Skip to main content

Smooth Composite-Space RRT: An Improved Motion Planner for Manipulators Under Incomplete Orientation Constraint

  • Conference paper
  • First Online:
Intelligent Robotics and Applications (ICIRA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14270))

Included in the following conference series:

  • 462 Accesses

Abstract

The incomplete orientation constraint (IOC), which is not necessary to require an end-effector motion constrained by all three spatial directions, exists widely in practical manipulation tasks. For example, when moving a container of liquid from one place to another, we can rotate the container horizontally or tilt it slightly if it is not full. In our previous work [1], a Composite-space RRT algorithm is presented to solve such a problem for spherical wrist manipulators that plans collision-free paths in the composite space. However, the planned path exhibits shaking or ripple like fluctuations, which will lead to shaking at the robot’s end-effector tool and bad performance of the task. In this paper, we propose a Smooth Composite-space RRT algorithm that combines the Composite-space RRT algorithm with B-spline interpolation method to improve the smoothness of the orientation path. And we demonstrate the effectiveness of our approach on the Willow Garage’s PR2 simulation platform in Robot Operating System (ROS) with two IOC cases.

This Research Supported by China Postdoctoral Project (No. 2021M692960); Center-initiated Research Project of Zhejiang Lab (No.2021NB0AL01); Science and Technology on Space Intelligent Control Laboratory (No. K2022EA2KE01).

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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. Wang, J., Liu, S., Zhang, B., Yu, C.: Manipulation planning with soft constraints by randomized exploration of the composite configuration space. Int. J. Control Autom. Syst. 19(3), 1340–1351 (2021). https://doi.org/10.1007/s12555-019-0727-8

    Article  Google Scholar 

  2. Li, G., Song, D., Xu, S., et al.: On perpendicular curve-based model-less control considering incomplete orientation constraint. IEEE/ASME Trans. Mechatron. 26(3), 1479–1489 (2021)

    Article  Google Scholar 

  3. Li, G., Xu, S., Song, D., et al.: On perpendicular curve-based task space trajectory tracking control with incomplete orientation constraint. IEEE Trans. Autom. Sci. Eng. 20(2), 1244–1261 (2023)

    Article  Google Scholar 

  4. Huo, L., Baron, L.: The joint-limits and singularity avoidance in robotic welding. Indus. Rob. Inter. J. 35(5), 456–464 (2008)

    Article  Google Scholar 

  5. Huo, L., Baron, L.: The self-adaptation of weights for joint-limits and singularity avoidances of functionally redundant robotic-task. Rob. Comput.-Integ. Manuf. 27(2), 367–376 (2011)

    Article  Google Scholar 

  6. Sekimoto, M., Arimoto, S.: Experimental study on reaching movements of robot arms with redundant dofs based upon virtual spring-damper hypothesis. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China, pp. 562–567 (2006)

    Google Scholar 

  7. Zlajpah, L.: On orientation control of functional redundant robots. In: IEEE International Conference on Robotics and Automation (ICRA), Singapore, pp. 2475–2482 (2017)

    Google Scholar 

  8. Milton, C., Jennings, D.: Path planning for a manipulator with constraints on orientation. J. Intell. Rob. Syst. 11(1–2), 67–77 (1994)

    Article  MATH  Google Scholar 

  9. Kingston, Z., Moll, M., Kavraki, L.E.: Sampling-based methods for motion planning with constraints. Annual Rev. Control Rob. Auton. Syst. 1, 159–185 (2018)

    Article  Google Scholar 

  10. Lavalle, S.M.: Planning Algorithms. Cambridge University Press, England (2006)

    Book  MATH  Google Scholar 

  11. Stilman, M.: Task constrained motion planning in robot joint space. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, pp. 3074–3081 (2007)

    Google Scholar 

  12. Kunz, T., Stilman, M.: Manipulation planning with soft task constraints. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura-Algarve, Portugal, pp. 1937–1942 (2012)

    Google Scholar 

  13. Bonilla, M., Farnioli, E., Pallottino L., Bicchi, A.: Sample-based motion planning for robot manipulators with closed kinematic chains. In: IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, pp. 2522–2527 (2015)

    Google Scholar 

  14. Cohen, B., Chitta, S., Likhachev, M.: Search-based planning for dual-arm manipulation with upright orientation constraints. In: IEEE International Conference on Robotics and Automation (ICRA), Saint Paul, MN, USA, pp. 3784–3790 (2012)

    Google Scholar 

  15. Shoemake, K.: Animating rotation with quaternion curves. In: Proceedings of the 12th Annual Conference on Computer Graphics and Interactive Techniques, San Francisco, California, USA, pp. 245–254 (1985)

    Google Scholar 

  16. Sucan, I.A., Moll, M., Kavraki, L.E.: The open motion planning library. IEEE Robot. Autom. Mag. 19(4), 72–82 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiangping Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, J., Li, N., Song, W., Du, W., Chen, W. (2023). Smooth Composite-Space RRT: An Improved Motion Planner for Manipulators Under Incomplete Orientation Constraint. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14270. Springer, Singapore. https://doi.org/10.1007/978-981-99-6492-5_42

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-6492-5_42

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6491-8

  • Online ISBN: 978-981-99-6492-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics