The DOI matches its Crossref record; 114 of the 115 references it cites were found in a registry or an index.
Human – robot interaction review and challenges on task planning and programming
Abstract
The wide interest of research and industry in the human–robot interaction (HRI) related topics is proportional to the increased productivity and flexibility of the production lines, as it combines human and robot capabilities. This paper presents a review of recent research and progress on HRI, related to task planning/coordination and programming with emphasis on the manufacturing/production environment. Human–robot task allocation and scheduling, metrics for HRI, as well as the social aspects are reviewed. The role of digital human modelling systems for human–robot task planning related issues is also discussed. The process of learning by demonstration as well as the instructive systems is reviewed, focussing mainly on programming through visual guidance and imitation, voice commands and haptic interaction. The aspect of physical HRI as well as the safety related issues are also discussed. Additionally, a survey on multimodal communication frameworks is presented. Challenges encountered and directions for future research are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
LaValle, S. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511546877 · Cited by 4,167
Vision-based hand pose estimation: A review
Erol, A., Bebis, G. N., Nicolescu, M., Boyle, R. D., & Twombly, X. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.10.012 · Cited by 866
Cooperation of human and machines in assembly lines
Krüger, J., Lien, T. K., & Verl, A. W. (2009) · CIRP Annals · doi:10.1016/j.cirp.2009.09.009 · Cited by 846
An atlas of physical human–robot interaction
Santis, A. D., Siciliano, B., Luca, A. D., & Bicchi, A. (2007) · Mechanism and Machine Theory · doi:10.1016/j.mechmachtheory.2007.03.003 · Cited by 825
Common metrics for human-robot interaction
Steinfeld, A. M., Fong, T., KABER, D. B., Lewis, M., Scholtz, J. C., Schultz, A. C., & Goodrich, M. A. (2006) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/1121241.1121249 · Cited by 771
Human-aware robot navigation: A survey
Kruse, T., Pandey, A. K., Alami, R., & Kirsch, A. (2013) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2013.05.007 · Cited by 750
Parasuraman, R., Sheridan, T., & Wickens, C. (2008) · Journal of Cognitive Engineering and Decision Making · doi:10.1518/155534308x284417 · Cited by 729
Review Article Tactile sensing for mechatronics—a state of the art survey
Lee, M. H., & Nicholls, H. R. (1999) · Mechatronics · doi:10.1016/s0957-4158(98)00045-2 · Cited by 711
Dual arm manipulation—A survey
Smith, C., Karayiannidis, Y., Nalpantidis, L., Gratal, X., Qi, P., Dimarogonas, D. V., & Kragić, D. (2012) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2012.07.005 · Cited by 562
A New Actuation Approach for Human Friendly Robot Design
Zinn, M., Roth, B., Khatib, O., & Salisbury, J. K. (2004) · The International Journal of Robotics Research · doi:10.1177/0278364904042193 · Cited by 441
Theory and evaluation of human robot interactions
Scholtz, J. (2003) · 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the · doi:10.1109/hicss.2003.1174284 · Cited by 428
The occupational ergonomics handbook
Karwowski, W., & Marras, W. S. (2006) · Cited by 396
Classifying human-robot interaction: an updated taxonomy
Yanco, H. A., & Drury, J. L. (2005) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2004.1400763 · Cited by 385
Peshkin, M. A., Colgate, J. E., Wannasuphoprasit, W., Moore, C. A., Gillespie, R. B., & Akella, P. N. (2001) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.954751 · Cited by 373
Simulation in Manufacturing: Review and Challenges
Mourtzis, D., Doukas, M., & Bernidaki, D. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.10.032 · Cited by 359
Digital manufacturing: History, perspectives, and outlook
Chryssolouris, G., Mavrikios, D., Papakostas, N., Mourtzis, D., Michalos, G., & Georgoulias, K. (2009) · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · doi:10.1243/09544054jem1241 · Cited by 326
Self-citationA Gesture Based Interface for Human-Robot Interaction
Waldherr, S., Romero, R. A. F., & Thrun, S. (2000) · Autonomous Robots · doi:10.1023/a:1008918401478 · Cited by 320
Teaching and learning of robot tasks via observation of human performance
Dillmann, R. (2004) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2004.03.005 · Cited by 303
Robot task planning using semantic maps
Galindo, C., Fernández‐Madrigal, J., González, J., & Saffiotti, A. (2008) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2008.08.007 · Cited by 292
Collaboration, Dialogue, Human-Robot Interaction
Fong, T., Thorpe, C., & Baur, C. (2007) · Springer eBooks · doi:10.1007/3-540-36460-9_17 · Cited by 278
Analyzing the Effects of Human-Aware Motion Planning on Close-Proximity Human–Robot Collaboration
Lasota, P. A., & Shah, J. (2015) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814565188 · Cited by 273
Development and evaluation of interactive humanoid robots
Kanda, T., Ishiguro, H., Imai, M., & Ono, T. (2004) · Proceedings of the IEEE · doi:10.1109/jproc.2004.835359 · Cited by 266
Awareness in human-robot interactions
Drury, J. L., Scholtz, J. C., & Yanco, H. A. (2004) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2003.1243931 · Cited by 266
Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams
Gombolay, M., Gutierrez, R. A., Clarke, S. G., Sturla, G. F., & Shah, J. (2015) · Autonomous Robots · doi:10.1007/s10514-015-9457-9 · Cited by 258
Integrated control for pHRI: Collision avoidance, detection, reaction and collaboration
Luca, A. D., & Flacco, F. (2012) · 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2012.6290917 · Cited by 258
Assessment of operator stress induced by robot collaboration in assembly
Arai, T., Kato, R., & Fujita, M. (2010) · CIRP Annals · doi:10.1016/j.cirp.2010.03.043 · Cited by 256
RESULTS OF SCREENING COLONOSCOPY AMONG PERSONS 40 TO 49 YEARS OF AGE
Mperiale, T. H. F. I., Agner, D. A. R. W., In, H. Y. L., Arkin, N. L., Ogge, J. A. D. R., & Ansohoff, D. A. F. R. (2002) · Cited by 256
Metrics for Evaluating Human-Robot Interactions
Goodrich, M. A., & Olsen, D. R. (2003) · ScholarsArchive (Brigham Young University) · Cited by 244
Productivity and age: Evidence from work teams at the assembly line
Borsch-Supan, A. H., & Weiss, M. (2016) · The Journal of the Economics of Ageing · doi:10.1016/j.jeoa.2015.12.001 · Cited by 233
Improving digital human modelling for proactive ergonomics in design
Chaffin, D. B. (2005) · Ergonomics · doi:10.1080/00140130400029191 · Cited by 219
Human-robot interaction and future industrial robotics applications
Heyer, C. (2010) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2010.5651294 · Cited by 203
Force/tactile sensor for robotic applications
Maria, G. D., Natale, C., & Pirozzi, S. (2011) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2011.12.042 · Cited by 203
Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics
Callaos, N., Breda, A., & Fernández, J. (2002) · Cited by 165
A Survey of Robot Programming Systems
Biggs, G. (2010) · Cited by 162
Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots
Asfour, T., Gyarfas, F., Azad, P., & Dillmann, R. (2006) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/ichr.2006.321361 · Cited by 157
Vakanski, A., Mantegh, I., Irish, A. T., & Janabi‐Sharifi, F. (2012) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2012.2185694 · Cited by 157
Fast tracking of hands and fingertips in infrared images for augmented desk interface
Sato, Y., KOBAYASHI, Y., & Koike, H. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2000.840675 · Cited by 143
Gestures for industry Intuitive human-robot communication from human observation
Gleeson, B. T., MacLean, K. E., Haddadi, A., Croft, E. A., & Alcazar, J. A. (2013) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2013.6483609 · Cited by 142
Cobots for the automobile assembly line
Akella, P., Peshkin, M., Colgate, E., Wannasuphoprasit, W., Nagesh, N., Wells, J., Holland, S., Pearson, T., & Peacock, B. (2003) · Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C) · doi:10.1109/robot.1999.770061 · Cited by 139
Programming by demonstration: dual-arm manipulation tasks for humanoid robots
Zöllner, R., Asfour, T., & Dillmann, R. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2004.1389398 · Cited by 129
Robot‐by‐voice: experiments on commanding an industrial robot using the human voice
Pires, J. N. (2005) · Industrial Robot the international journal of robotics research and application · doi:10.1108/01439910510629244 · Cited by 128
Real-time safety for human–robot interaction
Kulić, D., & Croft, E. A. (2005) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2005.10.005 · Cited by 113
Safe Human-Robot Cooperation in an Industrial Environment
Pedrocchi, N., Vicentini, F., Malosio, M., & Tosatti, L. M. (2013) · International Journal of Advanced Robotic Systems · doi:10.5772/53939 · Cited by 112
Hand Gesture Recognition Research Based on Surface EMG Sensors and 2D-accelerometers
Chen, X. '., Zhang, X., Zhao, Z., Yang, J., Lantz, V., & Wang, K. (2007) · Proceedings · doi:10.1109/iswc.2007.4373769 · Cited by 111
Stochastic gesture production and recognition model for a humanoid robot
Calinon, S., & Billard, A. G. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2004.1389828 · Cited by 108
Reinforcement learning of clothing assistance with a dual-arm robot
Tamei, T., Matsubara, T., Rai, A., & Shibata, T. (2011) · 2011 11th IEEE-RAS International Conference on Humanoid Robots · doi:10.1109/humanoids.2011.6100915 · Cited by 103
Human and robot allocation method for hybrid assembly systems
Takata, S., & Hirano, T. (2011) · CIRP Annals · doi:10.1016/j.cirp.2011.03.128 · Cited by 100
A new cell production assembly system with human–robot cooperation
Morioka, M., & Sakakibara, S. (2010) · CIRP Annals · doi:10.1016/j.cirp.2010.03.044 · Cited by 100
Force controlled robotic assembly without a force sensor
Stolt, A., Linderoth, M., Robertsson, A., & Johansson, R. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6224837 · Cited by 100
Intuitive dual arm robot programming for assembly operations
Makris, S., Tsarouchi, P., Šurdilović, D., & Krüger, J. (2014) · CIRP Annals · doi:10.1016/j.cirp.2014.03.017 · Cited by 99
Self-citationZaeh, M. F., Beetz, M., Shea, K., Reinhart, G., Bender, K., Lau, C., Ostgathe, M., Vogl, W. F., Wiesbeck, M., Engelhard, M., et al. (2008) · Springer series in advanced manufacturing · doi:10.1007/978-1-84882-067-8_20 · Cited by 90
Task planning for human-robot interaction
Alami, R., Clodic, A., Montreuil, V., Sisbot, E. A., & Chatila, R. (2005) · doi:10.1145/1107548.1107574 · Cited by 88
KI 2007: Advances in Artificial Intelligence
Hertzberg, J., Englert, R., & Beetz, M. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74565-5 · Cited by 87
