22.4.2.6.2 Gesture Systems, Robot Interaction, Human-Robot Interaction, Human-Device Interaction

Kang, S.B.[Sing Bing], Ikeuchi, K.[Katsu],
Toward Automatic Robot Instruction from Perception: Temporal Segmentation of Tasks from Human Hand Motion,
RA(11), No. 5, October 1995, pp. 670-681. BibRef 9510
Earlier:
Determination of Motion Breakpoints in a Task Sequence from Human Hand Motion,
CRA94(551-556). BibRef

Kang, S.B.[Sing Bing], Ikeuchi, K.[Katsu],
Temporal Segmentation of Tasks from Human Hand Motion,
CMU-CS-TR-93-150, April 1993. BibRef 9304

Kang, S.B.[Sing Bing], Ikeuchi, K.[Katsushi],
Toward Automatic Robot Instruction from Perception: Mapping Human Grasps to Manipulator Grasps,
RA(13), No. 1, February 1997, pp. 81-95. 9703
BibRef
Earlier:
A Robot System That Observes and Replicates Grasping Tasks,
ICCV95(1093-1099).
IEEE DOI BibRef
Earlier: A2, A1:
Assembly Plan from Observation,
AAAI-MLCV93(xx). CMU. BibRef
Earlier: A1, A2:
A Framework for Recognizing Grasps,
CMU-RI-TR-91-24, November 1991.
PS File. BibRef

Kang, S.B., Ikeuchi, K.,
Toward Automatic Robot Instruction from Perception-Recognizing a Grasp from Observation,
RA(9), 1993, pp. 432-443. BibRef 9300

Jiar, Y.D.[Yun-De], Wheeler, M.D.[Mark D.], Ikeuchi, K.[Katsushi],
Hand Action Perception and Robot Instruction,
CMU-CS-TR-96-116, March 1996.
PS File. BibRef 9603

Triesch, J.[Jochen], von der Malsburg, C.[Christoph],
A System for Person-Independent Hand Posture Recognition against Complex Backgrounds,
PAMI(23), No. 12, December 2001, pp. 1449-1453.
IEEE DOI 0112
BibRef
And:
A Gesture Interface for Human-Robot-Interaction,
AFGR98(546-551).
IEEE DOI Elastic graph matching (
See also Distortion Invariant Object Recognition in the Dynamic Link Architecture. ). Extended to allow for changes at nodes. BibRef

Triesch, J.[Jochen], Wieghardt, J.[Jan], Maël, E.[Eric], von der Malsburg, C.[Christoph],
Towards Imitation Learning of Grasping Movements by an Autonomous Robot,
GW99(73).
Springer DOI 9903
BibRef

Triesch, J.[Jochen], von der Malsburg, C.[Christoph],
Classification of hand postures against complex backgrounds using elastic graph matching,
IVC(20), No. 13-14, December 2002, pp. 937-943.
Elsevier DOI 0212
BibRef
Earlier:
Robust classification of hand postures against complex backgrounds,
AFGR96(170-175).
IEEE DOI 9610
BibRef

Sato, Y.[Yosuke], Ogawa, T.[Tetsuji], Kobayashi, T.[Tetsunori],
Extension of Hidden Markov Models for Multiple Candidates and Its Application to Gesture Recognition,
IEICE(E88-D), No. 6, June 2005, pp. 1239-1247.
DOI Link 0506
BibRef

Sato, Y.[Yosuke], Kobayashi, T.[Tetsunori],
Extension of hidden markov models to deal with multiple candidates of observations and its application to mobile-robot-oriented gesture recognition,
ICPR02(II: 515-519).
IEEE DOI 0211
BibRef

Nickel, K.[Kai], Stiefelhagen, R.[Rainer],
Visual recognition of pointing gestures for human-robot interaction,
IVC(25), No. 12, 3 December 2007, pp. 1875-1884.
Elsevier DOI 0710
BibRef
Earlier:
Real-Time Person Tracking and Pointing Gesture Recognition for Human-Robot Interaction,
CVHCI04(28-38).
Springer DOI 0505
BibRef
Earlier:
Real-Time Recognition of 3D-Pointing Gestures for Human-Machine-Interaction,
DAGM03(557-565).
Springer DOI 0310
Person tracking; Gesture recognition; Head orientation; Human-robot interaction BibRef

Nickel, K.[Kai], Seemann, E., Stiefelhagen, R.,
3D-tracking of head and hands for pointing gesture recognition in a human-robot interaction scenario,
AFGR04(565-570).
IEEE DOI 0411
BibRef

Seemann, E., Nickel, K.[Kai], Stiefelhagen, R.,
Head pose estimation using stereo vision for human-robot interaction,
AFGR04(626-631).
IEEE DOI 0411
BibRef

Hong, J.H., Song, Y.S., Cho, S.B.,
Mixed-Initiative Human-Robot Interaction Using Hierarchical Bayesian Networks,
SMC-A(37), No. 6, November 2007, pp. 1158-1164.
IEEE DOI 0709
BibRef

Park, C.B.[Chang-Beom], Lee, S.W.[Seong-Whan],
Real-time 3D pointing gesture recognition for mobile robots with cascade HMM and particle filter,
IVC(29), No. 1, January 2011, pp. 51-63.
Elsevier DOI 1011
Human-robot interaction; Pointing gesture recognition; Cascade HMM; 3D particle filter BibRef

Park, C.B.[Chang-Beom], Roh, M.C.[Myung-Cheol], Lee, S.W.[Seong-Whan],
Real-time 3D pointing gesture recognition in mobile space,
FG08(1-6).
IEEE DOI 0809
BibRef

Lim, G.H., Suh, I.H., Suh, H.,
Ontology-Based Unified Robot Knowledge for Service Robots in Indoor Environments,
SMC-A(41), No. 3, May 2011, pp. 492-509.
IEEE DOI 1104
BibRef

Kasap, Z.[Zerrin], Magnenat-Thalmann, N.[Nadia],
Building long-term relationships with virtual and robotic characters: the role of remembering,
VC(28), No. 1, January 2012, pp. 87-97.
WWW Link. 1201
BibRef

Fasola, J., Mataric, M.J.,
Using Socially Assistive Human-Robot Interaction to Motivate Physical Exercise for Older Adults,
PIEEE(100), No. 8, August 2012, pp. 2512-2526.
IEEE DOI 1208
BibRef

Shibata, T.,
Therapeutic Seal Robot as Biofeedback Medical Device: Qualitative and Quantitative Evaluations of Robot Therapy in Dementia Care,
PIEEE(100), No. 8, August 2012, pp. 2527-2538.
IEEE DOI 1208
BibRef

Peng, K.C.C., Singhose, W., Bhaumik, P.,
Using Machine Vision and Hand-Motion Control to Improve Crane Operator Performance,
SMC-A(42), No. 6, November 2012, pp. 1496-1503.
IEEE DOI 1210
BibRef

Jacob, M.G.[Mithun George], Li, Y.T.[Yu-Ting], Akingba, G.A.[George A.], Wachs, J.P.[Juan P.],
Collaboration With a Robotic Scrub Nurse,
CACM(56), No. 5, May 2013, pp. 68-75.
DOI Link 1305
Surgeons use hand gestures and/or voice commands without interrupting the natural flow of a procedure. BibRef

Zheng, K., Glas, D.F., Kanda, T., Ishiguro, H., Hagita, N.,
Designing and Implementing a Human-Robot Team for Social Interactions,
SMCS(43), No. 4, 2013, pp. 843-859.
IEEE DOI 1307
Automation; Customer satisfaction; Robot sensing systems; Human-robot interaction;modeling BibRef

Pateraki, M.[Maria], Baltzakis, H.G.[Haris G.], Trahanias, P.E.[Panos E.],
Visual estimation of pointed targets for robot guidance via fusion of face pose and hand orientation,
CVIU(120), No. 1, 2014, pp. 1-13.
Elsevier DOI 1403
BibRef
Earlier: RobPerc11(1060-1067).
IEEE DOI 1201
Human-robot interaction BibRef

Alvarez-Santos, V., Iglesias, R., Pardo, X.M., Regueiro, C.V., Canedo-Rodriguez, A.,
Gesture-based interaction with voice feedback for a tour-guide robot,
JVCIR(25), No. 2, 2014, pp. 499-509.
Elsevier DOI 1403
Tour-guide robot BibRef

Yanik, P.M., Manganelli, J., Merino, J., Threatt, A.L., Brooks, J.O., Green, K.E., Walker, I.D.,
A Gesture Learning Interface for Simulated Robot Path Shaping With a Human Teacher,
HMS(44), No. 1, February 2014, pp. 41-54.
IEEE DOI 1403
gesture recognition BibRef

Chen, J.Y.C., Barnes, M.J.,
Human-Agent Teaming for Multirobot Control: A Review of Human Factors Issues,
HMS(44), No. 1, February 2014, pp. 13-29.
IEEE DOI 1403
control engineering computing BibRef

Matsumura, R., Shiomi, M., Miyashita, T., Ishiguro, H., Hagita, N.,
Who is Interacting With me: Identification of an Interacting Person Through Playful Interaction With a Small Robot,
HMS(44), No. 2, April 2014, pp. 169-179.
IEEE DOI 1404
human-robot interaction BibRef

Wiltshire, T.J., Fiore, S.M.,
Social Cognitive and Affective Neuroscience in Human-Machine Systems: A Roadmap for Improving Training, Human-Robot Interaction, and Team Performance,
HMS(44), No. 6, December 2014, pp. 779-787.
IEEE DOI 1412
computer based training BibRef

Doisy, G., Meyer, J., Edan, Y.,
The Impact of Human-Robot Interface Design on the Use of a Learning Robot System,
HMS(44), No. 6, December 2014, pp. 788-795.
IEEE DOI 1412
human-robot interaction BibRef

Zhang, Z., Beck, A., Magnenat-Thalmann, N.,
Human-Like Behavior Generation Based on Head-Arms Model for Robot Tracking External Targets and Body Parts,
Cyber(45), No. 8, August 2015, pp. 1390-1400.
IEEE DOI 1506
Face BibRef

Sheng, W., Thobbi, A., Gu, Y.,
An Integrated Framework for Human-Robot Collaborative Manipulation,
Cyber(45), No. 10, October 2015, pp. 2030-2041.
IEEE DOI 1509
Collaboration BibRef

Pfeiffer, S.[Sammy], Angulo, C.[Cecilio],
Gesture learning and execution in a humanoid robot via dynamic movement primitives,
PRL(67, Part 1), No. 1, 2015, pp. 100-107.
Elsevier DOI 1511
Dynamic movement primitives BibRef

Jevtic, A., Doisy, G., Parmet, Y., Edan, Y.,
Comparison of Interaction Modalities for Mobile Indoor Robot Guidance: Direct Physical Interaction, Person Following, and Pointing Control,
HMS(45), No. 6, December 2015, pp. 653-663.
IEEE DOI 1512
Gesture recognition BibRef

Das, D., Rashed, M.G., Kobayashi, Y., Kuno, Y.,
Supporting Human-Robot Interaction Based on the Level of Visual Focus of Attention,
HMS(45), No. 6, December 2015, pp. 664-675.
IEEE DOI 1512
Communication channels BibRef

Modares, H., Ranatunga, I., Lewis, F.L., Popa, D.O.,
Optimized Assistive Human-Robot Interaction Using Reinforcement Learning,
Cyber(46), No. 3, March 2016, pp. 655-667.
IEEE DOI 1602
Adaptation models BibRef

Kolling, A., Walker, P., Chakraborty, N., Sycara, K., Lewis, M.,
Human Interaction With Robot Swarms: A Survey,
HMS(46), No. 1, February 2016, pp. 9-26.
IEEE DOI 1602
human-robot interaction BibRef

Sefidgar, Y.S., MacLean, K.E., Yohanan, S., van der Loos, H.F.M., Croft, E.A., Garland, E.J.,
Design and Evaluation of a Touch-Centered Calming Interaction with a Social Robot,
AffCom(7), No. 2, April 2016, pp. 108-121.
IEEE DOI 1606
Animals BibRef

Canal, G.[Gerard], Escalera, S.[Sergio], Angulo, C.[Cecilio],
A real-time Human-Robot Interaction system based on gestures for assistive scenarios,
CVIU(149), No. 1, 2016, pp. 65-77.
Elsevier DOI 1606
Gesture recognition BibRef

Sakamoto, D., Sugiura, Y., Inami, M., Igarashi, T.,
Graphical Instruction for Home Robots,
Computer(49), No. 7, July 2016, pp. 20-25.
IEEE DOI 1608
graphical user interfaces BibRef

Ye, W.Q.[Wei-Quan], Li, Z.J.[Zhi-Jun], Yang, C.G.[Chen-Guang], Sun, J.J.[Jun-Jie], Su, C.Y.[Chun-Yi], Lu, R.Q.[Ren-Quan],
Vision-Based Human Tracking Control of a Wheeled Inverted Pendulum Robot,
Cyber(46), No. 11, November 2016, pp. 2423-2434.
IEEE DOI 1609
adaptive control BibRef

Ficocelli, M., Terao, J., Nejat, G.,
Promoting Interactions Between Humans and Robots Using Robotic Emotional Behavior,
Cyber(46), No. 12, December 2016, pp. 2911-2923.
IEEE DOI 1612
Adaptation models BibRef

Guo, S.H.[Shi-Hui], Xu, H.X.[Han-Xiang], Magnenat-Thalmann, N.[Nadia], Yao, J.F.[Jun-Feng],
Customization and fabrication of the appearance for humanoid robot,
VC(33), No. 1, January 2017, pp. 63-74.
WWW Link. 1702
BibRef

Cerekovic, A.[Aleksandra], Aran, O.[Oya], Gatica-Perez, D.[Daniel],
Rapport with Virtual Agents: What Do Human Social Cues and Personality Explain?,
AffCom(8), No. 3, July 2017, pp. 382-395.
IEEE DOI 1709
BibRef
Earlier:
How Do You Like Your Virtual Agent?: Human-Agent Interaction Experience through Nonverbal Features and Personality Traits,
HBU14(1-15).
Springer DOI 1411
Affective computing, Observers, Psychology, Visualization, Human-agent interaction, human personality, nonverbal behavior analysis, rapport prediction, social signal processing BibRef

Quintas, J., Menezes, P., Dias, J.,
Information Model and Architecture Specification for Context Awareness Interaction Decision Support in Cyber-Physical Human-Machine Systems,
HMS(47), No. 3, June 2017, pp. 323-331.
IEEE DOI 1706
Adaptation models, Ambient assisted living, Computer architecture, Context, Context modeling, Context-aware services, Robots, Active and assisted living, adaptive systems, context awareness, decision systems, human-machine systems, human-system, interaction architecture BibRef

Cho, H.K.[Hye-Kyung], Oh, J.[Junseok], Lee, K.[Kyung_Ok],
A study on the potential roles of a robot peer in socio-emotional development of children,
IJCVR(7), No. 3, 2017, pp. 335-343.
DOI Link 1704
BibRef

Lemaignan, S.[Séverin], Warnier, M.[Mathieu], Sisbot, E.A.[E. Akin], Clodic, A.[Aurélie], Alami, R.[Rachid],
Artificial cognition for social human-robot interaction: An implementation,
AI(247), No. 1, 2017, pp. 45-69.
Elsevier DOI 1705
Human-robot, interaction BibRef

Senft, E.[Emmanuel], Baxter, P.[Paul], Kennedy, J.[James], Lemaignan, S.[Séverin], Belpaeme, T.[Tony],
Supervised autonomy for online learning in human-robot interaction,
PRL(99), No. 1, 2017, pp. 77-86.
Elsevier DOI 1710
Human-Robot, interaction BibRef

Jevtic, A.[Aleksandar], Colomé, A.[Adrià], Alenyà, G.[Guillem], Torras, C.[Carme],
Robot motion adaptation through user intervention and reinforcement learning,
PRL(105), 2018, pp. 67-75.
Elsevier DOI 1804
Learning and adaptive systems, Robotics, Motion learning, Human-Robot interaction BibRef

van Paassen, M.M.[Marinus M.], Borst, C.[Clark], Ellerbroek, J.[Joost], Mulder, M.[Max], Flach, J.M.[John M.],
Ecological Interface Design for Vehicle Locomotion Control,
HMS(48), No. 5, October 2018, pp. 541-555.
IEEE DOI 1809
Interface design. Task analysis, Planning, Aircraft, Control systems, Aerospace electronics, Optical feedback, Optical sensors, vehicle control BibRef

Zhang, J.Z.[Ju-Zheng], Zheng, J.M.[Jian-Min], Magnenat-Thalmann, N.[Nadia],
MCAEM: mixed-correlation analysis-based episodic memory for companion-user interactions,
VC(34), No. 6-8, June 2018, pp. 1129-1141.
Springer DOI 1806
Companion-human interaction, aiming at improving user experience of interactions. BibRef

Paperno, N., Rupp, M.A., Parkhurst, E.L., Maboudou-Tchao, E.M., Smither, J.A., Bricout, J., Behal, A.,
Age and Gender Differences in Performance for Operating a Robotic Manipulator,
HMS(49), No. 2, April 2019, pp. 137-149.
IEEE DOI 1903
Task analysis, Manipulators, Human factors, Graphical user interfaces, Navigation, Robot sensing systems, machine learning BibRef

Quintas, J., Martins, G.S., Santos, L., Menezes, P., Dias, J.,
Toward a Context-Aware Human-Robot Interaction Framework Based on Cognitive Development,
SMCS(49), No. 1, January 2019, pp. 227-237.
IEEE DOI 1901
Biological system modeling, Robots, Adaptation models, Context modeling, Task analysis, Planning, Decision making, interaction design BibRef

Martins, G.S.[Gonçalo S.], Al Tair, H.[Hend], Santos, L.[Luís], Dias, J.[Jorge],
aPOMDP: POMDP-based user-adaptive decision-making for social robots,
PRL(118), 2019, pp. 94-103.
Elsevier DOI 1902
Social robots, POMDPs, Automated planning, Decision making, Machine learning BibRef

Fuse, Y.[Yotaro], Takenouchi, H.[Hiroshi], Tokumaru, M.[Masataka],
A Robot Model That Obeys a Norm of a Human Group by Participating in the Group and Interacting with Its Members,
IEICE(E102-D), No. 1, January 2019, pp. 185-194.
WWW Link. 1901
BibRef

Wang, W., Li, R., Diekel, Z.M., Chen, Y., Zhang, Z., Jia, Y.,
Controlling Object Hand-Over in Human-Robot Collaboration Via Natural Wearable Sensing,
HMS(49), No. 1, February 2019, pp. 59-71.
IEEE DOI 1901
Robot sensing systems, Task analysis, Robot kinematics, Collaboration, Electromyography, Hand-over control, object attribute recognition BibRef

Amirshirzad, N., Kumru, A., Oztop, E.,
Human Adaptation to Human-Robot Shared Control,
HMS(49), No. 2, April 2019, pp. 126-136.
IEEE DOI 1903
Task analysis, Robot sensing systems, Robot kinematics, Manipulators, Control systems, Collaboration, shared control BibRef

Hoffman, G.,
Evaluating Fluency in Human-Robot Collaboration,
HMS(49), No. 3, June 2019, pp. 209-218.
IEEE DOI 1906
Measurement, Robot kinematics, Robot sensing systems, Task analysis, Teamwork, Artificial intelligence, user interfaces BibRef

Inbar, O., Meyer, J.,
Politeness Counts: Perceptions of Peacekeeping Robots,
HMS(49), No. 3, June 2019, pp. 232-240.
IEEE DOI 1906
Robot sensing systems, Cultural differences, Automation, Weapons, Buildings, Man-machine systems, Cognitive robotics, etiquette, service robots BibRef

van Diggelen, J., Neerincx, M., Peeters, M., Schraagen, J.M.,
Developing Effective and Resilient Human-Agent Teamwork Using Team Design Patterns,
IEEE_Int_Sys(34), No. 2, March 2019, pp. 15-24.
IEEE DOI 1906
Teamwork, Ontologies, Intelligent systems, Resilience, Degradation, Task analysis, Resistance BibRef

Dong, J.Q.[Jia-Qi], Xia, Z.Y.[Ze-Yang], Yan, W.[Weiwu], Zhao, Q.F.[Qun-Fei],
Dynamic gesture recognition by directional pulse coupled neural networks for human-robot interaction in real time,
JVCIR(63), 2019, pp. 102583.
Elsevier DOI 1909
Human-robot interaction, Dynamic gesture recognition, Graph theory problem, Early recognition BibRef

Jiang, C., Ni, Z., Guo, Y., He, H.,
Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization,
SMCS(49), No. 4, April 2019, pp. 797-813.
IEEE DOI 1903
Dynamics, Collision avoidance, Force, Optimization, Robot motion, Real-time systems, Human-robot interaction (HRI), socially assistive robots BibRef

Li, X.[Xing],
Human-robot interaction based on gesture and movement recognition,
SP:IC(81), 2020, pp. 115686.
Elsevier DOI 1912
Gesture recognition, Movement recognition, DTW, 3D SSD, Human-robot interaction BibRef

Xu, S.P.[Shu-Ping], Liang, L.X.[Li-Xin], Ji, C.B.[Cheng-Bin],
Gesture recognition for human-machine interaction in table tennis video based on deep semantic understanding,
SP:IC(81), 2020, pp. 115688.
Elsevier DOI 1912
Video semantic learning, Gesture recognition, human-machine interaction, Table tennis, Dynamic time warping BibRef

Du, G., Yao, G., Li, C., Liu, P.X.,
Natural Human-Robot Interface Using Adaptive Tracking System with the Unscented Kalman Filter,
HMS(50), No. 1, February 2020, pp. 42-54.
IEEE DOI 2001
Adaptive tracking, adaptive velocity control (AVC), human-robot interface, leap motion (LM), unscented Kalman filter (UKF) BibRef

Yu, B., Zhang, X., Wu, L., Chen, X., Chen, X.,
A Novel Postprocessing Method for Robust Myoelectric Pattern-Recognition Control Through Movement Pattern Transition Detection,
HMS(50), No. 1, February 2020, pp. 32-41.
IEEE DOI 2001
Human-computer interface, movement pattern transition (MPT), myoelectric control, postprocessing BibRef

Young, S.N., Peschel, J.M.,
Review of Human-Machine Interfaces for Small Unmanned Systems With Robotic Manipulators,
HMS(50), No. 2, April 2020, pp. 131-143.
IEEE DOI 2004
Manipulators, Task analysis, Workstations, Robot sensing systems, Performance evaluation, Human-robot interaction, manipulators, user interfaces BibRef

Ji, Y., Yang, Y., Shen, F., Shen, H.T., Li, X.,
A Survey of Human Action Analysis in HRI Applications,
CirSysVideo(30), No. 7, July 2020, pp. 2114-2128.
IEEE DOI 2007
Survey, Human Robot Interaction. Human-robot interaction, action recognition, action prediction, action imitation, datasets, robots BibRef

Barbed, O.L., Azagra, P., Teixeira, L., Chli, M., Civera, J., Murillo, A.C.,
Fine grained pointing recognition for natural drone guidance,
VUHCS20(4480-4488)
IEEE DOI 2008
Drones, Robots, Image segmentation, Skeleton, Cameras, Elbow, Wrist BibRef

Al-Makhadmeh, Z.[Zafer], Tolba, A.[Amr],
Dependable information processing method for reliable human-robot interactions in smart city applications,
IVC(104), 2020, pp. 104045.
Elsevier DOI 2012
Attribute categorization, Human-robot interaction, Information processing, K-means clustering, Smart city BibRef

Sheron, P.S.F.[P.S. Febin], Sridhar, K.P., Baskar, S., Shakeel, P.M.[P. Mohamed],
Projection-dependent input processing for 3D object recognition in human robot interaction systems,
IVC(106), 2021, pp. 104089.
Elsevier DOI 2102
3D images, Dimension modeling, HRI, Principle component analysis, Space projection BibRef

Yu, X., He, W., Li, Y., Xue, C., Li, J., Zou, J., Yang, C.,
Bayesian Estimation of Human Impedance and Motion Intention for Human-Robot Collaboration,
Cyber(51), No. 4, April 2021, pp. 1822-1834.
IEEE DOI 2103
Robots, Impedance, Task analysis, Estimation, Force, Dynamics, Bayes methods, Adaptive impedance control, Bayesian estimation, neural networks (NNs) BibRef

Broekens, J.[Joost], Chetouani, M.[Mohamed],
Towards Transparent Robot Learning Through TDRL-Based Emotional Expressions,
AffCom(12), No. 2, April 2021, pp. 352-362.
IEEE DOI 2106
Task analysis, Robot kinematics, Robot learning, Reinforcement learning, Computational modeling, Education, temporal difference BibRef

Freire-Obregón, D.[David], Rosales-Santana, K.[Kevin], Marín-Reyes, P.A.[Pedro A.], Penate-Sanchez, A.[Adrian], Lorenzo-Navarro, J.[Javier], Castrillón-Santana, M.[Modesto],
Improving user verification in human-robot interaction from audio or image inputs through sample quality assessment,
PRL(149), 2021, pp. 179-184.
Elsevier DOI 2108
Biometric verification, Audiovisual verification, Human robot interaction BibRef

Kress-Gazit, H.[Hadas], Eder, K.[Kerstin], Hoffman, G.[Guy], Admoni, H.[Henny], Argall, B.[Brenna], Ehlers, R.[Rüdiger], Heckman, C.[Christoffer], Jansen, N.[Nils], Knepper, R.[Ross], Kretínský, J.[Jan], Levy-Tzedek, S.[Shelly], Li, J.[Jamy], Murphey, T.[Todd], Riek, L.[Laurel], Sadigh, D.[Dorsa],
Formalizing and Guaranteeing Human-Robot Interaction,
CACM(64), No. 9, September 2021, pp. 78-84.
DOI Link 2109
As robots begin to interact closely with humans, we need to build systems worthy of trust regarding the safety and quality of the interaction. BibRef

Ben-Youssef, A.[Atef], Clavel, C.[Chloé], Essid, S.[Slim],
Early Detection of User Engagement Breakdown in Spontaneous Human-Humanoid Interaction,
AffCom(12), No. 3, July 2021, pp. 776-787.
IEEE DOI 2109
Robots, Electric breakdown, Feature extraction, Predictive models, Task analysis, Computational modeling, Analytical models, real-time prediction BibRef

Demir, M.[Mustafa], McNeese, N.J.[Nathan J.], Gorman, J.C.[Jaime C.], Cooke, N.J.[Nancy J.], Myers, C.W.[Christopher W.], Grimm, D.A.[David A.],
Exploration of Teammate Trust and Interaction Dynamics in Human-Autonomy Teaming,
HMS(51), No. 6, December 2021, pp. 696-705.
IEEE DOI 2112
Automation, Task analysis, Autonomous agents, Artificial intelligence, Dynamical systems, unmanned air vehicle systems BibRef

Li, H.[Huao], Ni, T.W.[Tian-Wei], Agrawal, S.[Siddharth], Jia, F.[Fan], Raja, S.[Suhas], Gui, Y.K.[Yi-Kang], Hughes, D.[Dana], Lewis, M.[Michael], Sycara, K.[Katia],
Individualized Mutual Adaptation in Human-Agent Teams,
HMS(51), No. 6, December 2021, pp. 706-714.
IEEE DOI 2112
Game theory, Adaptive systems, Teamwork, Human-robot interaction, Adaptation models, Adaptive systems, human-robot teams, team performance BibRef

Bustamante, S.[Samuel], Peters, J.[Jan], Schölkopf, B.[Bernhard], Grosse-Wentrup, M.[Moritz], Jayaram, V.[Vinay],
ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics,
HMS(51), No. 6, December 2021, pp. 568-577.
IEEE DOI 2112
Rehabilitation robotics, Laboratories, Prosthetics, Human-robot interaction, Virtual reality, ArmSym, virtual reality BibRef

Matarese, M.[Marco], Sciutti, A.[Alessandra], Rea, F.[Francesco], Rossi, S.[Silvia],
Toward Robots' Behavioral Transparency of Temporal Difference Reinforcement Learning With a Human Teacher,
HMS(51), No. 6, December 2021, pp. 578-589.
IEEE DOI 2112
Humanoid robots, Reinforcement learning, Human-robot interaction, Human-robot interaction, humanoid robot, transparency BibRef

Kanazawa, A.[Akira], Kinugawa, J.[Jun], Kosuge, K.[Kazuhiro],
Motion Planning for Human-Robot Collaboration Using an Objective-Switching Strategy,
HMS(51), No. 6, December 2021, pp. 590-600.
IEEE DOI 2112
Human-robot interaction, Motion planning, Adaptive control, Trajectory, Collision avoidance, motion planning BibRef

Annamalai, R.[Ramanathan], Dorneich, M.C.[Michael C.], Tokadli, G.[Güliz],
Evaluating the Effect of Poor Contrast Ratio in Simulated Sensor-Based Vision Systems on Performance,
HMS(51), No. 6, December 2021, pp. 632-640.
IEEE DOI 2112
Machine vision, Human factors, Human computer interaction, FAA, Human factors, human-computer interaction, pilot performance, sensor-based vision system BibRef

Yang, C.J.[Can-Jun], Zhu, Y.C.[Yuan-Chao], Chen, Y.H.[Yan-Hu],
A Review of Human-Machine Cooperation in the Robotics Domain,
HMS(52), No. 1, February 2022, pp. 12-25.
IEEE DOI 2201
Robots, Robot sensing systems, Robot kinematics, Task analysis, Sensors, Decision making, Automation, Cooperative control, shared control BibRef

Hu, Y.[Yue], Abe, N.[Naoko], Benallegue, M.[Mehdi], Yamanobe, N.[Natsuki], Venture, G.[Gentiane], Yoshida, E.[Eiichi],
Toward Active Physical Human-Robot Interaction: Quantifying the Human State During Interactions,
HMS(52), No. 3, June 2022, pp. 367-378.
IEEE DOI 2205
Robots, Games, Task analysis, Particle measurements, Atmospheric measurements, Force, Safety, Human-centered robotics, physical human-robot interaction BibRef

Liu, S.P.[Shao-Peng], Tian, G.H.[Guo-Hui], Zhang, Y.[Ying], Duan, P.[Peng],
Scene Recognition Mechanism for Service Robot Adapting Various Families: A CNN-Based Approach Using Multi-Type Cameras,
MultMed(24), 2022, pp. 2392-2406.
IEEE DOI 2205
Cameras, Robot vision systems, Image recognition, Robots, Service robots, Training, Cloud computing, Scene recognition, feature fusion BibRef

Sharifi, M.[Mojtaba], Zakerimanesh, A.[Amir], Mehr, J.K.[Javad K.], Torabi, A.[Ali], Mushahwar, V.K.[Vivian K.], Tavakoli, M.[Mahdi],
Impedance Variation and Learning Strategies in Human-Robot Interaction,
Cyber(52), No. 7, July 2022, pp. 6462-6475.
IEEE DOI 2207
Impedance, Robots, Task analysis, Robot kinematics, Force, Damping, End effectors, Human-robot interaction (HRI), robot stability BibRef

Kobayashi, T.[Taisuke], Murata, S.[Shingo], Inamura, T.[Tetsunari],
Latent Representation in Human-Robot Interaction With Explicit Consideration of Periodic Dynamics,
HMS(52), No. 5, October 2022, pp. 928-940.
IEEE DOI 2209
Robots, Optimization, Behavioral sciences, Aerospace electronics, Markov processes, Feature extraction, Decoding, Complex domain, recurrent neural networks (RNNs) BibRef

Tan, Z.Y.[Zheng-Yu], Dai, N.Y.[Ning-Yi], Su, Y.T.[Ya-Ting], Zhang, R.[Ruifo], Li, Y.J.[Yi-Jun], Wu, D.[Di], Li, S.T.[Shu-Tao],
Human-Machine Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and Opportunities,
ITS(23), No. 9, September 2022, pp. 13954-13975.
IEEE DOI 2209
Sensors, Connected vehicles, Manuals, Speech recognition, Human factors, Autonomous vehicles, Manufacturing, survey BibRef

Ding, Y.L.[Yu-Long], Xin, B.[Bin], Chen, J.[Jie], Yang, Q.K.[Qing-Kai], Fang, H.[Hao],
A Unifying Framework for Human-Agent Collaborative Systems: Part II: Design Procedure and Application,
Cyber(52), No. 11, November 2022, pp. 11990-12002.
IEEE DOI 2211
Task analysis, Systematics, Resource management, Teamwork, Magnetic analysis, Tools, Technological innovation, top-level design procedure BibRef

Liu, M.J.[Ming-Jiang], Xiao, C.[Chengli], Chen, C.L.[Chun-Lin],
Perspective-Corrected Spatial Referring Expression Generation for Human-Robot Interaction,
SMCS(52), No. 12, December 2022, pp. 7654-7666.
IEEE DOI 2212
Robots, Human-robot interaction, Visualization, Task analysis, Robot sensing systems, Psychology, Spatial resolution, spatial referring expression generation (REG) BibRef

Hussain, N.[Nusrah], Erzin, E.[Engin], Sezgin, T.M.[T. Metin], Yemez, Y.[Yücel],
Training Socially Engaging Robots: Modeling Backchannel Behaviors with Batch Reinforcement Learning,
AffCom(13), No. 4, October 2022, pp. 1840-1853.
IEEE DOI 2212
Robots, Behavioral sciences, Social robots, Training, Robot sensing systems, Older adults, Hidden Markov models, batch reinforcement learning BibRef

Xia, Y.J.[Yuan-Jie], Khamis, M.[Mohamed], Fernandez, F.A.[F. Anibal], Heidari, H.[Hadi], Butt, H.[Haider], Ahmed, Z.[Zubair], Wilkinson, T.[Tim], Ghannam, R.[Rami],
State-of-the-Art in Smart Contact Lenses for Human-Machine Interaction,
HMS(53), No. 1, February 2023, pp. 187-200.
IEEE DOI 2301
Lenses, Sensors, Monitoring, Glucose, Gaze tracking, Biomedical monitoring, Intelligent sensors, Contact lenses, wearables BibRef

Villani, V.[Valeria], Secchi, C.[Cristian], Lippi, M.[Marco], Sabattini, L.[Lorenzo],
A General Pipeline for Online Gesture Recognition in Human-Robot Interaction,
HMS(53), No. 2, April 2023, pp. 315-324.
IEEE DOI 2303
Robots, Human-robot interaction, Gesture recognition, Pipelines, Training, Prediction algorithms, Machine learning algorithms, human-robot interaction BibRef

Gao, Q.[Qing], Ju, Z.J.[Zhao-Jie], Chen, Y.Q.[Yong-Quan], Wang, Q.W.[Qi-Wen], Zhao, Y.[Yinan], Lai, S.[Shiwu],
Parallel Dual-Hand Detection by Using Hand and Body Features for Robot Teleoperation,
HMS(53), No. 2, April 2023, pp. 417-426.
IEEE DOI 2303
Robots, Robot kinematics, Feature extraction, Detectors, Task analysis, Service robots, Pose estimation, robot teleoperation BibRef

Cang, X.L.[Xi Laura], Bucci, P.[Paul], Rantala, J.[Jussi], MacLean, K.E.[Karon E.],
Discerning Affect From Touch and Gaze During Interaction With a Robot Pet,
AffCom(14), No. 2, April 2023, pp. 1598-1612.
IEEE DOI 2306
Training, Emotion recognition, Biometrics (access control), Computational modeling, Biological system modeling, emotion classification BibRef

Fahim, M.A.A.[Md Abdullah Al], Khan, M.M.H.[Mohammad Maifi Hasan], Jensen, T.[Theodore], Albayram, Y.[Yusuf], Coman, E.[Emil], Buck, R.[Ross],
The Mediating Effect of Emotions on Trust in the Context of Automated System Usage,
AffCom(14), No. 2, April 2023, pp. 1572-1585.
IEEE DOI 2306
Task analysis, Automation, Robots, Reliability engineering, Drones, Decision making, Calibration, Emotion, trust, mediation, warning, time-critical systems BibRef

Ghafurian, M.[Moojan], Budnarain, N.[Neil], Hoey, J.[Jesse],
Improving Humanness of Virtual Agents and Users' Cooperation Through Emotions,
AffCom(14), No. 2, April 2023, pp. 1461-1471.
IEEE DOI 2306
Games, Animals, Biological system modeling, Appraisal, Faces, Intelligent agents, Dictionaries, Affective computing, enjoyment BibRef

Yang, S.[Shuo], Zhang, W.[Wei], Song, R.[Ran], Cheng, J.[Jiyu], Wang, H.S.[He-Sheng], Li, Y.[Yibin],
Watch and Act: Learning Robotic Manipulation From Visual Demonstration,
SMCS(53), No. 7, July 2023, pp. 4404-4416.
IEEE DOI 2307
Robots, Visualization, Affordances, Task analysis, Pipelines, Predictive models, Annotations, Affordance learning, robotic grasping BibRef

An, T.J.[Tian-Jiao], Wang, Y.X.[Yue-Xi], Liu, G.[Guangjun], Li, Y.[Yuanchun], Dong, B.[Bo],
Cooperative Game-Based Approximate Optimal Control of Modular Robot Manipulators for Human-Robot Collaboration,
Cyber(53), No. 7, July 2023, pp. 4691-4703.
IEEE DOI 2307
Task analysis, Robot sensing systems, Optimal control, Games, Estimation, Harmonic analysis, Robot kinematics, modular robot manipulator (MRM) BibRef

Li, X.Y.[Xiang-Yun], Lu, Q.[Qi], Chen, J.L.[Jia-Li], Jiang, N.[Ning], Li, K.[Kang],
A Robust Region Control Approach for Simultaneous Trajectory Tracking and Compliant Physical Human-Robot Interaction,
SMCS(53), No. 10, October 2023, pp. 6388-6400.
IEEE DOI 2310
BibRef

Gong, L.[Liang], Yang, Z.Y.[Zhi-Yu], Yao, Y.H.[Yi-Hang], Chen, B.[Binhao], Wang, W.J.[Wen-Jie], Du, X.F.[Xiao-Feng], He, Y.D.[Yi-Dong], Liu, C.L.[Cheng-Liang],
An Integrated in Situ Image Acquisition and Annotation Scheme for Instance Segmentation Models in Open Scenes With a Human-Robot Interaction Approach,
HMS(53), No. 5, October 2023, pp. 834-843.
IEEE DOI 2310
BibRef

Park, S.[Sungbin], Park, K.[Kyungseo], Shin, W.[Wonseok], Kim, J.[Jung],
Stiffness-Switchable Hydrostatic Transmission Toward Safe Physical Human-Robot Interaction,
HMS(53), No. 5, October 2023, pp. 855-864.
IEEE DOI 2310
BibRef

Díaz, M.A.[María Alejandra], Voß, M.[Matthias], Dillen, A.[Arnau], Tassignon, B.[Bruno], Flynn, L.[Louis], Geeroms, J.[Joost], Meeusen, R.[Romain], Verstraten, T.[Tom], Babic, J.[Jan], Beckerle, P.[Philipp], de Pauw, K.[Kevin],
Human-in-the-Loop Optimization of Wearable Robotic Devices to Improve Human-Robot Interaction: A Systematic Review,
Cyber(53), No. 12, December 2023, pp. 7483-7496.
IEEE DOI 2312
BibRef

Akgun, S.A.[Sami Alperen], Ghafurian, M.[Moojan], Crowley, M.[Mark], Dautenhahn, K.[Kerstin],
Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios,
AffCom(14), No. 4, October 2023, pp. 3013-3030.
IEEE DOI 2312
BibRef

Chen, L.F.[Lue-Feng], Li, M.[Min], Wu, M.[Min], Pedrycz, W.[Witold], Hirota, K.[Kaoru],
Convolutional Features-Based Broad Learning With LSTM for Multidimensional Facial Emotion Recognition in Human-Robot Interaction,
SMCS(54), No. 1, January 2024, pp. 64-75.
IEEE DOI 2312
BibRef

Kim, R.Y.[Rae Yule],
Anthropomorphism and Human-Robot Interaction,
CACM(67), No. 1, February 2024, pp. 80-85.
DOI Link 2402
BibRef

Yang, G.[Guanci], Lin, J.C.[Jia-Cheng], Su, Z.D.[Zhi-Dong], Li, Y.[Yang],
Visual privacy behaviour recognition for social robots based on an improved generative adversarial network,
IET-CV(18), No. 1, 2024, pp. 110-123.
DOI Link 2403
convolutional neural nets, feature extraction, human-robot interaction, image recognition BibRef

Rakovic, M.[Mirko], Duarte, N.F.[Nuno Ferreira], Marques, J.[Jorge], Billard, A.[Aude], Santos-Victor, J.[José],
The Gaze Dialogue Model: Nonverbal Communication in HHI and HRI,
Cyber(54), No. 4, April 2024, pp. 2026-2039.
IEEE DOI 2403
Robots, Task analysis, Robot kinematics, Behavioral sciences, Head, Predictive models, human-robot interaction (HRI) BibRef

Salam, H.[Hanan], Celiktutan, O.[Oya], Gunes, H.[Hatice], Chetouani, M.[Mohamed],
Automatic Context-Aware Inference of Engagement in HMI: A Survey,
AffCom(15), No. 2, April 2024, pp. 445-464.
IEEE DOI 2406
Surveys, Human computer interaction, Context modeling, Human-robot interaction, Task analysis, Computational modeling, context-aware computing BibRef

Gao, Y.[Yue], Fu, Y.Q.[Yang-Qing], Sun, M.[Ming], Gao, F.[Feng],
Multi-Modal Hierarchical Empathetic Framework for Social Robots With Affective Body Control,
AffCom(15), No. 3, July 2024, pp. 1621-1633.
IEEE DOI 2409
Emotion recognition, Feature extraction, Robot sensing systems, Social robots, Hidden Markov models, Transformers, social robot BibRef

Ma, Z.Q.[Zhi-Qiang], Duan, X.L.[Xiao-Long], Dong, H.L.[Han-Lin], Liu, Z.X.[Zheng-Xiong], Zhong, Y.L.[Yi-Lei], Yang, Y.[Yang], Huang, P.F.[Pan-Feng],
Practical Reset Logarithmic Sliding Mode Control for Physical Human-Robot Interaction With Sensorless Behavior Estimation,
SMCS(54), No. 10, October 2024, pp. 5901-5911.
IEEE DOI 2410
Vectors, End effectors, Trajectory, Manipulator dynamics, Sensors, Impedance, Control systems, Adaptive control, sensorless behavior estimation BibRef

de Pace, F.[Francesco], Manuri, F.[Federico], Bosco, M.[Matteo], Sanna, A.[Andrea], Kaufmann, H.[Hannes],
Supporting Human-Robot Interaction by Projected Augmented Reality and a Brain Interface,
HMS(54), No. 5, October 2024, pp. 599-608.
IEEE DOI 2410
Robots, Visualization, Task analysis, Manipulators, Image color analysis, Performance evaluation, steady-state visual evoked potential (SSVEP) BibRef

Yu, R.R.[Rong-Rong], Zhao, X.[Xu], Lu, S.[Si], Chen, Y.H.[Ye-Hwa], Li, C.[Chenming],
Intelligent Game-Theoretic Approach for Resilient Robust Control Design of Cyber-Physical Systems: Application to Intelligent Transportation Systems,
ITS(25), No. 11, November 2024, pp. 16072-16083.
IEEE DOI 2411
Interference, Uncertainty, Robust control, Control design, Games, Matrix decomposition, Cyber-physical systems, Uncertain systems, Stackelberg strategy BibRef

Wang, Z.[Zifan], Chen, J.Y.[Jun-Yu], Chen, Z.Q.[Zi-Qing], Xie, P.W.[Peng-Wei], Chen, R.[Rui], Yi, L.[Li],
GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation,
CVPR24(16362-16372)
IEEE DOI 2410
Geometry, Solid modeling, Imitation learning, Handover, Animation, Trajectory, Human-to-Robot Handover, Human Robot Interaction, Sim-to-Real Transfer BibRef

Cao, Z.H.[Zhi-Hao], Wang, Z.D.[Zi-Dong], Xie, S.[Siwen], Liu, A.[Anji], Fan, L.F.[Li-Feng],
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households,
CVPR24(18091-18101)
IEEE DOI 2410
Human computer interaction, Adaptation models, Computational modeling, Benchmark testing, Assistive robots BibRef

Zhang, H.[Hanbo], Xu, J.[Jie], Mo, Y.C.[Yu-Chen], Kong, T.[Tao],
InViG: Benchmarking Open-Ended Interactive Visual Grounding with 500K Dialogues,
Crowded24(5508-5518)
IEEE DOI Code:
WWW Link. 2410
Visualization, Image resolution, Codes, Grounding, Human-robot interaction BibRef

Hou, Y.Q.[Yu-Qi], Zhang, Z.Q.[Zhong-Qun], Horanyi, N.[Nora], Moon, J.W.[Jae-Won], Cheng, Y.H.[Yi-Hua], Chang, H.J.[Hyung Jin],
Multi-Modal Gaze Following in Conversational Scenarios,
WACV24(1175-1184)
IEEE DOI 2404
Visualization, Correlation, Lips, Estimation, Human-robot interaction, Gaze tracking, Algorithms, Datasets and evaluations BibRef

Dhaussy, T.[Timothée], Jabaian, B.[Bassam], Lefèvre, F.[Fabrice],
Interaction acceptance modelling and estimation for a proactive engagement in the context of human-robot interactions,
ASI23(3061-3066)
IEEE DOI 2401
BibRef

Christen, S.[Sammy], Yang, W.[Wei], Pérez-d'Arpino, C.[Claudia], Hilliges, O.[Otmar], Fox, D.[Dieter], Chao, Y.W.[Yu-Wei],
Learning Human-to-Robot Handovers from Point Clouds,
CVPR23(9654-9664)
IEEE DOI 2309
BibRef

Deitke, M.[Matt], Hendrix, R.[Rose], Farhadi, A.[Ali], Ehsani, K.[Kiana], Kembhavi, A.[Aniruddha],
Phone2Proc: Bringing Robust Robots into Our Chaotic World,
CVPR23(9665-9675)
IEEE DOI 2309
BibRef

Tran, N.[Nhan], Grant, T.[Trevor], Phung, T.[Thao], Hirshfield, L.[Leanne], Wickens, C.[Christopher], Williams, T.[Tom],
Now Look Here! ? Mixed Reality Improves Robot Communication Without Cognitive Overload,
VAMR23(395-415).
Springer DOI 2307
BibRef

Teogalbo, D.J.R.[Digno J. R.], Auner, D.[David], Ayala, N.[Natalie], Burnell, C.[Charles], Dayrit, T.[Trice], Gamel, G.[Gamma], Lotspeich, N.[Nick], Smith, A.[Alex], Swanson, S.[Steve], Willerup, E.[Elias], Williamson, B.[Brady], Villanueva, B.[Ben],
Mixed Reality Applications for Manipulating Robots and Rovers: Arsis 6.0,
VAMR23(382-394).
Springer DOI 2307
BibRef

Holzbock, A.[Adrian], Kern, N.[Nicolai], Waldschmidt, C.[Christian], Dietmayer, K.[Klaus], Belagiannis, V.[Vasileios],
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles,
AVVision22(570-584).
Springer DOI 2304
Pedestrian gestures, vehicle reacts. BibRef

Zhao, Y.[Yiyue], Lei, C.[Cailin], Shen, Y.[Yu], Du, Y.C.[Yu-Chuan], Chen, Q.J.[Qi-Jun],
Human-vehicle Cooperative Visual Perception for Autonomous Driving Under Complex Traffic Environments,
AVVision22(646-662).
Springer DOI 2304
BibRef

Mozgai, S.[Sharon], Beland, S.[Sarah], Leeds, A.[Andrew], Winn, J.G.[Jade G.], Kaurloto, C.[Cari], Heylen, D.[Dirk], Hartholt, A.[Arno],
Toward a Scoping Review of Social Intelligence in Virtual Humans,
FG23(1-6)
IEEE DOI 2303
Graphics, Emotion recognition, Face recognition, Aggregates, Collaboration, Organizations, Gesture recognition BibRef

Alghowinem, S.[Sharifa], Jeong, S.[Sooyeon], Arias, K.[Kika], Picard, R.[Rosalind], Breazeal, C.[Cynthia], Park, H.W.[Hae Won],
Beyond the Words: Analysis and Detection of Self-Disclosure Behavior during Robot Positive Psychology Interaction,
FG21(01-08)
IEEE DOI 2303
Visualization, Mental health, Linguistics, Feature extraction, Real-time systems, Acoustics, Artificial intelligence BibRef

Lu, Z.D.[Zhen-Dong], Xiao, G.J.[Guo-Jian], Luo, Z.H.[Zi-Hao], Jin, P.[Panji], Li, K.[Kuan], Yin, J.P.[Jian-Ping],
A New RGB-D Gesture Video Dataset for Real-life Scenarios,
FG21(1-5)
IEEE DOI 2303
Human computer interaction, Measurement, Splicing, Lighting, RGB-D BibRef

Chen, G.X.[Guan-Xiong], Yang, H.Y.[Hao-Yu], Mitchell, I.M.[Ian M.],
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI,
CRV22(24-31)
IEEE DOI 2301
Training, Visualization, Protocols, Navigation, Software, Planning, Artificial intelligence, Embodied Visual Agents, Simulation BibRef

Iodice, F.[Francesco], de Momi, E.[Elena], Ajoudani, A.[Arash],
HRI30: An Action Recognition Dataset for Industrial Human-Robot Interaction,
ICPR22(4941-4947)
IEEE DOI 2212
Databases, Machine vision, Collaboration, Human-robot interaction, Training data, Fourth Industrial Revolution BibRef

Sampieri, A.[Alessio], d'Amely-di Melendugno, G.M.[Guido Maria], Avogaro, A.[Andrea], Cunico, F.[Federico], Setti, F.[Francesco], Skenderi, G.[Geri], Cristani, M.[Marco], Galasso, F.[Fabio],
Pose Forecasting in Industrial Human-Robot Collaboration,
ECCV22(XXXVIII:51-69).
Springer DOI 2211
BibRef

James, S.[Stephen], Wada, K.[Kentaro], Laidlow, T.[Tristan], Davison, A.J.[Andrew J.],
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation,
CVPR22(13729-13738)
IEEE DOI 2210
Visualization, Q-learning, Machine vision, Robot vision systems, Task analysis, Robot vision BibRef

Chen, Y.X.[Yi-Xin], Li, Q.[Qing], Kong, D.Q.[De-Qian], Kei, Y.L.[Yik Lun], Zhu, S.C.[Song-Chun], Gao, T.[Tao], Zhu, Y.X.[Yi-Xin], Huang, S.Y.[Si-Yuan],
YouRefIt: Embodied Reference Understanding with Language and Gesture,
ICCV21(1365-1375)
IEEE DOI 2203
Visualization, Human-robot interaction, Benchmark testing, Object recognition, Task analysis, Vision + language, Scene analysis and understanding BibRef

Rozenberszki, D.[Dávid], Sörös, G.[Gábor], Szeier, S.[Szilvia], Lorincz, A.[András],
3D Semantic Label Transfer in Human-Robot Collaboration,
CVinHRC21(2602-2602)
IEEE DOI 2112
Training, Solid modeling, Robot kinematics, Semantics, Pipelines, Training data BibRef

Jhuang, Y.Y.[You-Ying], Tsai, W.J.[Wen-Jiin],
DeepPear: Deep Pose Estimation and Action Recognition,
ICPR21(7119-7125)
IEEE DOI 2105
Training, Surveillance, Pose estimation, Human-robot interaction, Computer architecture, human action recognition BibRef

Guy, S.[Sylvain], Lathuilière, S.[Stéphane], Mesejo, P.[Pablo], Horaud, R.[Radu],
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset,
ICPR21(4851-4856)
IEEE DOI 2105
Voice activity detection, Training, Visualization, Face recognition, Deep architecture, Human-robot interaction, Feature extraction BibRef

Camporese, G.[Guglielmo], Coscia, P.[Pasquale], Furnari, A.[Antonino], Farinella, G.M.[Giovanni Maria], Ballan, L.[Lamberto],
Knowledge Distillation for Action Anticipation via Label Smoothing,
ICPR21(3312-3319)
IEEE DOI 2105
Training, Visualization, Smoothing methods, Uncertainty, Semantics, Human-robot interaction, Predictive models BibRef

Song, Z.Y.[Zi-Yang], Yin, Z.Y.[Zi-Yi], Yuan, Z.J.[Ze-Jian], Zhang, C.[Chong], Chi, W.C.[Wan-Chao], Ling, Y.G.[Yong-Gen], Zhang, S.H.[Sheng-Hao],
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction,
ICPR21(7087-7094)
IEEE DOI 2105
Semantics, Pose estimation, Human-robot interaction, Real-time systems, Skeleton, Mobile robots, Data mining BibRef

Iashin, V.[Vladimir], Palermo, F.[Francesca], Solak, G.[Gökhan], Coppola, C.[Claudio],
Top-1 Corsmal Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-robot Handovers,
CORSMAL20(423-436).
Springer DOI 2103
Code, HRI.
WWW Link. Human-robot object handover. the robot needs to estimate the filling mass of a container held by a human BibRef

Ishikawa, R.[Reina], Nagao, Y.[Yuichi], Hachiuma, R.[Ryo], Saito, H.[Hideo],
Audio-visual Hybrid Approach for Filling Mass Estimation,
CORSMAL20(437-450).
Springer DOI 2103
BibRef

Liu, Q.[Qi], Feng, F.[Fan], Lan, C.[Chuanlin], Chan, R.H.M.[Rosa H. M.],
Va2mass: Towards the Fluid Filling Mass Estimation via Integration of Vision and Audio Learning,
CORSMAL20(451-463).
Springer DOI 2103
BibRef

Song, Z.Y.[Zi-Yang], Yuan, Z.J.[Ze-Jian], Zhang, C.[Chong], Chi, W.C.[Wan-Chao], Ling, Y.G.[Yong-Gen], Zhang, S.H.[Sheng-Hao],
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation,
ACCV20(VI:191-206).
Springer DOI 2103
robots' responses to human actions. BibRef

Nazarczuk, M.[Michal], Mikolajczyk, K.[Krystian],
V2A - Vision to Action: Learning Robotic Arm Actions Based on Vision and Language,
ACCV20(III:721-736).
Springer DOI 2103
BibRef

Maekawa, Y., Akai, N., Hirayama, T., Morales, L.Y., Deguchi, D., Kawanishi, Y., Ide, I., Murase, H.,
An Analysis of How Driver Experience Affects Eye-Gaze Behavior for Robotic Wheelchair Operation,
EPIC19(4443-4451)
IEEE DOI 2004
control engineering computing, driver information systems, gaze tracking, handicapped aids, mobile robots, road safety, field of view BibRef

