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Published on: November 14, 2015
A magneto-elastic model for soft magnetic concentric tube robots
Peter Lloyd1, Joshua Davy1, Yael L May1
1Storm Lab, School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.
This study introduces a novel soft, magnetically actuated continuum robot using magnetic rings for deformation. This design overcomes limitations of traditional robots and shows accurate experimental validation for applications in sensitive environments.
Area of Science:
- Robotics
- Materials Science
- Biomedical Engineering
Background:
- Conventional concentric tube robots face limitations due to material stiffness and instability.
- Existing designs rely on pre-curved elastic energy storage for actuation.
- Soft robotic systems require novel actuation methods for complex environments.
Purpose of the Study:
- To present a numerical solution for a reduced-order analytical energy formulation of a soft, magnetically actuated concentric tube continuum robot.
- To introduce a new design using softly magnetic rings for direct deformation generation.
- To enable new classes of highly compliant robotic systems for constrained environments.
Main Methods:
- Derivation of a complete magneto-elastic formulation coupling magnetic torque and sleeve curvature.
- Utilizing softly magnetic rings adhered to braided sleeves for actuation.
- Experimental validation using a 7T pre-clinical MRI scanner.
Main Results:
- The model accurately captures mechanical hysteresis, bistability, and nonlinear tip pose relationships.
- Experimental results show strong agreement with simulated deformation, with an overall RMS error of 4.4°.
- The proposed design principle is applicable to magnetic fields above 1T.
Conclusions:
- The developed framework supports closed-loop control, design optimization, and self-sensing capabilities.
- This innovation facilitates the development of highly compliant soft continuum robots.
- The magnetic actuation approach offers a promising alternative for delicate medical procedures and constrained environments.
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