Abstract
In this paper we present a human robot-team interaction solution for automated task handling in an industrial work environment. The main idea is that multiple heterogenous robots with different capabilities support human workers by autonomously performing tasks for them. When a human worker asks for a specific item the robots need to collaborate as a team to grasp the item and bring it to the user. The approach combines various techniques from vision, robotics and multi-agent systems to create a flexible, low-cost solution for different task allocation problems. A proof of concept is implemented on a mobile manipulation platform and a low-cost personal robot.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
As for example the “UBR-1” from Unbounded Robotics http://unboundedrobotics.com/. and “Baxter” from Rethink Robotics http://www.rethinkrobotics.com/baxter/.
- 2.
Our team smARTLab@work successfully competed in the RoboCup@Work world championships in 2013 [1] and 2014, and the German Open competitions in 2013 and 2014.
- 3.
For more information see: http://www.ros.org/.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
Due to a damaged motor and wheel, the youBot is stationary at the moment.
References
Alers, S., Claes, D., Fossel, J., Hennes, D., Tuyls, K., Weiss, G.: How to win RoboCup@Work? In: Behnke, S., Veloso, M., Visser, A., Xiong, R. (eds.) RoboCup 2013. LNCS, vol. 8371, pp. 147–158. Springer, Heidelberg (2014)
Alers, S., Tuyls, K., Ranjbar-Sahraei, B., Claes, D., Weiss, G.: Insect-inspired robot coordination: foraging and coverage. In: The Fourteenth Conference on the Synthesis and Simulation of Living Systems (ALIFE) (2014)
Bernstein, D.S., Givan, R., Immerman, N., Zilberstein, S.: The complexity of decentralized control of Markov decision processes. Math. Oper. Res. 27(4), 819–840 (2002)
Bischoff, R., Huggenberger, U., Prassler, E.: Kuka youbot - a mobile manipulator for research and education. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 1–4, May 2011
Claes, D., Hennes, D., Tuyls, K., Meeussen, W.: Collision avoidance under bounded localization uncertainty. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), Vilamoura, Portugal, October 2012
Claes, D., Robbel, P., Oliehoek, F.A., Hennes, D., Tuyls, K.: Effective Approximations for Spatial Task Allocation Problems. In: Proceedings of the 25th Benelux Conference on Artifical Intelligence (BNAIC) (2013)
Dorigo, M., Birattari, M., Stutzle, T.: Ant colony optimization: artificial ants as a computational intelligence technique. IEEEComput. Intell. Mag. 1(4), 28–39 (2006)
Dressler, F., Akan, O.B.: A survey on bio-inspired networking. Comput. Net. 54(6), 881–900 (2010)
Floreano, D., Mattiussi, C.: Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies. The MIT Press, Cambridge (2008)
Fox, D., Burgard, W., D., F., Thrun, S.: Monte carlo localization: efficient position estimation for mobile robots. In: Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI 1999) (1999)
Fox, D., Burgard, W., Thrun, S.: The dynamic window approach to collision avoidance. In: IEEERobotics & Automation Magazine, vol. 4 (1997)
Grisetti, G., Stachniss, C., Burgard, W.: Improved techniques for grid mapping with rao-blackwellized particle filters. IEEE Trans. Rob. 23, 43–46 (2007)
Hall, M., Eibe, F., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. SIGKDD Explor. Newsl. 11(1), 10–18 (2009)
Hon, B.E.: Wheels for a course stable selfpropelling vehicle movable in any desired direction on the ground or some other base, U.S. Patent 3,876,255 (1975)
Huang, A., Olson, E., Moore, D.: LCM: lightweight communications and marshalling. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4057–4062, October 2010
Jansen, D., Buttner, H.: Real-time ethernet: the ethercat solution. Comput. Control Eng. 15(1), 16–21 (2004)
Kraetzschmar, G.K., Hochgeschwender, N., Nowak, W., Hegger, F., Schneider, S., Dwiputra, R., Berghofer, J., Bischoff, R.: RoboCup@Work: competing for the factory of the future. In: Bianchi, R.A.C., Akin, H.L., Ramamoorthy, S., Sugiura, K. (eds.) RoboCup 2014. LNCS, vol. 8992, pp. 171–182. Springer, Heidelberg (2015)
Lemmens, N.: Bee-inspired Distributed Optimization. Maastricht University, Maastricht (2011)
Lemmens, N., Tuyls, K.: Stigmergic landmark optimization. Adv. Complex Syst. 15(8), 1150025-1–1150025-41 (2012). http://www.worldscientific.com/doi/abs/10.1142/S0219525911500251
McCarthy, J.: An Introduction to Theoretical Kinematics Mass. MIT Press, Cambridge (1990)
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: Proceedings of the Open-Source Software Workshop (ICRA) (2009)
RoboCup: RoboCup (2013). http://www.robocup.org/
RoboCup@Work: RoboCup@Work (2013). http://www.robocupatwork.org/
TAPAS Project: Robotics-enabled Logistics and Assistive Services for the Transformable Factory of the Future (TAPAS) (2013). http://tapas-project.eu/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Claes, D., Tuyls, K. (2015). Human Robot-Team Interaction. In: Headleand, C., Teahan, W., Ap Cenydd, L. (eds) Artificial Life and Intelligent Agents. ALIA 2014. Communications in Computer and Information Science, vol 519. Springer, Cham. https://doi.org/10.1007/978-3-319-18084-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-18084-7_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18083-0
Online ISBN: 978-3-319-18084-7
eBook Packages: Computer ScienceComputer Science (R0)