Hempel, T.[Thorsten], Al-Hamadi, A.[Ayoub],
SLAM-based Multistate Tracking System for Mobile Human-robot Interaction,
ICIAR20(I:368-376).
Springer DOI 2007
BibRef

Azari, B., Lim, A., Vaughan, R.,
Commodifying Pointing in HRI: Simple and Fast Pointing Gesture Detection from RGB-D Images,
CRV19(174-180)
IEEE DOI 1908
Cameras, Reliability, Hidden Markov models, Sensors, Robots, Robotics BibRef

Heidarivincheh, F., Mirmehdi, M., Damen, D.,
Weakly-Supervised Completion Moment Detection using Temporal Attention,
HBU19(1188-1196)
IEEE DOI 2004
human-robot interaction, learning (artificial intelligence), object detection, video signal processing, RGBD-AC dataset, Weak Supervision BibRef

Ivanovic, B., Pavone, M.,
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs,
ICCV19(2375-2384)
IEEE DOI 2004
control engineering computing, graph theory, human-robot interaction, inference mechanisms, Autonomous systems BibRef

Berra, R.[Riccardo], Setti, F.[Francesco], Cristani, M.[Marco],
Gaze-Based Human-Robot Interaction by the Brunswick Model,
CIAP19(II:511-521).
Springer DOI 1909
BibRef

Reardon, C.[Christopher], Lee, K.[Kevin], Rogers III, J.G.[John G.], Fink, J.[Jonathan],
Augmented Reality for Human-Robot Teaming in Field Environments,
VAMR19(II:79-92).
Springer DOI 1909
BibRef

Haring, K.S.[Kerstin S.], Mosley, A.[Ariana], Pruznick, S.[Sarah], Fleming, J.[Julie], Satterfield, K.[Kelly], de Visser, E.J.[Ewart J.], Tossell, C.C.[Chad C.], Funke, G.[Gregory],
Robot Authority in Human-Machine Teams: Effects of Human-Like Appearance on Compliance,
VAMR19(II:63-78).
Springer DOI 1909
BibRef

Szafir, D.[Daniel],
Mediating Human-Robot Interactions with Virtual, Augmented, and Mixed Reality,
VAMR19(II:124-149).
Springer DOI 1909
BibRef

Williams, T.[Tom], Bussing, M.[Matthew], Cabrol, S.[Sebastian], Lau, I.[Ian], Boyle, E.[Elizabeth], Tran, N.[Nhan],
Investigating the Potential Effectiveness of Allocentric Mixed Reality Deictic Gesture,
VAMR19(II:178-198).
Springer DOI 1909
BibRef

Wynne, K.T.[Kevin T.], Lyons, J.B.[Joseph B.],
Autonomous Agent Teammate-Likeness: Scale Development and Validation,
VAMR19(II:199-213).
Springer DOI 1909
BibRef

van de Merwe, D.B.[David B.], van Maanen, L.[Leendert], Ter Haar, F.B.[Frank B.], van Dijk, R.J.E.[Roelof J. E.], Hoeba, N.[Nirul], van der Stap, N.[Nanda],
Human-Robot Interaction During Virtual Reality Mediated Teleoperation: How Environment Information Affects Spatial Task Performance and Operator Situation Awareness,
VAMR19(II:163-177).
Springer DOI 1909
BibRef

Allspaw, J.[Jordan], Heinold, L.[Lilia], Yanco, H.A.[Holly A.],
Design of Virtual Reality for Humanoid Robots with Inspiration from Video Games,
VAMR19(II:3-18).
Springer DOI 1909
BibRef

Manganaro, F.[Fabio], Pini, S.[Stefano], Borghi, G.[Guido], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Hand Gestures for the Human-Car Interaction: The Briareo Dataset,
CIAP19(II:560-571).
Springer DOI 1909
BibRef

Nuzzi, C.[Cristina], Pasinetti, S.[Simone], Pagani, R.[Roberto], Docchio, F.[Franco], Sansoni, G.[Giovanna],
Hand Gesture Recognition for Collaborative Workstations: A Smart Command System Prototype,
NTIAP19(332-342).
Springer DOI 1909
BibRef

Duarte, N.F.[Nuno Ferreira], Rakovic, M.[Mirko], Marques, J.[Jorge], Santos-Victor, J.[José],
Action Alignment from Gaze Cues in Human-Human and Human-Robot Interaction,
AnticipateBeh18(III:197-212).
Springer DOI 1905
BibRef

Teng, E., Iannucci, B.,
Autonomous Curiosity for Real-Time Training Onboard Robotic Agents,
WACV19(1486-1495)
IEEE DOI 1904
computer based training, educational robots, human-robot interaction, object detection, software agents, Space exploration BibRef

Perera, A.G.[Asanka G.], Law, Y.W.[Yee Wei], Chahl, J.[Javaan],
UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition,
CVUAV18(II:117-128).
Springer DOI 1905
BibRef

Raglin, A.[Adrienne], Harrison, A.[Andre], Summers-Stay, D.[Douglass],
Fused Reasoning under Uncertainty for Soldier Centric Human-Agent Decision Making,
Southwest18(1-4)
IEEE DOI 1809
Cognition, Uncertainty, Object recognition, Decision making, Horses, Dogs, Heuristic algorithms, uncertainty, decision making, saliency BibRef

Schaefer, K.E.[Kristin E.], Perelman, B.S.[Brandon S.], Brewer, R.W.[Ralph W.], Wright, J.L.[Julia L.], Roy, N.[Nicholas], Aksaray, D.[Derya],
Quantifying Human Decision-Making: Implications for Bidirectional Communication in Human-Robot Teams,
VAMR18(I: 361-379).
Springer DOI 1807
BibRef

Cabrera, M.E., Sanchez-Tamayo, N., Voyles, R., Wachs, J.P.,
One-Shot Gesture Recognition: One Step Towards Adaptive Learning,
FG17(784-789)
IEEE DOI 1707
Gesture recognition, Kinematics, Measurement, Production, Robots, Training, Trajectory BibRef

Zhu, T.H.[Te-Hao], Zhao, Q.F.[Qun-Fei], Xiong, J.[Jing],
A Body Emotion-Based Human-Robot Interaction,
CVS17(268-278).
Springer DOI 1711
BibRef

Chen, B.[Bo], Hua, C.S.[Chun-Sheng], Han, J.[Jianda], He, Y.Q.[Yu-Qing],
A Novel Real-Time Gesture Recognition Algorithm for Human-Robot Interaction on the UAV,
CVS17(518-526).
Springer DOI 1711
BibRef

Kryuchkov, B.I., Usov, V.M., Chertopolokhov, V.A., Ronzhin, A.L., Karpov, A.A.,
Simulation of the 'cosmonaut-robot' System Interaction On the Lunar Surface Based On Methods of Machine Vision And Computer Graphics,
PTVSBB17(129-133).
DOI Link 1805
BibRef

Shukla, D., Erkent, Ö., Piater, J.,
Supervised Learning of Gesture-Action Associations for Human-Robot Collaboration,
FG17(778-783)
IEEE DOI 1707
Collaboration, Handover, Legged locomotion, Robot kinematics, Supervised, learning BibRef

Williams, H., Naqvi, S.S., Browne, W.N., Hollitt, C.,
Introduction of a human based attention model for robotic navigation,
ICVNZ15(1-6)
IEEE DOI 1701
human-robot interaction BibRef

Fabbri, C., Sattar, J.,
SmartTalk: A Learning-Based Framework for Natural Human-Robot Interaction,
CRV16(376-382)
IEEE DOI 1612
HRI BibRef

Christ, P.F.[Patrick Ferdinand], Lachner, F.[Florian], Hösl, A.[Axel], Menze, B.[Bjoern], Diepold, K.[Klaus], Butz, A.[Andreas],
Human-Drone-Interaction: A Case Study to Investigate the Relation Between Autonomy and User Experience,
ACVR16(II: 238-253).
Springer DOI 1611
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Guler, A.[Alp], Kardaris, N.[Nikolaos], Chandra, S.[Siddhartha], Pitsikalis, V.[Vassilis], Werner, C.[Christian], Hauer, K.[Klaus], Tzafestas, C.[Costas], Maragos, P.[Petros], Kokkinos, I.[Iasonas],
Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision,
ACVR16(II: 415-431).
Springer DOI 1611
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Rodomagoulakis, I., Kardaris, N., Pitsikalis, V., Arvanitakis, A., Maragos, P.,
A multimedia gesture dataset for human robot communication: Acquisition, tools and recognition results,
ICIP16(3066-3070)
IEEE DOI 1610
Cameras BibRef

Shukla, D.[Dadhichi], Erkent, Ö.[Özgür], Piater, J.[Justus],
Probabilistic Detection of Pointing Directions for Human-Robot Interaction,
DICTA15(1-8)
IEEE DOI 1603
BibRef
And:
General Object Tip Detection and Pose Estimation for Robot Manipulation,
CVS15(364-374).
Springer DOI 1507
gesture recognition BibRef

Chandra, S.[Siddhartha], Usunier, N.[Nicolas], Kokkinos, I.[Iasonas],
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings,
ICCV17(5113-5122)
IEEE DOI 1802
Gaussian processes, computational complexity, gradient methods, graph theory, image capture, image segmentation, Training BibRef

Chandra, S.[Siddhartha], Kokkinos, I.[Iasonas],
Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs,
ECCV16(VII: 402-418).
Springer DOI 1611
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Chandra, S., Tsogkas, S., Kokkinos, I.,
Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots,
ACVR15(436-442)
IEEE DOI 1602
Head; Image segmentation; Robots; Semantics; Testing; Training; Videos BibRef

Rueben, M.[Matthew], Smart, W.D.[William D.],
Shared Autonomy Perception and Manipulation of Physical Device Controls,
ISVC15(II: 830-841).
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Robot controlling old style controls (buttons). BibRef

Nakhaeinia, D.[Danial], Laferriere, P.[Pascal], Payeur, P.[Pierre], Laganiere, R.[Robert],
Safe Close-Proximity and Physical Human-Robot Interaction Using Industrial Robots,
CRV15(237-244)
IEEE DOI 1507
Distance measurement BibRef

Ueno, S.[Satoshi], Naito, S.[Sei], Chen, T.H.[Tsu-Han],
An efficient method for human pointing estimation for robot interaction,
ICIP14(1545-1549)
IEEE DOI 1502
Accuracy BibRef

Chang, O.[Oscar],
A Bio-Inspired Robot with Visual Perception of Affordances,
Affordance14(420-426).
Springer DOI 1504
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Duncan, K.[Kester], Sarkar, S.[Sudeep], Alqasemi, R.[Redwan], Dubey, R.[Rajiv],
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ACVR14(730-745).
Springer DOI 1504
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Michel, D.[Damien], Papoutsakis, K.[Konstantinos], Argyros, A.A.[Antonis A.],
Gesture Recognition Supporting the Interaction of Humans with Socially Assistive Robots,
ISVC14(I: 793-804).
Springer DOI 1501
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Chen, L.[Lei], Dong, Z.[Zhen], Gao, S.[Sheng], Yuan, B.F.[Bao-Feng], Pei, M.T.[Ming-Tao],
Stereovision-Only Based Interactive Mobile Robot for Human-Robot Face-to-Face Interaction,
ICPR14(1840-1845)
IEEE DOI 1412
Detectors BibRef

El-Barkouky, A.[Ahmed], Mahmoud, A.[Ali], Graham, J.[James], Farag, A.A.[Aly A.],
An interactive educational drawing system using a humanoid robot and light polarization,
ICIP13(3407-3411)
IEEE DOI 1402
Educational; NAO; Polarization BibRef

Somani, N.[Nikhil], Cai, C.X.[Cai-Xia], Perzylo, A.[Alexander], Rickert, M.[Markus], Knoll, A.[Alois],
Object Recognition Using Constraints from Primitive Shape Matching,
ISVC14(I: 783-792).
Springer DOI 1501
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Somani, N.[Nikhil], Dean-León, E.[Emmanuel], Cai, C.X.[Cai-Xia], Knoll, A.[Alois],
Scene Perception and Recognition in Industrial Environments for Human-Robot Interaction,
ISVC13(I:373-384).
Springer DOI 1310
BibRef
And:
Scene Perception and Recognition for Human-Robot Co-operation,
ACVR13(50-59).
Springer DOI 1309
BibRef

Grzejszczak, T.[Tomasz], Mikulski, M.[Michal], Szkodny, T.[Tadeusz], Jedrasiak, K.[Karol],
Gesture Based Robot Control,
ICCVG12(407-413).
Springer DOI 1210
BibRef

Fujita, T.,
Hand movement detection using monocular camera for robot cooperation,
ICARCV08(2188-2191).
IEEE DOI 1109
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Diaz, M.[Marta], Nuno, N.[Neus], Saez-Pons, J.[Joan], Pardo, D.E.[Diego E.], Angulo, C.[Cecilio],
Building up child-robot relationship for therapeutic purposes: From initial attraction towards long-term social engagement,
FG11(927-932).
IEEE DOI 1103
BibRef

Gyoda, M.[Masahiko], Tabata, T.[Tomoya], Kobayashi, Y.[Yoshinori], Kuno, Y.[Yoshinori],
Mobile care robot accepting requests through nonverbal interaction,
FCV11(1-5).
IEEE DOI 1102
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Fransen, B.R.[Benjamin R.], Lawson, W.E.[Wallace E.], Bugajska, M.D.[Magdalena D.],
Integrating vision for human-robot interaction,
CVforHRI10(9-16).
IEEE DOI 1006
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Li, Z.[Zhi], Jarvis, R.,
Visual interpretation of natural pointing gestures in 3D space for human-robot interaction,
ICARCV10(2513-2518).
IEEE DOI 1109
BibRef

Kjellström, H.[Hedvig], Romero, J.[Javier], Martínez, D.[David], Kragic, D.[Danica],
Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects,
ECCV08(II: 336-349).
Springer DOI 0810
E.g. robot learns task by watching. BibRef

Ghobadi, S.E.[Seyed Eghbal], Loepprich, O.E.[Omar Edmond], Ahmadov, F.[Farid], Bernshausen, J.[Jens], Hartmann, K.[Klaus], Loffeld, O.[Otmar],
Real Time Hand Based Robot Control Using 2D/3D Images,
ISVC08(II: 307-316).
Springer DOI 0812
BibRef

Burger, B.[Brice], Ferrané, I.[Isabelle], Lerasle, F.[Frédéric],
Multimodal Interaction Abilities for a Robot Companion,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Ziaie, P.[Pujan], Muller, T.[Thomas], Knoll, A.[Alois],
A Novel Approach to Hand-Gesture Recognition in a Human-Robot Dialog System,
IPTA08(1-8).
IEEE DOI 0811
BibRef

Lee, S.W.[Seong-Whan],
Automatic Gesture Recognition for Intelligent Human-Robot Interaction,
FGR06(645-650).
IEEE DOI 0604
BibRef

Yang, H.D.[Hee-Deok], Park, A.Y.[A-Yeon], Lee, S.W.[Seong-Whan],
Human-Robot Interaction by Whole Body Gesture Spotting and Recognition,
ICPR06(IV: 774-777).
IEEE DOI 0609
BibRef
And:
Robust Spotting of Key Gestures from Whole Body Motion Sequence,
FGR06(231-236).
IEEE DOI 0604
BibRef

Park, H.S.[Hye Sun], Kim, E.Y.[Eun Yi], Jang, S.S.[Sang Su], Park, S.H.[Se Hyun], Park, M.H.[Min Ho], Kim, H.J.[Hang Joon],
HMM-Based Gesture Recognition for Robot Control,
IbPRIA05(I:607).
Springer DOI 0509
BibRef

Antón-Canalís, L.[Luis], Sánchez-Nielsen, E.[Elena], Castrillón-Santana, M.[Modesto],
Fast and Accurate Hand Pose Detection for Human-Robot Interaction,
IbPRIA05(I:553).
Springer DOI 0509
BibRef

Deniz-Suarez, O., Falcon, A., Mendez, J., Castrillon-Santana, M.,
Useful Computer Vision Techniques for Human-Robot Interaction,
ICIAR04(II: 725-732).
Springer DOI 0409
BibRef

Hasanuzzaman, M., Zhang, T.[Tao], Ampornaramveth, V., Bhuiyan, M.A., Shirai, Y.[Yoshiaki], Ueno, H.,
Gesture Recognition for Human-Robot Interaction Through a Knowledge Based Software Platform,
ICIAR04(I: 530-537).
Springer DOI 0409
BibRef

Huang, X.[Xiao], Weng, J.Y.[Ju-Yang],
Motivational System for Human-Robot Interaction,
CVHCI04(17-27).
Springer DOI 0505
BibRef

Paquin, V.[Vincent], Cohen, P.[Paul],
A Vision-Based Gestural Guidance Interface for Mobile Robotic Platforms,
CVHCI04(39-47).
Springer DOI 0505
BibRef

Boehme, H.J.[Hans-Joachim], Braumann, U.D.[Ulf-Dietrich], Corradini, A.[Andrea], Gross, H.M.[Horst-Michael],
Person Localization and Posture Recognition for Human-Robot Interaction,
GW99(117).
Springer DOI 9903
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Earlier: A3, A2, A1, A4:
Contour-based Person Localizaion by 3d Neural Fields and Steerable Filters,
MVA98(xx-yy). BibRef

Boehme, H.J.[Hans-Joachim], Braumann, U.D.[Ulf-Dietrich], Brakensiek, A., Corradini, A.[Andrea], Krabbes, M., Gross, H.M.[Horst-Michael],
User Localisation for Visually-Based Human-Machine-Interaction,
AFGR98(486-491).
IEEE DOI BibRef 9800

Kahn, R.E.[Roger E.], Swain, M.J.[Michael J.], Prokopowicz, P.N.[Peter N.], and Firby, R.J.[R. James],
Gesture Recognition Using Perseus Architecture,
CVPR96(734-741).
IEEE DOI BibRef 9600

Kahn, R.E., Swain, M.J.,
Understanding People Pointing: The Perseus System,
SCV95(569-574).
IEEE DOI University of Chicago. Point at an object, the robot goes to it. BibRef 9500

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Gesture Systems, Surfaces, Desks, Tables, Objects .