An intelligent search algorithm-based method to derive assembly line design alternatives
Michalos, G., Makris, S., & Mourtzis, D. (2011) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2011.627949 · Cited by 81
Self-citationGestures for industry: intuitive human-robot communication from human observationPreprint
Gleeson, B. T., MacLean, K. E., Haddadi, A., et al. (2013) · doi:10.5555/2447556.2447679 · Cited by 81
A new digital human environment and assessment of vehicle interior design
Yang, J., Kim, J. H., Abdel-Malek, K. A., Marler, T., Beck, S., & Kopp, G. R. (2007) · Computer-Aided Design · doi:10.1016/j.cad.2006.11.007 · Cited by 77
Real-time and continuous hand gesture spotting: An approach based on artificial neural networks
Neto, P., Pereira, D., Pires, J. N., & Moreira, A. P. (2013) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2013.6630573 · Cited by 74
Survey of metrics for human-robot interaction
Murphy, R. R., & Schreckenghost, D. L. (2013) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2013.6483569 · Cited by 72
Neto, P., Pires, J. N., & Moreira, A. P. (2010) · Industrial Robot the international journal of robotics research and application · doi:10.1108/01439911011018911 · Cited by 70
Neto, P., Pires, J. N., & Moreira, A. P. (2010) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · Cited by 70
Kick it with elasticity: Safety and performance in human–robot soccer
Haddadin, S., Laue, T., Frese, U., Wolf, S., Albu‐Schäffer, A., & Hirzinger, G. (2009) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2009.03.004 · Cited by 68
Intelligent Assist Systems for Flexible Assembly
Krüger, J., Bernhardt, R., Šurdilović, D., & Spur, G. (2006) · CIRP Annals · doi:10.1016/s0007-8506(07)60359-x · Cited by 61
Planning human centered robot activities
Montreuil, V., Clodic, A., Ransan, M., & Alami, R. (2007) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2007.4413992 · Cited by 52
Gesture recognition using laser-based tracking system
Perrin, S., Cassinelli, Á., & Ishikawa, M. (2004) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2004.1301589 · Cited by 51
Robust control of force-coupled human–robot-interaction in assembly processes
Krüger, J., & Šurdilović, D. (2008) · CIRP Annals · doi:10.1016/j.cirp.2008.03.005 · Cited by 50
New Approach for Static Gesture Recognition
Chang, C. C., Chen, J., Tai, W., & Han, C. (2006) · doi:10.6688/jise.2006.22.5.4 · Cited by 49
COSA ? A generic cognitive system architecture based on a cognitive model of human behavior
Putzer, H. J., & Onken, R. (2003) · Cognition Technology & Work · doi:10.1007/s10111-003-0120-4 · Cited by 47
ErgoToolkit: an ergonomic analysis tool in a virtual manufacturing environment
Alexopoulos, K., Mavrikios, D., & Chryssolouris, G. (2012) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2012.731610 · Cited by 47
Self-citationDirectly or on detours? How should industrial robots approximate humans?
Bortot, D., Born, M., & Bengler, K. J. (2013) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2013.6483515 · Cited by 46
Evaluation Methods for Human-System Performance of Intelligent Systems
Scholtz, J. C. (2002) · Cited by 45
Mavrikios, D., Karabatsou, V., Παππάς, Μ., & Chryssolouris, G. (2006) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2006.05.009 · Cited by 43
Self-citationA skill-based approach towards hybrid assembly
Wallhoff, F., Blume, J., Bannat, A., Rösel, W., Lenz, C., & Knoll, A. (2010) · Advanced Engineering Informatics · doi:10.1016/j.aei.2010.05.013 · Cited by 42
Design guidelines for improved human-robot interaction
