Combining Planning and Simulation to Create Human Robot Cooperative Processes with Industrial Service Robots

Abstract:

The integration of lightweight robots and service robots into industrial work places forms the new area of industrial service robots characterized by the transformation of manual processes to human robot interactive processes. Still, it is highly difficult to decide which manual processes are qualified for automation or collaboration. Consequently, only few collaborative processes can be found in industry. The objective of the project MANUSERV is to support decisions towards this transfer by developing a tool that supports users to identify practical technical solutions. The tool is a combination of a planning system and a simulation system. The aim of the planning system is to select technically feasible solutions and generate task sequences that solve the problem. The simulation system verifies the proposed solution and evaluates it technically, economically, and ergonomically. Manufacturers of service robots can provide their service robot specifications to be included into the system selection process.

• Periodical: Applied Mechanics and Materials (Volume 840)
• Pages: 91-98
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.840.91
• Online since: June 2016
• Authors: Frank Heinze*, Maike Klöckner, Nils Wantia, Jürgen Rossmann, Bernd Kuhlenkötter, Jochen Deuse
• Keywords: Human Robot Cooperation, Industrial Service Robots, Manual Process, MANUSERV, Planning, Simulation

References

[1] ISO 8373, Robots and robotic devices – Vocabulary. (2012).

[2] S. Kristensen, M. Neumann, S. Horstmann, F. Lohnert, A. Stopp, A., Tactile Man-Robot Interaction for an Industrial Service Robot, in: Sensor Based Intelligent Robots, H.I. Christensen, and G. Hager (editors), Lecture Notes in Artificial Intelligence, Springer. (September 2001).

DOI: 10.1007/3-540-45993-6_11

[3] P. Plöger, K. Pervölz, C. Mies, P. Eyerich, M. Brenner, B. Nebel, The DESIRE Service Robotics Initiative, Künstliche Intelligenz - KI, Vol. 22, No. 4, (2008) 29-32.

[4] S. Cambon, R. Alami, F. Gravot, A hybrid approach to intricate motion, manipulation and task planning, The International Journal of Robotics Research, vol. 28, no. 1, (2009) 104–126.

DOI: 10.1177/0278364908097884

[5] M.R. Pedersen, V. Krüger. Automated Planning of Industrial Logistics on a Skill-equipped Robot, IROS 2015 workshop Task Planning for Intelligent Robots in Service and Manufacturing, Hamburg, Germany. (October 2015).

[6] H. Mosemann, F. Wahl, Automatic decomposition of planned assembly sequences into skill primitives, IEEE Transactions on Robotics and Automation, vol. 17, (October 2001), 709 –718.

DOI: 10.1109/70.964670

[7] J. T. C. Tan, F. Duan, R. Kato, T. Arai, Collaboration Planning by Task Analysis, in Human-Robot Collaborative Manufacturing System, Advances in Robot Manipulators, Ernest Hall (Ed. ), ISBN: 978-953-307-070-4, InTech. (2010).

DOI: 10.5772/9543

[8] K. Beumelburg, Fähigkeitsorientierte Montageablaufplanung in der direkten Mensch-Roboter-Kooperation, Heimsheim, Jost-Jetter-Verlag. (2005).

[9] DIN EN ISO 10218, Robots and robotic devices - Safety requirements for industrial robots - Part 1: Robots. (2012).

DOI: 10.3403/30218711

[10] C. Thomas, F. Busch, B. Kuhlenkötter, J. Deuse, Ensuring Human Safety with Offline Simulation and Real-time Workspace Surveillance to Develop a Hybrid Robot Assistance System for Welding of Assemblies, Proceedings of the 4th International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV2011) (Montreal, Canada), (2011).

DOI: 10.1007/978-3-642-23860-4_76

[11] C. Thomas, M. Klöckner, B. Kuhlenkötter, Mensch-Roboter-Kollaboration – Von der industriellen Produktion bis zum Anwendungsgebiet Rehabilitation, Erste transdisziplinäre Konferenz zum Thema Technische Unterstützungssysteme, die die Menschen wirklich wollen, (2014).

[12] J. Deuse, J. Rossmann, B. Kuhlenkötter, A. Hengstebeck, O. Stern, M. Klöckner, A Methodology for the Planning and Implementation of Service Robotics in Industrial Work Processes, Proceedings of the 5th CATS 2014 CIRP Conference on Assembly Systems and Technologies, 23, (2014).

DOI: 10.1016/j.procir.2014.10.066

[13] A. Hengstebeck, K. Weisner, M. Klöckner, J. Deuse, B. Kuhlenkötter, J. Roßmann, Formal modelling of manual work processes for the application of industrial service robotics, Proceedings of 48th CIRP Conference on Manufacturing Systems (CMS 2015), Naples, Italy. (2015).

DOI: 10.1016/j.procir.2015.12.013

[14] M. Fox, D. Long, An Extension to PDDL for Expressing Temporal Planning Domains (PDDL2. 1), Journal of Artificial Intelligence Research, Vol. 20, No. 20, AI Access Foundation, (2003) 61-124.

DOI: 10.1613/jair.1129

[15] J. Rossmann, M. Schluse, A Foundation for e-Robotics in Space, in Industry – And in the Woods, Proceedings of the 4th International Conference on Developments in eSystems Engineering, (2011) 496-501.

[16] J. Rossmann, E. Kaigom, L. Atorf, M. Rast, G. Grinshpun, C. Schlette, Mental Models for Intelligent Systems: eRobotics Enables New Approach to Simulation-Based AI, KI – Künstliche Intelligenz 2. No. 2 (June), (2014) 101-110.

DOI: 10.1007/s13218-014-0298-z

[17] J. Rossmann, C. Schlette, The Simulation and Animation of Virtual Humans to Better Understand Ergonomic Conditions at Manual Workplaces, The Journal on Systemics, Cybernetics and Informatics (JSCI), Volume 8. (2010).

[18] N. Wantia, D. Losch, J. Rossmann, Symbolic Planning for Industrial Applications – the eRobotics Approach, Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), IEEE, ISBN 978-1-4799-5283-0. (2014).

DOI: 10.1109/coase.2014.6899352

[19] F. Heinze, F. Wolf, K. Weisner, J. Rossmann, J. Deuse, B. Kuhlenkoetter, Motion Capturing for the Simulation of Manual Industrial Processes, Proceedings of the 13th ISC, No. 13, Valencia, Spain, (2015) 48-52.