Abstract
To realize human-robot collaboration in manufacturing, industrial robots need to share an environment with humans and to work hand in hand. This introduces safety concerns but also provides the opportunity to take advantage of human-robot interactions to control the robot. The main objective of this work is to provide HRI without compromising safety issues in a realistic industrial context. In the paper, a region-based filtering and reasoning method for safety has been developed and integrated into a human-robot collaboration system. The proposed method has been successfully demonstrated keeping safety during the showcase evaluation of the European robotics challenges with a real mobile manipulator.
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References
Amaral, F., Pedrosa, E., Lim, G.H., Shafii, N., Pereira, A., Azevedo, J.L., Cunha, B., Reis, L.P., Badini, S., Lau, N.: Skill-based anytime agent architecture for logistics and manipulation tasks: EuRoC Challenge 2, Stage II-Realistic Labs: Benchmarking. In: 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 198–203. IEEE (2017)
Augustsson, S., Christiernin, L.G., Bolmsjö, G.: Human and robot interaction based on safety zones in a shared work environment. In: Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction, pp. 118–119. ACM (2014)
Ballardini, A.L., Fontana, S., Furlan, A., Sorrenti, D.G.: ira_laser_tools: a ROS laserscan manipulation toolbox. arXiv preprint arXiv:1411.1086 (2014)
Bischoff, R., Guhl, T.: The strategic research agenda for robotics in europe [industrial activities]. IEEE Robot. Autom. Mag. 1(17), 15–16 (2010)
Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)
Dias, R., Lau, N., Silva, J., Lim, G.H.: Multi-object tracking with distributed sensing. In: 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp. 564–569. IEEE (2016)
Lim, G.H.: Two-step learning about normal and exceptional human behaviors incorporating patterns and knowledge. In: 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp. 162–167. IEEE (2016)
Lim, G.H., Oliveira, M., Mokhtari, V., Kasaei, S.H., Chauhan, A., Lopes, L.S., Tomé, A.M.: Interactive teaching and experience extraction for learning about objects and robot activities. In: 2014 RO-MAN: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp. 153–160. IEEE (2014)
Lim, G.H., Pedrosa, E., Amaral, F., Lau, N., Pereira, A., Dias, P., Azevedo, J.L., Cunha, B., Reis, L.P.: Rich and robust human-robot interaction on gesture recognition for assembly tasks. In: 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 159–164. IEEE (2017)
Lim, G.H., Suh, I.H.: Improvisational goal-oriented action recommendation under incomplete knowledge base. In: 2012 IEEE International Conference on Robotics and Automation (ICRA), pp. 896–903. IEEE (2012)
Lim, G.H., Yi, C., Suh, I.H., Ko, D.W., Hong, S.W.: Ontology representation and instantiation for semantic map building by a mobile robot. In: Intelligent Autonomous Systems 12, pp. 387–395. Springer (2013)
Pedrocchi, N., Vicentini, F., Matteo, M., Tosatti, L.M.: Safe human-robot cooperation in an industrial environment. Int. J. Adv. Robot. Syst. 10(1), 27 (2013)
Pedrosa, E., Lau, N., Pereira, A., Cunha, B.: A skill-based architecture for pick and place manipulation tasks. In: Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, pp. 457–468. Springer (2015)
Siciliano, B., Caccavale, F., Zwicker, E., Achtelik, M., Mansard, N., Borst, C., Achtelik, M., Jepsen, N.O., Awad, R., Bischoff, R.: EuRoC-the challenge initiative for european robotics. In: Proceedings of ISR/Robotik 2014, 41st International Symposium on Robotics, pp. 1–7. VDE (2014)
Stenmark, M., Malec, J., Nilsson, K., Robertsson, A.: On distributed knowledge bases for robotized small-batch assembly. IEEE Trans. Autom. Sci. Eng. 12(2), 519–528 (2015)
Teunissen, P.: An integrity and quality control procedure for use in multi sensor integration. In: ION GPS Redbook, Integrated Systems, vol. 7. Institute of Navigation (ION) (2010)
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press, Cambridge (2005)
Tudico, A., Lau, N., Pedrosa, E., Amaral, F., Mazzotti, C., Carricato, M.: Improving and benchmarking motion planning for a mobile manipulator operating in unstructured environments. In: Portuguese Conference on Artificial Intelligence, pp. 498–509. Springer (2017)
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This work was supported by the EuRoC Project under Grant no. 608849.
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Lim, G.H. et al. (2018). Human-Robot Collaboration and Safety Management for Logistics and Manipulation Tasks. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-70836-2_2
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DOI: https://doi.org/10.1007/978-3-319-70836-2_2
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