Abstract
Human-robot collaboration (HRC) in the manufacturing context aims to realise a shared workspace where humans can work side by side with robots in close proximity. In human-robot collaborative manufacturing, robots are required to adapt to human behaviours by dynamically changing their pre-planned tasks. However, the robots used today controlled by rigid native codes can no longer support effective human-robot collaboration. To address such challenges, programming-free and multimodal communication and control methods have been actively explored to facilitate the robust human-robot collaborative manufacturing. They can be applied as the solutions to the needs of the increased flexibility and adaptability, as well as higher effort on the conventional (re)programing of robots. These high-level multimodal commands include gesture and posture recognition, voice processing and sensorless haptic interaction for intuitive HRC in local and remote collaboration. Within the context, this paper presents an overview of HRC in manufacturing. Future research directions are also highlighted.
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Wang, L., Gao, R., Váncza, J., Krüger, J., Wang, X.V., Makris, S., Chryssolouris, G.: Symbiotic human-robot collaborative assembly. CIRP Ann. 68(2), 701–726 (2019)
Wang, X.V., Kemény, Z., Váncza, J., Wang, L.: Human–robot collaborative assembly in cyber-physical production: classification framework and implementation. CIRP Ann. Manuf. Technol. 66(1), 5–8 (2017)
Schmidtler, J., Knott, V., Hölzel, C., Bengler, K.: Human centered assistance applications for the working environment of the future. Occup. Ergon. 12(3), 83–95 (2015)
Wang, X.V., Seira, A., Wang, L.: Classification, personalised safety framework and strategy for human-robot collaboration. In: Proceedings of International Conference on Computers & Industrial Engineering, CIE 2018 December (2018)
ISO 10218-1:2011 Robots and robotic devices — Safety requirements for industrial robots — Part 1: Robots
Lien, T.K., Verl, A.: Cooperation of human and machines in assembly lines. CIRP Ann. Manuf. Technol. 58, 628–646 (2009)
Yanco, H.A., Drury, J.: Classifying human-robot interaction: an updated taxonomy. In: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp. 2841–2846 (2004)
De Santis, A., Siciliano, B., De Luca, A., Bicchi, A.: An atlas of physical human–robot interaction. Mech. Mach. Theory 43(3), 253–270 (2008)
Krüger, J., Lien, T.K., Verl, A.: Cooperation of human and machines in assembly lines. CIRP Ann. 58(2), 628–646 (2009)
Pellegrinelli, S., Moro, F.L., Pedrocchi, N., Molinari Tosatti, L., Tolio, T.: A probabilistic approach to workspace sharing for human–robot cooperation in assembly tasks. CIRP Ann. 65(1), 57–60 (2016)
Wang, L., Haghighi, A.: Combined strength of holons, agents and function blocks in cyber-physical systems. J. Manuf. Syst. 40, 25–34 (2016)
Leitão, P.: Agent-based distributed manufacturing control: a state-of-the-art survey. Eng. Appl. Artif. Intell. 22(7), 979–991 (2009)
Monostori, L., Váncza, J., Kumara, S.R.T.: Agent-based systems for manufacturing. CIRP Ann. 55(2), 697–720 (2006)
Bi, Z.M., Wang, L., Lang, S.Y.T.: Current status of reconfigurable assembly systems. Int. J. Manuf. Res. 2(3), 303–328 (2007)
Musić, S., Hirche, S.: Control sharing in human-robot team interaction. Annu. Rev. Control 44, 342–354 (2017)
Janni, P.: Human-robot collaboration: a survey. Lingua Nostra 67(3–4), 122–124 (2006)
EU project: SYMBIO-TIC. http://www.symbio-tic.eu/
Sadrfaridpour, B., Wang, Y.: Collaborative assembly in hybrid manufacturing cells: an integrated framework for human-robot interaction. IEEE Trans. Autom. Sci. Eng. 15(3), 1178–1192 (2018)
