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Multimodal Deformation in Tensegrity Manipulators: Preprogrammable Bend-Twist Modules for Dexterous Grasping Inspired
Yanghui Chen1, Jiafu Liu1, Jiahui Luo1
1School of Aeronautics and Astronautics, Sun Yat-Sen University, Shenzhen, P.R. China.
This study introduces a novel modular tensegrity-based continuum manipulator (TCM) inspired by elephant trunks. This design simplifies control for dexterous manipulation tasks in unstructured environments.
Area of Science:
- Robotics and Mechanical Engineering
- Soft Robotics and Continuum Manipulation
Background:
- Tensegrity-based continuum manipulators (TCMs) offer adaptive conforming capabilities for unstructured environments.
- Actuation redundancy in TCMs complicates dexterous manipulation control.
- Existing designs require significant effort to resolve coupling effects between rigid and flexible components.
Purpose of the Study:
- To propose a modular TCM with enhanced segmented actuation for simplified control.
- To enable decoupled bending and twisting motions for multimodal deformation.
- To reduce control complexity in continuum manipulator systems.
Main Methods:
- Development of preprogrammable bend-twist modules (PBTMs) with enhanced segmented actuation.
- Design of a preprogramming template for in situ twisting capabilities.
- Derivation of a dynamic model using natural coordinates and clustered cable (CTC) elements.
Main Results:
- The enhanced actuation strategy effectively decouples adjacent segments and separates curvature/directional control.
- Numerical analysis revealed the effect of CTC rest length on cable slack and in situ twist motion.
- A prototype manipulator demonstrated versatile multimodal deformation for object wrapping and obstacle avoidance.
Conclusions:
- The proposed modular TCM with PBTMs offers a feasible paradigm for reduced control complexity.
- The design enables simplified mechanical integration and control implementation for continuum manipulators.
- The manipulator's ability to conform to objects of varying shape and pose was experimentally validated.
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