Drury, J. L., Hestand, D., Yanco, H. A., & Scholtz, J. C. (2004) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/985921.986116 · Cited by 41
A Multimodal Human-Robot-Interaction Scenario: Working Together with an Industrial Robot
Bannat, A., Gast, J., Rehrl, T., Rösel, W., Rigoll, G., & Wallhoff, F. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02577-8_33 · Cited by 40
A framework to develop an analysis agent for evaluating human performance in manufacturing systems
Shahrokhi, M., & Bernard, A. L. (2009) · CIRP journal of manufacturing science and technology · doi:10.1016/j.cirpj.2009.08.002 · Cited by 37
Robonaut: the 'short list' of technology hurdles
Rehnmark, F., Bluethmann, W. J., Mehling, J. S., Ambrose, R. O., Diftler, M. A., Chu, M. W., & Necessary, R. (2005) · Computer · doi:10.1109/mc.2005.32 · Cited by 36
Communication and knowledge sharing in human–robot interaction and learning from demonstration
Koenig, N. P., Takayama, L. A., & Matarić, M. J. (2010) · Neural Networks · doi:10.1016/j.neunet.2010.06.005 · Cited by 36
Force controlled assembly of emergency stop button
Stolt, A., Linderoth, M., Robertsson, A., & Johansson, R. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5979745 · Cited by 35
Planning of proactive behaviors for human–robot cooperative tasks under uncertainty
Kwon, W. Y., & Suh, I. H. (2014) · Knowledge-Based Systems · doi:10.1016/j.knosys.2014.08.021 · Cited by 34
Human Weaknesses and strengths in collaboration with robots
Ogorodnikova, O. (2008) · Periodica Polytechnica Mechanical Engineering · doi:10.3311/pp.me.2008-1.05 · Cited by 33
Online touch behavior recognition of hard-cover robot using temporal decision tree classifier
Koo, S., Lim, J. G., & Kwon, D. (2008) · IEEE RO-MAN · doi:10.1109/roman.2008.4600703 · Cited by 33
Cognitive Engineering of Automated Assembly Processes
Mayer, M. P., Odenthal, B., Faber, M., Winkelholz, C., & Schlick, C. M. (2012) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20390 · Cited by 32
Visual servoing for dual arm motions on a humanoid robot
Vahrenkamp, N., Böge, C., Welke, K., Asfour, T., Walter, J., & Dillmann, R. (2009) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/ichr.2009.5379577 · Cited by 32
Position teaching of a robot arm by demonstration with a wearable input device
Aleotti, J., Skoglund, A., & Duckett, T. (2004) · Cited by 31
Workforce Aging in Production Systems: Modeling and Performance Evaluation
Boenzi, F., Mossa, G., Mummolo, G., & Romano, V. A. (2015) · Procedia Engineering · doi:10.1016/j.proeng.2015.01.473 · Cited by 30
Towards generalized performance metrics for human-robot interaction
Saleh, J. A., & Karray, F. O. (2010) · Autonomous and Intelligent Systems · doi:10.1109/ais.2010.5547049 · Cited by 30
Planning and Plan-execution for Human-Robot Cooperative Task achievement
Alili, S., Warnier, M., Ali, M., & Alami, R. (2009) · Cited by 30
An approach for allocating manufacturing resources to production tasks
Chryssolouris, G., Pierce, J. E., & Dicke, K. (1991) · Journal of Manufacturing Systems · doi:10.1016/0278-6125(91)90055-7 · Cited by 29
Self-citationIntegrating task planning and interactive learning for robots to work in human environments
Agostini, A., Torras, C., & Wörgötter, F. (2011) · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · Cited by 29
Pick‐and‐place application development using voice and visual commands
van Delden, S., Umrysh, M. A., Rosario, C., & Hess, G. (2012) · Industrial Robot the international journal of robotics research and application · doi:10.1108/01439911211268796 · Cited by 27
Directly or on detours?: how should industrial robots approximate humans?
Bortot, D., Born, M., & Bengler, K. J. (2013) · doi:10.5555/2447556.2447581 · Cited by 25
Assembly strategy modeling and selection for human and robot coordinated cell assembly
Chen, F., Sekiyama, K., Sasaki, H., Huang, J., Sun, B., & Fukuda, T. (2011) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2011.6094715 · Cited by 25
A Survey of Quantitative Team Performance Metrics For Human-Robot Collaboration
Singer, S. M., & Akin, D. L. (2011) · International Conference on Environmental Systems (ICES) · doi:10.2514/6.2011-5248 · Cited by 24
Touch: The direct type of human interaction with a redundant service robot
Grunwald, G., Schreiber, G., Albu‐Schäffer, A., & Hirzinger, G. (2002) · IEEE RO-MAN · doi:10.1109/roman.2001.981928 · Cited by 23
Robot behavior engineering using DD-Designer
Bredenfeld, A., & Indiveri, G. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2001.932554 · Cited by 22
Dynamic gesture vocabulary design for intuitive human-robot dialog
Bodiroža, S., Stern, H. I., & Edan, Y. (2012) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/2157689.2157710 · Cited by 19
Optimization of Multi-Agent Workflow for Human-Robot Collaboration in Assembly Manufacturing
Wilcox, R., & Shah, J. (2012) · AIAA Infotech@Aerospace Conference · doi:10.2514/6.2012-2535 · Cited by 19
Onda, H., Suehiro, T., & KITAGAKI, K. (2003) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/irds.2002.1041739 · Cited by 17
The roles of humans and computers in distributed planning for dynamic domains
Shalin, V. L. (2005) · Cognition Technology & Work · doi:10.1007/s10111-005-0186-2 · Cited by 17
Motion capture from demonstrator's viewpoint and its application to robot teaching
Yokokohji, Y., Kitaoka, Y., & Yoshikawa, T. (2003) · Journal of Robotic Systems · doi:10.1002/rob.20050 · Cited by 14
A general framework for incremental processing of multimodal inputs
Ameri, A., Akan, B., Çürüklü, B., & Asplund, L. (2011) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2070481.2070521 · Cited by 12
A real‐time vision‐based interface using Motion Processor and applications to robotics
Mihara, I., Yamauchi, Y., & Doi, M. (2003) · Systems and Computers in Japan · doi:10.1002/scj.10203 · Cited by 12
Chryssolouris, G., Mavrikios, D., & Παππάς, Μ. (2008) · Springer eBooks · doi:10.1007/978-3-540-78431-9_5 · Cited by 11
Self-citationHuman and automation: a matter of cooperation.
Hoc, J. (2007) · HAL · Cited by 11
A multisensor system for observation of user actions in programming by demonstration
Ehrenmann, M., Steinhaus, P., & Dillmann, R. (2003) · doi:10.1109/mfi.1999.815981 · Cited by 11
Zuo, X., Iwahashi, N., Taguchi, R., Matsuda, S., Sugiura, K., Funakoshi, K., Nakano, M., & Oka, N. (2010) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2010.5494889 · Cited by 10
Single robot – Multiple human interaction via intelligent user interfaces
Kumar, S. S., & Sekmen, A. (2008) · Knowledge-Based Systems · doi:10.1016/j.knosys.2008.03.008 · Cited by 9
Human Robot Interaction Solutions for Intuitive Industrial Robot Programming
Akan, B. (2012) · Cited by 7
A cooperative robotic system based on multiple sensors to construct metallic structures
Gil, P., Pomares, J., Méndez, S. T. P., Candelas-Herías, F. A., Garcia, G. J., Ramón, J. A. C., & Torres, F. (2009) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-009-1997-8 · Cited by 7
The Robot Voice-control System with Interactive Learning
Holada, M., & Pelc, M. (2008) · InTech eBooks · doi:10.5772/6284 · Cited by 5
Voice control for noisy industrial environments
Bartholomew, J. C., & Miller, G. E. (1988) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.1988.95354 · Cited by 4
Cooperative Dual Arm with Vision Guidance
Charoenseang, S., & Chaisongkhram, S. (2013) · International Journal of Engineering and Technology · doi:10.7763/ijet.2013.v5.534 · Cited by 3
Learning by Observation through System Identification
Nehmzow, U., Akanyeti, O., Weinrich, C., Kyriacou, T., & Billings, S. A. (2007) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 2
An approach for allocating manufacturing resources to production tasks
(1993) · Journal of Manufacturing Systems · doi:10.1016/0278-6125(93)90251-n · Cited by 1
Research works printed but not linked: 23
- Agostini A., 2011, Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, 2386
- Alami R., 2006, AAAI Spring Symposium ‘To Boldly Go Where No Human-Robot Team Has Gone Before’, 39
- Aleotti J., 2004, International Conference on Intelligent Manipulation and Grasping, Genoa
- Alili S., 2009, 19th International Conference on Automated Planning and Scheduling
- Batu A., 2008, 39th International Symposium on Robotics, 66–69, Seoul, October 15
- Bischoff R., 2010, The Robotics (ISR), 41st International Symposium on and 2010 6th German Conference on Robotics (ROBOTIK), June 7–9. Munich: VDE
- 10.1109/ROBOT.2001.932554 · DOI
- Chang C., 2006, Journal of Information Science and Engineering, 22, 1047
- Chryssolouris G., 2003, CIRP Journal of Manufacturing Science and Technology, 32, 13
- EASHW (European Agency for Safety and Health at Work), 2012, “Promoting Active Ageing in the Workplace.”