Elena, R., Brian, A.: Levels of human and robot collaboration for automotive manufacturing. In: Proceedings of the Workshop on Performance Metrics for Intelligent Systems, March 2012 (2012)
Tan, J.T.C., Duan, F., Zhang, Y., Watanabe, K., Kato, R., Arai, T.: Human-robot collaboration in cellular manufacturing: design and development. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, pp. 29–34 (2009)
Sadrfaridpour, B., Saeidi, H., Wang, Y.: An integrated framework for human-robot collaborative assembly in hybrid manufacturing cells. In: International Conference on Automation Science and Engineering, November 2016, pp. 462–467 (2016)
Wang, L.: From intelligence science to intelligent manufacturing. Engineering 5(4), 615–618 (2019)
Thomas, C., Matthias, B., Kuhlenkötter, B.: Human ‐ robot collaboration – new applications in industrial robotics. In: International Conference in Competitive Manufacturing, January, pp. 293–299 (2016)
Kardos, C., Kovács, A., Váncza, J.: Decomposition approach to optimal feature-based assembly planning. CIRP Ann. 66(1), 417–420 (2017)
Kardos, C., Váncza, J.: Mixed-initiative assembly planning combining geometric reasoning and constrained optimization. CIRP Ann. 67(1), 463–466 (2018)
Michalos, G., Makris, S., Tsarouchi, P., Guasch, T., Kontovrakis, D., Chryssolouris, G.: Design considerations for safe human-robot collaborative workplaces. Procedia CIRP 37, 248–253 (2015)
Rosenthal, S., Biswas, J., Veloso, M.: An effective personal mobile robot agent through symbiotic human-robot interaction. In: Proceedings of International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 2, pp. 915–922 (2010)
Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., Ueda, K.: Cyber-physical systems in manufacturing. CIRP Ann. 65(2), 621–641 (2016)
Wang, L., Balasubramanian, S., Norrie, D.H,, Brennan, R.W.: Agent-based control system for next generation manufacturing (1998)
Shen, W., Wang, L., Hao, Q.: Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 36(4), 563–577 (2006)
Cherubini, A., Passama, R., Crosnier, A., Lasnier, A., Fraisse, P.: Collaborative manufacturing with physical human-robot interaction. Robot. Comput. Integr. Manuf. 40, 1–13 (2016)
Ji, W., Yin, S., Wang, L.: A virtual training based programming-free automatic assembly approach for future industry. IEEE Access 6, 43865–43873 (2018)
International Electrotechnical Commission: International Standard of Function Blocks – Part 1: Architecture, IEC 61499, pp. 1–111 (2005)
Tsarouchi, P., Michalos, G., Makris, S., Athanasatos, T., Dimoulas, K., Chryssolouris, G.: On a human–robot workplace design and task allocation system. Int. J. Comput. Integr. Manuf. 30(12), 1272–1279 (2017)
Liu, S., Wang, Y., Wang, X.V., Wang, L.: Energy-efficient trajectory planning for an industrial robot using a multi-objective optimisation approach. Procedia Manuf. 25(August), 517–525 (2018)
Ranz, F., Hummel, V., Sihn, W.: Capability-based task allocation in human-robot collaboration. Procedia Manuf. 9, 182–189 (2017)
Tsarouchi, P., Makris, S., Chryssolouris, G.: Human–robot interaction review and challenges on task planning and programming. Int. J. Comput. Integr. Manuf. 29(8), 916–931 (2016)
Tsarouchi, P., Makris, S., Chryssolouris, G.: On a human and dual-arm robot task planning method. Procedia CIRP 57, 551–555 (2016)
Wang, L., Givehchi, M., Schmidt, B., Adamson, G.: Robotic assembly planning and control with enhanced adaptability. Procedia CIRP 3(1), 173–178 (2012)
Wang, L., Schmidt, B., Givehchi, M., Adamson, G.: Robotic assembly planning and control with enhanced adaptability through function blocks. Int. J. Adv. Manuf. Technol. 77(1–4), 705–715 (2015)
ISO 10218-2:2011 Robots and robotic devices — Safety requirements for industrial robots — Part 2: Robot systems and integration
