Skip to main content

Distributed Position-Force Control for Cooperative Transportation with Multiple Mobile Manipulators

  • Conference paper
  • First Online:
Advances in Swarm Intelligence (ICSI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12690))

Included in the following conference series:

Abstract

This paper presents a distributed position-force control framework for multiple mobile manipulators in charge of achieving a tightly cooperative transportation task. Since the effect of each robot is different in the whole system, a three-layer control framework is designed. For the first layer, mobile bases run distributed observer which uses global states. At the second layer, the position deviation is adopted to improve the accuracy of general manipulators. Then, position control works in combination with force to ensure that the most important manipulator achieves cooperative transportation accurately and compliantly. The designed controller is extensible, which suits not only for pure transportation tasks but can also be exploited in those cases where a closed kinematic chain is generated by multi-robots manipulations. An analysis of the proposed controller is validated by simulation with three UR5 manipulators mounted on differential driven mobile bases separately.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Tallamraju R., Salunkhe D., Rajappa S.: Motion planning for multi-mobile-manipulator payload transport systems. In: 15th International Conference on Automation Science and Engineering (CASE), 22–26 August, Vancouver, Canada, pp. 1469–1474 (2019)

    Google Scholar 

  2. Bella, S., Belbachir, A., Belalem, G.: A hybrid air-sea cooperative approach combined with a swarm trajectory planning method. J. Behav. Robot. 11(1), 118–139 (2020)

    Article  Google Scholar 

  3. Thakar, S., Fang, L., Shah, B.: Towards time-optimal trajectory planning for pick-and-transport operation with a mobile manipulator. In: 2018 IEEE 14th International Conference on Automation Science and Engineering(CASE), 20–24 August, Munich, Germany, pp. 981–987 (2018)

    Google Scholar 

  4. Menon, A., Cohen, B., Likhachev, M.: Motion planning for smooth pickup of moving objects. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), 20–24 August, Munich, Germany, pp. 981–987 (2018)

    Google Scholar 

  5. Jiao, J., Gao, Z.: Transportation by multiple mobile manipulators in unknown environments with obstacles. IEEE Syst. J. 11(5), 2894–2904 (2017)

    Article  MathSciNet  Google Scholar 

  6. Nascimento, T.: Multi-robot nonlinear model predictive formation control: the obstacle avoidance problem. Robotica 34(3), 307–321 (2016)

    Article  Google Scholar 

  7. Navarro, B., Cherubini, A., Fonte, A.: A framework for intuitive collaboration with a mobile manipulator. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 24–28 September, Vancouver, Canada, pp. 6293–6298 (2017)

    Google Scholar 

  8. Han, H., Park, J.: Robot control near singularity and joint limit using a continuous task transition. Int. J. Adv. Rob. Syst. 10(10), 346–357 (2013)

    Article  Google Scholar 

  9. Caccavale, F., Chiacchio, P., Marino, A., Villani, L.: Six-DOF impedance control of dual-arm cooperative manipulators. IEEE/ASME Trans. Mechatron. 13(5), 576–586 (2008)

    Article  Google Scholar 

  10. Li, Z., Chen, W., Luo, J.: Adaptive compliant force-motion control of coordinated non-holonomic mobile manipulators interacting with unknown non-rigid environments. Neurocomputing 71(9), 1330–1344 (2016)

    Article  Google Scholar 

  11. Kebria, P., Al-Wais, S., Abdi, H.: Kinematic and dynamic modelling of UR5 manipulator. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 9–12 October, Budapest, Hungary, pp. 452–457 (2016)

    Google Scholar 

  12. Donner, P., Endo, S., Buss, M.: Physically plausible wrench decomposition for multi-effector object manipulation. IEEE Trans. Rob. 34(4), 1053–1067 (2018)

    Article  Google Scholar 

Download references

Acknowledgement

This work is supported by the projects of National Natural Science Foundation of China (No. 61873192; No. 61603277; No. 61733001), the Quick Support Project (No. 61403110321), and Innovative Project No. 20-163-00-TS-009-125-01). Meanwhile, this work is also partially supported by the Fundamental Research Funds for the Central Universities and the Youth 1000 program project. It is also partially sponsored by International Joint Project Between Shanghai of China and Baden-Württemberg of Germany (No. 19510711100) within Shanghai Science and Technology Innovation Plan, as well as the projects supported by China Academy of Space Technology and Launch Vehicle Technology. All these supports are highly appreciated.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Zheng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, P., Zheng, J., Zhang, J., Zhang, K., Cui, Y., Tang, Q. (2021). Distributed Position-Force Control for Cooperative Transportation with Multiple Mobile Manipulators. In: Tan, Y., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2021. Lecture Notes in Computer Science(), vol 12690. Springer, Cham. https://doi.org/10.1007/978-3-030-78811-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-78811-7_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78810-0

  • Online ISBN: 978-3-030-78811-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics