Multi-Segment Extendable Soft Manipulator Driven by a Pneumatic–Tendon Coupling Mechanism
Continuum robots have garnered significant attention for their high flexibility and adaptability to complex environments. However, achieving the same level of high-precision control as rigid robots remains a significant challenge. This paper introduces an innovative Multi-Segment Extendable Soft Manipulator (MSESM) that employs a pneumatic-tendon hybrid drive mechanism. The design, utilizing off-the-shelf industrial bellows and 3D-printed components, allows the manipulator to achieve an extension ratio of up to 156.85%. By adopting a differential stiffness design, its bending stiffness was increased by approximately 4-5 times, its axial stiffness was increased by approximately 10 times, and its torsional resistance was enhanced, preventing inter-segment coupling during motion. At the control level, this paper proposes a hybrid control method that integrates a Constant Curvature (CC) physical prior with a data-driven neural network. Experimental results show that in tracking rectangular, triangular, and circular trajectories, this hybrid method reduced the average tracking error by 60.43% compared to a purely neural network-based controller, with the error reduction for the rectangular trajectory reaching 74.19%. This research validates a practical and effective approach for creating soft manipulators that successfully merge high flexibility with high-precision control.
Authors
- Yunquan Li (ORCID: https://orcid.org/0000-0003-3386-0608)
- Hongxi Yang (ORCID: https://orcid.org/0000-0002-0551-0216)
- Zeyu Zhong (ORCID: https://orcid.org/0009-0005-9967-4244)
- Ye Chen (ORCID: https://orcid.org/0000-0002-0664-665X)
- Junxi Zhou
- Zhicheng Ling
- Zhiyan Chen (ORCID: https://orcid.org/0000-0002-0192-418X)
- Yufeng Zeng (ORCID: https://orcid.org/0009-0007-9856-5980)
Institutions
- South China University of Technology (CN)
Publication Details
- Journal
- Biomimetics
- Published
- 2025-09-23
- DOI
- https://doi.org/10.3390/biomimetics10100643
- Citations
- 1
- Primary Topic
- Soft Robotics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.67