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Machine learning

Advances in Continuum Robot Control: A New Heuristic Algorithm

Strategic Insights

— 1 min read

Researchers at the Beijing Institute of Technology have made a significant breakthrough in controlling continuum robots, particularly cable-driven continuum robots (CDCRs), by developing a discrete elastic rod method based on discrete differential geometry. This new approach enables the accurate control of CDCRs, which is crucial for their application in various fields such as robotics, medical devices, and search and rescue operations. The proposed algorithm, guided by virtual constraint forces, is used to solve inverse kinematics efficiently and has been tested on a CDCR with impressive results, demonstrating a dynamic deviation of only 2.7% of its total length under acceleration and 6.2% when carrying a payload of 100g.

Key Takeaways:

  • The researchers used a discrete elastic rod method based on discrete differential geometry to establish the variable curvature kinematic model of a CDCR.
  • The proposed algorithm of optimal control guided by virtual constraint forces was used to solve inverse kinematics efficiently.
  • A closed-loop trajectory tracking controller based on the proposed algorithm was designed with high tracking precision.
  • The experimental results demonstrated that the dynamic deviation of the robot's free-end positions from the target ones under the condition of an acceleration 0.3 m/s^2 was only 2.7% of its total length.
  • The control error remained small at a tracking speed of 160 mm/s, even when the robot was carrying a payload of 100g.
  • The proposed force-guided heuristic algorithm provides a new way to construct effective dynamic controllers of continuum robots.
  • The researchers concluded that the proposed algorithm can be used for the control of CDCRs in various applications.

Statistics:

  • The dynamic deviation of the robot's free-end positions from the target ones under the condition of an acceleration 0.3 m/s^2 was 2.7% of its total length.
  • The dynamic deviation increased to 6.2% when the robot was carrying a payload of 100g.
  • The control error remained small at a tracking speed of 160 mm/s.
  • The research was funded by the National Natural Science Foundation of China (NSFC).
  • The research has been peer-reviewed.

Sources:

  • NewsRx. Report Summarizes Robotics Study Findings from Beijing Institute of Technology (Force-guided Heuristic Kinematics Control of a Continuum Robot With Variable Curvatures). Robotics & Machine Learning. July 7, 2025; p 515.
  • Luo, K., Liu, Y., Tian, Q., and Hu, H. (2025). Force-guided Heuristic Kinematics Control of a Continuum Robot With Variable Curvatures. Mechanism and Machine Theory, 209.

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