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Mobility Transition Control of a Reconfigurable Mobile Manipulator Torso

  • Jorge De La CruzEmail author
  • Wan Ding
  • Mathias Huesing
  • Burkhard Corves
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 73)

Abstract

A Mobility Transition Control (MTC) is proposed to drive a novel 2-RER reconfigurable parallel mechanism (ReConBot) that contains two metamorphic chains with up to 12 operational modes. The control strategy necessary to drive the ReConBot represents a control challenge because of its variable mobility and reconfigurable architecture. The MTC algorithm is developed in a way that it is able to manage the twelve transition mobility states during a trajectory execution. The MTC algorithm is capable of adjusting its structure as well as the different parameters of the controller by itself to fulfill the control requirement abilities which result from the trajectory planning procedure. Finally, an experiment that makes the ReConBot going through 3 different operational modes is performed.

Keywords

Parallel Robot reconfigurable robot Mobility Transition Control Torso 

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Notes

Acknowledgment

We thank Sino-German (CSC-DAAD) Postdoc Scholarship Program 2014 and also IGMR, RWTH Aachen University for supporting the authors. The author also would like to thank the support of the National Boreau for Science and Technology of the Republic of Panama (SENACYT).

References

  1. 1.
  2. 2.
  3. 3.
    T. Atwood and J. K. VECNA’s Battlefield Extraction-Assist Robot BEAR. Robot (magazine), 2010.Google Scholar
  4. 4.
    Roger Bostelman, Tsai Hong, and Jeremy Marvel. Survey of Research for Performance Measurement of Mobile Manipulators. 121, 2016.Google Scholar
  5. 5.
    Daniele Cafolla and Marco Ceccarelli. Design and FEM Analysis of a Novel Humanoid Torso. pages 477-488. Springer, Cham, 2015.Google Scholar
  6. 6.
    Daniele Cafolla and Marco Ceccarelli. Design and Simulation of a Cable-Driven Vertebra-Based Humanoid Torso. International Journal of Humanoid Robotics, 13(04):1650015, dec 2016.Google Scholar
  7. 7.
    Daniele Cafolla and Marco Ceccarelli. An experimental validation of a novel humanoid torso. Robotics and Autonomous Systems, 91:299-313, may 2017.Google Scholar
  8. 8.
    Daniele Cafolla, I. Ming Chen, and Marco Ceccarelli. An experimental characterization of human torso motion. Frontiers of Mechanical Engineering, 10(4):311-325, 2015.CrossRefGoogle Scholar
  9. 9.
    Marco Ceccarelli. LARM PKM solutions for torso design in humanoid robots. Frontiers of Mechanical Engineering, 9(4):308-316, 2014.CrossRefGoogle Scholar
  10. 10.
    Alexander Dietrich. Whole-Body Impedance Control of Wheeled Humanoid Robots, volume 116 of Springer Tracts in Advanced Robotics. Technische Universität München, Technische Universität München, 2015.Google Scholar
  11. 11.
    W Ding, T Detert, J De La Cruz, and B Corves. Reconfiguration Analysis and Motion Planning of a Novel Reconfigurable Mobile Manipulator Torso. In 2018 IEEE International Conference on Robotics and Automation (ICRA), pages 6961-6966, may 2018.Google Scholar
  12. 12.
    Wan Ding, Tim Detert, Burkhard Corves, and Y.A Yao. Reconbot: A Reconfigurable Rescue Robot Composed of Serial-Parallel Hybrid Upper Humanoid Body and Track Mobile Platform. New Advances in Mechanisms, Mechanical Transmis-sions and Robotics, pages 241-249, 2017.Google Scholar
  13. 13.
    Erico Guizzo. Meka Robotics Announces Mobile Manipulator With Kinect and ROS. https://spectrum.ieee.org/automaton/robotics/humanoids/meka-robotics-announces-mobile-manipulator-with-kinect-and-ros, 2011.
  14. 14.
    G F Liu, Y L Wu, X Z Wu, Y Y Kuen, and Z X Li. Analysis and control of redundant parallel manipulators. Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on, 4:3748-3754 vol.4, 2001.Google Scholar
  15. 15.
    Ikuo Mizuuchi, Yuto Nakanishi, Yoshinao Sodeyama, Yuta Namiki, Tamaki Nishino, Naoya Muramatsu, Junichi Urata, Kazuo Hongo, Tomoaki Yoshikai, and Masayuki Inaba. An advanced musculoskeletal humanoid Kojiro. In 2007 7th IEEE-RAS International Conference on Humanoid Robots, pages 294-299. IEEE, nov 2007.Google Scholar
  16. 16.
    Yoshihiko Nakamura and Hideo Hanafusa. Inverse Kinematic Solutions With Singularity Robustness for Robot Manipulator Control. Journal of Dynamic Systems, Measurement, and Control, 108(3):163, sep 1986.CrossRefGoogle Scholar
  17. 17.
    L. Roos, F. Guenter, A. Guignard, and A.G. Billard. Design of a Biomimetic Spine for the Humanoid Robot Robota. In The First IEEE/RAS-EMBS Inter-national Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006., pages 329-334. IEEE, 2006.Google Scholar
  18. 18.
    Max Schwarz, Tobias Rodehutskors, David Droeschel, Marius Beul, and Michael Schreiber. NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momaro. Field Robotics, pages 400-425, 2017.Google Scholar
  19. 19.
    Jun Wu, Jinsong Wang, Liping Wang, and Tiemin Li. Dynamics and control of a planar 3-DOF parallel manipulator with actuation redundancy. Mechanism and Machine Theory, 44(4):835-849, apr 2009.CrossRefGoogle Scholar
  20. 20.
    Liping Zhang, Delun Wang, and Jian S. Dai. Biological Modeling and Evolution Based Synthesis of Metamorphic Mechanisms. Journal of Mechanical Design, 130(7):072303, jul 2008.CrossRefGoogle Scholar
  21. 21.
    Dimiter Zlatanov, Ilian A. Bonev, and Clément M. Gosselin. Constraint singularities as C-space singularities. Advances in Robot Kinematics, pages 183-192, 2002.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jorge De La Cruz
    • 1
    Email author
  • Wan Ding
    • 1
  • Mathias Huesing
    • 1
  • Burkhard Corves
    • 1
  1. 1.Institute of Mechanism Theory, Machine Dynamics and RoboticsAachenGermany

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