Lasota, P.A., Fong, T., Shah, J.A.: A survey of methods for safe human-robot interaction. Found. Trends Robot. 5(3), 261–349 (2017)
Haddadin, S., De Luca, A., Albu-Schäffer, A.: Robot collisions: a survey on detection, isolation, and identification. IEEE Trans. Robot. 33(6), 1292–1312 (2017)
Schmidt, B., Wang, L.: Active collision avoidance for human-robot collaborative manufacturing. In: The 5th International Swedish Production Symposium, pp. 81–86 (2012)
Vasic, M., Billard, A.: Safety issues in human-robot interactions. In: Proceedings - IEEE International Conference on Robotics and Automation, pp. 197–204 (2013)
Carlson, J., Murphy, R.R.: How UGVs physically fail in the field. IEEE Trans. Robot. 21(3), 423–437 (2005)
Schmidt, B., Wang, L.: Depth camera based collision avoidance via active robot control. J. Manuf. Syst. 33(4), 711–718 (2014)
KUKA System Software 8.3 Operating and Programming Instructions for End Users (2019)
ISO 13855:2010 Safety of machinery — Positioning of safeguards with respect to the approach speeds of parts of the human body
Kosuge, K., Yoshida, H., Taguchi, D., Fukuda, T., Hariki, K., Kanitani, K., Sakai, M.: Robot-human collaboration for new robotic applications. In: Proceedings of IECON - Industrial Electronics Conference, vol. 2, pp. 713–718 (1994)
ISO/TS 15066:2016 Robots and robotic devices — Collaborative robots
Pfitzner, C., Antal, W., Hess, P., May, S., Merkl, C., Koch, P., Koch, R., Wagner, M.: 3D multi-sensor data fusion for object localization in industrial applications. In: ISR/Robotik 2014; 41st International Symposium on Robotics Proceedings, pp. 1–6. VDE (2014)
Michalos, G., Kousi, N., Karagiannis, P., Gkournelos, C., Dimoulas, K., Koukas, S., Mparis, K., Papavasileiou, A., Makris, S.: Seamless human robot collaborative assembly – an automotive case study. Mechatronics 55, 194–211 (2018)
Rocco, P., Zanchettin, A.M., Matthias, B., Ding, H., Ceriani, N.M.: Safety in human-robot collaborative manufacturing environments: metrics and control. IEEE Trans. Autom. Sci. Eng. 13(2), 882–893 (2015)
Heinzmann, J., Zelinsky, A.: Quantitative safety guarantees for physical human-robot interaction. Int. J. Robot. Res. 22(7-8 Special Issue), 479–504 (2003)
Calinon, S., Sardellitti, I., Caldwell, D.G.: Learning-based control strategy for safe human-robot interaction exploiting task and robot redundancies. In: IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings, pp. 249–254 (2010)
Laffranchi, M., Tsagarakis, N.G., Caldwell, D.G.: Safe human robot interaction via energy regulation control. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, pp. 35–41 (2009)
Geravand, M., Shahriari, E., De Luca, A., Peer, A.: Port-based modeling of human-robot collaboration towards safety-enhancing energy shaping control. In: Proceedings - IEEE International Conference on Robotics and Automation, June 2016, pp. 3075–3082 (2016)
Meguenani, A., Padois, V., Da Silva, J., Hoarau, A., Bidaud, P.: Energy based control for safe human-robot physical interaction (2017). https://doi.org/10.1007/978-3-319-50115-4
Yamada, Y., Hirasawa, Y., Huang, S., Umetani, Y., Suita, K.: Human-robot contact in the safeguarding space. IEEE/ASME Trans. Mechatron. 2(4), 230–236 (1997)
Suita, K., Yamada ,Y., Tsuchida, N., Imai, K., Sugimoto, N.: A failure-to-safety “Kyozon” system with simple contact detection and stop capabilities for safe human-autonomous robot coexistence, pp. 3089–3096 (1965)
Wang, L., Wang, X.V., Wang, L., Wang, X.V.: Safety in human-robot collaborative assembly. Cloud-Based Cyber-Phys. Syst. Manuf. (2018). https://doi.org/10.1007/978-3-319-67693-7_9
Dombrowski, U., Stefanak, T., Reimer, A.: Simulation of human-robot collaboration by means of power and force limiting. Procedia Manuf. 17, 134–141 (2018)
Kokkalis, K., Michalos, G., Aivaliotis, P., Makris, S.: An approach for implementing power and force limiting in sensorless industrial robots. Procedia CIRP 76, 138–143 (2018)
Takakura, S., Murakami, T., Ohnishi, K.: Approach to collision detection and recovery motion in industrial robot. In: Proceedings of IECON - Industrial Electronics Conference, vol. 2, pp. 421–426 (1989)
De Luca, A., Flacco, F.: Integrated control for pHRI: collision avoidance, detection, reaction and collaboration. In: Proceedings IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 288–295 (2012)
De Luca, A., Mattone, R.: Sensorless robot collision detection and hybrid force/motion control. In: Proceedings - IEEE International Conference on Robotics and Automation, pp. 999–1004 (2005)
Kosuge, K., Matsumoto, T., Morinaga, S.: Collision detection system for manipulator based on adaptive control scheme. Trans. Soc. Instrum. Control Eng. 39(6), 552–558 (2003)
Wu, D., Liu, Q., Xu, W., Liu, A., Zhou, Z., Pham, D.T.: External force detection for physical human-robot interaction using dynamic model identification. In: International Conference on Intelligent Robotics and Applications, October, vol. 10462, pp. 581–592 (2017)
Krüger, J., Nickolay, B., Heyer, P., Seliger, G.: Image based 3D surveillance for flexible man-robot-cooperation. CIRP Ann. 54(1), 19–22 (2005)
Corrales, J.A., Candelas, F.A., Torres, F.: Safe human–robot interaction based on dynamic sphere-swept line bounding volumes. Robot. Comput. Integr. Manuf. 27(1), 177–185 (2011)
Ebert, D.M., Henrich, D.D.: Safe human-robot-cooperation: image-based collision detection for industrial robots. In: IEEE International Conference on Intelligent Robots and Systems, October, vol. 2, pp. 1826–1831 (2002)
Henrich, D., Gecks, T.: Multi-camera collision detection between known and unknown objects. In: 2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008 (2008). https://doi.org/10.1109/icdsc.2008.4635717
Vogel, C., Walter, C., Elkmann, N.: A projection-based sensor system for ensuring safety while grasping and transporting objects by an industrial robot. In: 2015 IEEE International Symposium on Robotics and Intelligent Sensors, pp. 271–277 (2016)
Vogel, C., Walter, C., Elkmann, N.: A projection-based sensor system for safe physical human-robot collaboration. In: IEEE International Conference on Intelligent Robots and Systems, pp. 5359–5364 (2013)
Tan, J.T.C., Arai, T.: Triple stereo vision system for safety monitoring of human-robot collaboration in cellular manufacturing. In: Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011, pp. 1–6 (2011)
Schiavi, R., Bicchi, A., Flacco, F.: Integration of active and passive compliance control for safe human-robot coexistence. In: Proceedings - IEEE International Conference on Robotics and Automation, pp. 259–264 (2009)
Fischer, M., Henrich, D.: 3D collision detection for industrial robots and unknown obstacles using multiple depth images. In: Advances in Robotics Research: Theory, Implementation, Application, pp. 111–122 (2009)
Rybski, P., Anderson-Sprecher, P., Huber, D., Niessl, C., Simmons, R.: Sensor fusion for human safety in industrial workcells. In: IEEE International Conference on Intelligent Robots and Systems, pp. 3612–3619 (2012)
Dániel, B., Korondi, P., Thomessen, T.: Joint level collision avoidance for industrial robots. IFAC Proc. 45(22), 655–658 (2012)
Morato, C., Kaipa, K.N., Zhao, B., Gupta, S.K.: Toward safe human robot collaboration by using multiple kinects based real-time human tracking. J. Comput. Inf. Sci. Eng. (2014). https://doi.org/10.1115/1.4025810
Mohammed, A., Schmidt, B., Wang, L.: Active collision avoidance for human–robot collaboration driven by vision sensors. Int. J. Comput. Integr. Manuf. 30(9), 970–980 (2017)
Wang, L., Schmidt, B., Nee, A.Y.C.: Vision-guided active collision avoidance for human-robot collaborations. Manuf. Lett. 1(1), 5–8 (2013)
Graham, J.H.: A fuzzy logic approach for safety and collision avoidance in robotic systems. Int. J. Hum. Factors Manuf. 5(4), 447–457 (1995)
Haddadin, S., Albu-sch, A., De Luca, A., Hirzinger, G.: Collision detection and reaction: a contribution to safe physical human-robot interaction, pp. 22–26 (2008)
De Luca, A., Ferrajoli, L.: Exploiting robot redundancy in collision detection and reaction. In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, pp. 3299–3305 (2008)
Parusel, S., Haddadin, S., Albu-Schäffer, A.: Modular state-based behavior control for safe human-robot interaction: a lightweight control architecture for a lightweight robot. In: Proceedings - International Conference on Robotics and Automation, pp. 4298–4305 (2011)
Flacco, F., Kroeger, T., De Luca, A., Khatib, O.: A depth space approach for evaluating distance to objects: with application to human-robot collision avoidance. J. Intell. Robot. Syst. Theory. Appl. 80, 7–22 (2015)
Balan, L., Bone, G.M.: Real-time 3D collision avoidance method for safe human and robot coexistence, pp. 276–282 (2006)
Seto, F., Kosuge, K., Hirata, Y.: Self-collision avoidance motion control for human robot cooperation system using RoBE. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, pp. 50–55 (2005)
Ratsamee, P., Mae, Y., Ohara, K., Takubo, T., Arai, T.: Human-robot collision avoidance using a modified social force model with body pose and face orientation. Int. J. Humanoid Robot. 10(1), 1–24 (2013)
Polverini, M.P., Zanchettin, A.M., Rocco, P.: Real-time collision avoidance in human-robot interaction based on kinetostatic safety field. In: IEEE International Conference on Intelligent Robots and Systems (IROS), pp. 4136–4141 (2014)
Tamura, Y., Fukuzawa, T., Asama, H.: Smooth collision avoidance in human-robot coexisting environment. In: IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings, pp. 3887–3892 (2010)
Wang, L., Törngren, M., Onori, M.: Current status and advancement of cyber-physical systems in manufacturing. J. Manuf. Syst. 37, 517–527 (2015)
Wang, L., Wang, X.V., Wang, L., Wang, X.V.: Latest advancement in CPS and IoT applications. In: Cloud-Based Cyber-Physical Systems in Manufacturing, pp. 33–61. Springer, Cham (2018)
Zhang, Y., Liu, S., Liu, Y., Yang, H., Li, M., Huisingh, D., Wang, L.: The ‘Internet of Things’ enabled real-time scheduling for remanufacturing of automobile engines. J. Clean. Prod. 185, 562–575 (2018). https://doi.org/10.1016/j.jclepro.2018.02.061
Liu, S., Zhang, Y., Liu, Y., Wang, L., Wang, X.V.: An ‘Internet of Things’ enabled dynamic optimization method for smart vehicles and logistics tasks. J. Clean. Prod. 215, 806–820 (2019)
Liu, S., Zhang, G., Wang, L.: IoT-enabled dynamic optimisation for sustainable reverse logistics. Procedia CIRP 69, 662–667 (2018)
Wang, L., Wang, X.V., Wang, L., Wang, X.V.: Cloud robotics towards a CPS assembly system. In: Cloud-Based Cyber-Physical Systems in Manufacturing, pp. 243–259. Springer, Cham (2018)
Weidner, R., Kong, N., Wulfsberg, J.P.: Human hybrid robot: a new concept for supporting manual assembly tasks. Prod. Eng. 7(6), 675–684 (2013)
Adamson, G., Wang, L., Moore, P.: Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems. J. Manuf. Syst. 43, 305–315 (2017)
Wang, X.V., Wang, L., Mohammed, A., Givehchi, M.: Ubiquitous manufacturing system based on Cloud: a robotics application. Robot. Comput. Integr. Manuf. 45, 116–125 (2017)
Liu, H., Wang, L.: Remote human-robot collaboration: a cyber-physical system application for hazard manufacturing environment. J. Manuf. Syst. 54, 24–34 (2019)
Kebria, P.M., Al-Wais, S., Abdi, H., Nahavandi, S.: Kinematic and dynamic modelling of UR5 manipulator. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings, pp. 4229–4234 (2017)
Product specification IRB 120
Hashimoto, S., Ishida, A., Inami, M., Igarash, T.: TouchMe: an augmented reality based remote robot manipulation. In: 21st International Conference on Artificial Reality and Telexistence, pp. 1–6 (2011)
Quigley, M., Gerkey, B., Conley, K., Faust, J., Foote, T., Leibs, J., Berger, E., Wheeler, R., Ng, A.Y.: ROS: an open-source robot operating system. In: IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society (Figure 1), pp. 4754–4759 (2015)
Hernandez, S., Fernando, J., Cotarelo, H.: Multi-master ROS systems (2015)
Pan, Z., Polden, J., Larkin, N., Van Duin, S., Norrish, J.: Recent progress on programming methods for industrial robots. In: Joint International Symposium on Robotics and 6th German Conference on Robotics 2010, ISR/ROBOTIK 2010, vol. 1, pp. 619–626 (2010)
Denkena, B., Denkena, B., Wörn, H., Apitz, R., Bischoff, R., Hein, B., Kowalski, P., Mages, D., Schuler, H.: Roboterprogrammierung in der Fertigung, vol. 9, pp. 656–60. Springer (2005)
Liu, H., Fang, T., Zhou, T., Wang, Y., Wang, L.: Deep learning-based multimodal control interface for human-robot collaboration. Procedia CIRP 72, 3–8 (2018)
Perzylo, A., Somani, N., Profanter, S., Rickert, M., Knoll, A.: Toward efficient robot teach-in and semantic process descriptions for small lot sizes. In: Proceedings of Robotics: Science and Systems (RSS), Workshop on Combining AI Reasoning and Cognitive Science with Robotics, pp. 1–7 (2015)
Cevzar, M., Petrič, T., Babič, J.: Sensor-based loops and branches for playback-programmed robot systems. Mech. Mach. Sci. 49(Raad), 797–804 (2018)
Nippun Kumaar, A.A., Sudarshan, T.S.B.: Mobile robot programming by demonstration. In: International Conference on Emerging Trends on Engineering Science, Technology, ICETET, pp. 206–209 (2011)
Akan, B., Ameri, A., Cürüklü, B., Asplund, L.: Intuitive industrial robot programming through incremental multimodal language and augmented reality. In: Proceedings – IEEE International Conference on Robotics and Automation, pp. 3934–3939 (2011)
Gustavsson, P., Syberfeldt, A., Brewster, R., Wang, L.: Human-robot collaboration demonstrator combining speech recognition and haptic control. Procedia CIRP 63, 396–401 (2017)
Box, P.O., Izoellner, I.: Using gesture and speech control for commanding a robot assistant, pp. 454–459 (2002)
Albu-Schäffer, A., Hirzinger, G.: Cartesian impedance control techniques for torque controlled light-weight robots. In: Proceedings – IEEE International Conference on Robotics and Automation, May, vol. 1, pp. 657–663 (2002)
Grunwald, G., Schreiber, G., Hirzinger, G.: Touch: the direct type of human interaction with a redundant service robot, pp. 347–352 (2001)
Perzanowski, D., Schultz, A.C., Adams, W., Marsh, E., Bugajska, M.: Building a multimodal human-robot interface. IEEE Intell. Syst. Their Appl. 16(1), 16–21 (2001)
Neto, P., Norberto Pires, J., Paulo Moreira, A.: High-level programming and control for industrial robotics: using a hand-held accelerometer-based input device for gesture and posture recognition. Ind. Rob. 37(2), 137–147 (2010)
Kardos, C., Kemény, Z., Kovács, A., Pataki, B.E., Váncza, J.: Context-dependent multimodal communication in human-robot collaboration. Procedia CIRP 72, 15–20 (2018)
Liu, H., Wang, L.: Gesture recognition for human-robot collaboration: a review. Int. J. Ind. Ergon. 68, 355–367 (2018)
Pavlovic, V.I., Sharma, R., Huang, T.S.: Visual interpretation of hand gestures for human-computer interaction a review. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 677–695 (1997)
Krüger, J., Wang, L., Verl, A., Bauernhansl, T., Carpanzano, E., Makris, S., Fleischer, J., Reinhart, G., Franke, J., Pellegrinelli, S.: Innovative control of assembly systems and lines. CIRP Ann. 66(2), 707–730 (2017)
Reed, K.B., Peshkin, M.A.: Physical collaboration of human-human and human-robot teams. IEEE Trans. Haptics 1(2), 108–120 (2008)
Huang, S., Ishikawa, M., Yamakawa, Y.: An active assistant robotic system based on high-speed vision and haptic feedback for human-robot collaboration. In: Proceedings IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, vol. 1, pp. 3649–3654 (2018)
Feth, D., Groten, R., Peer, A., Buss, M.: Haptic human-robot collaboration: Comparison of robot partner implementations in terms of human-likeness and task performance. Presence Teleoperators Virtual Environ. 20(2), 173–189 (2011)
Surdilovic, D., Yakut, Y., Nguyen, T.M., Pham, X.B., Vick, A., Martin Martin, R.: Compliance control with dual-arm humanoid robots: design, planning and programming. In: 2010 10th IEEE-RAS International Conference on Humanoid Robots, pp. 275–281 (2010)
Makris, S., Tsarouchi, P., Surdilovic, D., Krüger, J.: Intuitive dual arm robot programming for assembly operations. CIRP Ann. 63(1), 13–16 (2014)
Kousi, N., Michalos, G., Aivaliotis, S., Makris, S.: An outlook on future assembly systems introducing robotic mobile dual arm workers. Procedia CIRP 72, 33–38 (2018)
Ong, S.K., Chong, J.W.S., Nee, A.Y.C.: Methodologies for immersive robot programming in an augmented reality environment. In: Proceedings - Graph 2006 International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, January, pp. 237–244 (2006)
Chong, J.W.S., Ong, S.K., Nee, A.Y.C., Youcef-Youmi, K.: Robot programming using augmented reality: an interactive method for planning collision-free paths. Robot. Comput. Integr. Manuf. 25(3), 689–701 (2009)
Lambrecht, J., Kleinsorge, M., Rosenstrauch, M., Krüger, J.: Spatial programming for industrial robots through task demonstration. Int. J. Adv. Robot. Syst. (2013). https://doi.org/10.5772/55640
Lambrecht, J., Kruger, J.: Spatial programming for industrial robots based on gestures and Augmented Reality. In: IEEE International Conference on Intelligent Robots and Systems, pp. 466–472 (2012)
Ji, W., Wang, Y., Liu, H., Wang, L.: Interface architecture design for minimum programming in human-robot collaboration. Procedia CIRP 72, 129–134 (2018)
Tsarouchi, P., Athanasatos, A., Makris, S., Chatzigeorgiou, X., Chryssolouris, G.: High level robot programming using body and hand gestures. Procedia CIRP 55, 1–5 (2016)
Rozo, L., Calinon, S., Caldwell, D.G., Jiménez, P., Torras, C.: Learning physical collaborative robot behaviors from human demonstrations. IEEE Trans. Robot. 32(3), 513–527 (2016)
Lamy, X., Collédani, F., Geffard, F., Measson, Y., Morel, G.: Human force amplification with industrial robot: study of dynamic limitations. In: IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings, pp. 2487–2494 (2010)
Yao, B., Zhou, Z., Wang, L., Xu, W., Liu, Q., Liu, A.: Sensorless and adaptive admittance control of industrial robot in physical human−robot interaction. In: Robotics and Computer-Integrated Manufacturing, November 2017, vol. 51, pp. 158–168 (2018)
Sanfilippo, F., Hatledal, L.I., Zhang, H., Fago, M., Pettersen, K.Y.: Controlling Kuka industrial robots: flexible communication interface JOpenShowVar. IEEE Robot. Autom. Mag. 22(4), 96–109 (2015)
Landi, C.T., Ferraguti, F., Sabattini, L., Secchi, C., Fantuzzi, C.: Admittance control parameter adaptation for physical human-robot interaction, pp. 2911–2916 (2017)
