Strict real-time for deformable materials

On handling deformable objects with industrial robots

Authors

  • Christoph Hinze isw, Universität Stuttgart
  • Markus Wnuk Universität Stuttgart
  • Armin Lechler Universität Stuttgart
  • Alexander Verl Universität Stuttgart

DOI:

https://doi.org/10.17560/atp.v61i11-12.2446

Keywords:

robot automation, deformable objects, simulation-based control

Abstract

Automating the handling of soft materials with industrial robots is a challenge due to the complex behaviour of the materials. This paper highlights problems that arise when handling deformable linear objects such as cables and hoses. A simulationcentred approach is proposed in which not only the robot but also the deformable objects are projected into the virtual world. The approach is based on a modular architecture that combines demanding computational simulations with the real-time world of the robot control.

References

Klank, U., Pangercic, D., Rusu, R. B., Beetz, M. (2009). Real-time cad model matching for mobile manipulation and grasping. In: 2009 9th IEEE-RAS International Conference on Humanoid Robots (pp. 290-296). IEEE.

Hayashi, S., Shigematsu, K., Yamamoto, S., Kobayashi, K., Kohno, Y., Kamata, J., Kurita, M. (2010). Evaluation of a strawberry-harvesting robot in a field test. In: Biosystems engineering, 105(2), 160-171.

Zujevs, A., Osadcuks, V., Ahrendt, P. (2015). Trends in robotic sensor technologies for fruit harvesting: 2010-2015. Procedia Computer Science, 77, (pp. 227-233).

Li, Z., Li, P., Yang, H., Wang, Y. (2013). Stability tests of two-finger tomato grasping for harvesting robots. Biosystems engineering, 116(2), 163-170.

Tempel, P., Eger, F., Verl, A. (2017). Fertigung von Schaltschränken im Wandel moderner Produktionsprozesse: Reichlich Potential zur Effizienzsteigerung. Schaltschrankbau, (2).

The Xenomai Projec. (2009). Xenomai. Real-Time System. Abgerufen von: https://xenomai.org/

Dipartimento di Scienze e Tecnologie Aerospaziali Politecnico di Milano. (2019). RTAI. The RealTime Application Interface for Linux. Abgerufen von: https://www.rtai.org/

Gleixner, T. (2019). Real Time Linux collaborative project. Abgerufen von: https://wiki.linuxfoundation.org/realtime/start

Chitta, S., Marder-Eppstein, E., Meeussen, W., Pradeep, V., Tsouroukdissian, A. R., Bohren, J., ... Perdomo, E. F. (2017). ros_control: A generic and simple control framework for ROS.

European Machine Vision Association. (2019). GenICam. The Generic Interface for Cameras standard. Abgerufen von: https://www.emva.org/standards-technology/genicam/

Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T., Leibs, J., … Ng, A. Y. (2009). ROS: an open-source Robot Operating System. In ICRA workshop on open source software (Vol. 3, No. 3.2, p. 5).

Mohanarajah, G., Hunziker, D., D‘Andrea, R., Waibel, M. (2014). Rapyuta: A cloud robotics platform. IEEE Transactions on Automation Science and Engineering, 12(2), 481-493.

Bruyninckx, H. (2001). Open robot control software: the OROCOS project. In Proceedings 2001 ICRA. IEEE international conference on robotics and automation (Cat. No. 01CH37164) (Vol. 3, pp. 2523-2528). IEEE.

Schauwecker, K. (2015). SP1: Stereo Vision in Real Time. In: MuSRobS@ IROS (pp. 40-41).

Schauwecker, K. (2018, November). Real-Time Stereo Vision on FPGAs with SceneScan. In: Forum Bildverarbeitung 2018 (p. 339). KIT Scientific Publishing.

Georgia Institute of Technology, University of Washington, Open Source Robotics Foundation. (2019). DART. Dynamic Animation

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Published

2019-11-19

Issue

Section

Article / Peer Review

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