- European Commission, 2012, EU Employment and Social Situation. Quarterly Report
- Gombolay M. C., 2013, Robotics: Science and Systems, Human-Robot Collaboration Workshop
- Hoc J., 2007, Human 07, 2007, 277
- Hollmann R., 2008, Proceedings of the 39th International Symposium on Robotics, 14
- ISO 10218-1:2011, Robots for Industrial Environments – Safety Requirements – Part 1: Robot
- Moes N., 2010, In The Proceedings of TMCE 2010 Symposium, edited by I. Horvath, F. Mandorli and Z. Rusak. Ancona, April 12–16
- Moniz A., 2013, IEEE-RAS-IARP Joint Workshop on Technical Challenges 1205 for Dependable Robots in Human Environment, IROS2013 WS, Tokyo Big Sight, November.
- Nehmzow U., 2007, Proceedings of Towards Autonomous Robotic Systems (TAROS)
- 10.1108/01439911011018911 · DOI
- Olsen D. R., 2003, Proceedings of PERMIS
- Scholtz J., 2002, Proceedings of the 2002 Performance Metrics for Intelligent Systems (PerMIS) Workshop, Gaithersburg, MD, August 13–15
- Shahrokhi M., 2006, Proceedings of Ergo'IA 2006, 353–356, Biarritz, October 11–13.
- 10.1109/ROBOT.2002.1014764 · DOI
Cited by
Sorted by citations
Villani, V., Pini, F., Leali, F., & Secchi, C. (2018) · Mechatronics · doi:10.1016/j.mechatronics.2018.02.009 · Cited by 1,278
Zhang, J., & Tao, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3039359 · Cited by 774
Symbiotic human-robot collaborative assembly
Wang, L., Gao, R. X., Váncza, J., Krüger, J., Wang, X. V., Makris, S., & Chryssolouris, G. (2019) · CIRP Annals · doi:10.1016/j.cirp.2019.05.002 · Cited by 592
Self-citationService robots in hotels: understanding the service quality perceptions of human-robot interaction
Choi, Y., Choi, M., Oh, M., & Kim, S. (2019) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2020.1703871 · Cited by 560
Hentout, A., Mustapha, A., Maoudj, A., & Akli, I. (2019) · Advanced Robotics · doi:10.1080/01691864.2019.1636714 · Cited by 463
Metadata
- Authors
- Tsarouchi, P., Makris, S., & Chryssolouris, G.
- Affiliations
- University of Patras (GR)
- Corresponding author
- Chryssolouris, George
- Venue
- International Journal of Computer Integrated Manufacturing
- Publisher
- Informa UK Limited
- Published
- 2016-02-29
- Volume
- 29
- Issue
- 8
- Pages
- 916-931
- ISSN
- 0951-192X (ISSN-L)
- 1362-3052
- OpenAlex
- W2312797433
- Cited by
- 376
- References
- 115
- Citations by year
- 2026: 19 · 2025: 19 · 2024: 31 · 2023: 44 · 2022: 42 · 2021: 62 · 2020: 62 · 2019: 39 · 2018: 31 · 2017: 24 · 2016: 3
- FWCI
- 27.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Computer Integrated Manufacturing (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Keywords
- human-robot interaction, task planning, robot programming, task allocation, task scheduling, digital human models, imitation learning, voice commands, haptic interaction, physical human-robot interaction, robot safety, multimodal communication, manufacturing automation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