Cherubini, A., Passama, R., Meline, A., Crosnier, A., Fraisse, P.: Multimodal control for human-robot cooperation. In: IEEE International Conference on Intelligent Robots and Systems, pp. 2202–2207 (2013)
Lecun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436–444 (2015)
Silver, D., Schrittwieser, J., Simonyan, K., et al.: Mastering the game of Go without human knowledge. Nature 550(7676), 354–359 (2017)
Deng, L., Yu, D., Dahl, G.E., Mohamed, A., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T.N., Kingsbury, B.: IEEE Signal Process. Mag. 24(99), c1–c1 (2008)
Gonzalez, T.F.: ImageNet classification with deep convolutional neural networks. In: Handbook of Approximation Algorithms and Metaheuristics, pp. 1–1432 (2007)
Hershey, S., Chaudhuri, S., Ellis, D.P.W., et al.: CNN architectures for large-scale audio classification. In: ICASSP, IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, pp. 131–135 (2017)
Abdel-Hamid, O., Mohamed, A.R., Jiang, H., Penn, G.: Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition. In: ICASSP, IEEE International Conference on Acoustics, Speech, and Signal Processing – Proceedings, July 2015, pp. 4277–4280 (2012)
Hochreiter, S.: Long short-term. Memory 1780, 1735–1780 (1997)
Sundermeyer, M., Schlüter, R., Ney, H.: LSTM neural networks for language modeling. In: 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, vol. 1, pp. 194–197 (2012)
Zhu, W., Lan, C., Xing, J., Zeng, W., Li, Y., Shen, L., Xie, X.: Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks. In: 30th AAAI Conference on Artificial Intelligence, AAAI 2016, vol. ii, pp. 3697–3703 (2016)
Liu, H., Fang, T., Zhou, T., Wang, L.: Towards robust human-robot collaborative manufacturing: multimodal fusion. IEEE Access 6, 74762–74771 (2018)
Zhang, H., McLoughlin, I., Song, Y.: Robust sound event recognition using convolutional neural networks. In: ICASSP, IEEE International Conference on Acoustics, Speech, and Signal Processing – Proceedings, 2015 August, pp. 559–563 (2015)
Jarrett, K., Kavukcuoglu, K., Ranzato, M., LeCun, Y.: What is the best multi-stage architecture for object recognition? In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2146–2153 (2009)
Boureau, Y., Bach, F.: Learning mid-level features for recognition (2010)
van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 1, 1–48 (2008)
Weichert, F., Bachmann, D., Rudak, B., Fisseler, D.: Analysis of the accuracy and robustness of the Leap Motion Controller. Sensors (Switzerland) 13(5), 6380–6393 (2013)
Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Learning and transferring mid-level image representations using convolutional neural networks. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 1717–1724 (2004)
Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345–1359 (2010)
Wang, P., Liu, H., Wang, L., Gao, R.X.: Deep learning-based human motion recognition for predictive context-aware human-robot collaboration. CIRP Ann. 67(1), 17–20 (2018)
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., Darrell, T.: DeCAF: a deep convolutional activation feature for generic visual recognition. 31st International Conference on Machine Learning, ICML 2014, pp. 988–996 (2014)
Ngiam, J., Khosla, A., Kim, M., Nam, J., Lee, H., Ng, A.Y.: Multimodal deep learning. In: Proceedings 28th International Conference on Machine Learning, ICML 2011, pp. 689–696 (2011)
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Wang, L., Liu, S., Liu, H., Wang, X.V. (2020). Overview of Human-Robot Collaboration in Manufacturing. In: Wang, L., Majstorovic, V., Mourtzis, D., Carpanzano, E., Moroni, G., Galantucci, L. (eds) Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-46212-3_2
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