Cited by 376Robot Manipulation and LearningSocial Robot Interaction and HRIRobotics and Automated Systems

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Human – robot interaction review and challenges on task planning and programming

Tsarouchi, Panagiota, Makris, Sotiris, Chryssolouris, George·2016·International Journal of Computer Integrated Manufacturing

DOI 10.1080/0951192x.2015.1130251

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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.

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Planning algorithms
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
Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs
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

Show all 115 references

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

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Self-citation
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Tilloo, P., Parron, J., Obidat, O., Zhu, M., & Wang, W. (2022) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber55403.2022.9907660 · Cited by 9
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Pleva, M., Juhár, J., Ondáš, S., Hudson, C. R., Bethel, C. L., & Carruth, D. W. (2019) · International Conference Radioelektronika · doi:10.1109/radioelek.2019.8733492 · Cited by 9
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Self-citation
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Self-citation
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Human–computer cooperation platform for developing real-time robotic applications
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Antakli, A., Spieldenner, T., Köster, M., Groß, J., Herrmann, E., Rubinstein, D., Spieldenner, D., & Zinnikus, I. (2020) · Lecture notes in business information processing · doi:10.1007/978-3-030-61750-9_3 · Cited by 5
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Schleicher, T., & Bullinger, A. C. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-96068-5_23 · Cited by 5
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Changizi, A., & Lanz, M. (2018) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-05931-6_8 · Cited by 5
Auto-calibration of robot workcells via remote laser scanning
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Guo, T., Obidat, O., Rodriguez, L., Parron, J., & Wang, W. (2022) · IEEE MIT Undergraduate Research Technology Conference (URTC) · doi:10.1109/urtc56832.2022.10002210 · Cited by 5
Hiding task-oriented programming complexity: an industrial case study
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Glogowski, P., Lemmerz, K., Hypki, A., & Kuhlenkötter, B. (2018) · Biosystems & biorobotics · doi:10.1007/978-3-030-01836-8_23 · Cited by 5
A Formal Control Architecture for Collaborative Robotics Applications
Zanchettin, A. M., Marconi, M., Ongini, C., Rossi, R., & Rocco, P. (2020) · IEEE International Conference on Human-Machine Systems (ICHMS) · doi:10.1109/ichms49158.2020.9209533 · Cited by 5
Learning to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public MuseumPreprint
Meng, L., Lin, D., Francey, A., Gorbet, R., Beesley, P., & Kulić, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.06764 · Cited by 8
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Virtual Reality for Programming Cooperating Robots Based on Human Motion Mimicking
Makris, S. (2020) · Springer series in advanced manufacturing · doi:10.1007/978-3-030-51591-1_18 · Cited by 4
Self-citation
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Development and Implementation of an AI-Embedded and ROS-Compatible Smart Glove System in Human-Robot Interaction
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Chen, C., Liu, H., Zhu, X., Wu, D., & Xie, Y. (2019) · International Journal of Humanoid Robotics · doi:10.1142/s0219843619500269 · Cited by 4
Applications of Learning Algorithms to Industrial Robotics
Cipriani, G., Bottin, M., & Rosati, G. (2020) · Mechanisms and machine science · doi:10.1007/978-3-030-55807-9_30 · Cited by 4
A design of Human and overhead Robot Interaction (HoRI) framework for cooperative robotic applications in copper industry
Aivaliotis, P., Kaliakatsos-Georgopoulos, D., Papavasileiou, A., & Makris, S. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.11.253 · Cited by 3
Self-citation
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Moon, J. (2023) · Symmetry · doi:10.3390/sym15091713 · Cited by 3
Considering Socially Scalable Human-Robot Interfaces
Benjamin, V. (2024) · ACM Transactions on Management Information Systems · doi:10.1145/3688852 · Cited by 3
Research Progress on Industrial Robots: A Review
Shinde, V. B., Pawar, P. J., & Gadakh, V. S. (2024) · Recent Patents on Mechanical Engineering · doi:10.2174/0122127976326652241018114550 · Cited by 3
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Authors: Tsarouchi, P., Makris, S., & Chryssolouris, G.
Affiliations: University of Patras (GR)
Corresponding author: Chryssolouris, George
ORCID: Makris, Sotiris
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
DOI: 10.1080/0951192x.2015.1130251
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

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Human – robot interaction review and challenges on task planning and programming

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