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Shape-Adaptive Robotics: Programmable Morphing through SMA and SMP Integration.

Qianyi Chen1,2, Ruochen Wu2, Xinhai Zhou2

  • 1School of Mechanical Engineering, , Southwest Jiaotong University, Chengdu, 610031, China.

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Summary
This summary is machine-generated.

This study introduces a new control strategy for shape memory actuators in soft robotics. It enables precise control over shape adaptation and stiffness variation using shape memory alloys and polymers for advanced robotic applications.

Keywords:
cotrainingprogramming morphing structureshape memory alloyshape memory polymersoft roboticsthermal integration system

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Area of Science:

  • Robotics
  • Materials Science
  • Control Systems

Background:

  • Soft robotics utilize shape memory alloys (SMAs) and shape memory polymers (SMPs) for adaptable actuators.
  • Integrating multiple shape memory materials presents challenges in controlling complex deformations and stiffness variations.

Purpose of the Study:

  • To propose an integrated control strategy for SMA-SMP based programmable morphing structures as soft robotic actuators.
  • To achieve controllable shape adaptation, programmed deformation, and dynamic stiffness variation.

Main Methods:

  • Developed a multi-target thermal sensing method (MTTSM) for precise control of programming deformations and stiffness.
  • Integrated MTTSM into an interaction-driven control framework for coordinated actuation of SMA springs and SMP structure.
  • Implemented a co-training-based monitoring system with multisensor fusion for dynamic state estimation.

Main Results:

  • Achieved coordinated actuation enabling preheating standby, programmed deformations, and dynamic stiffness changes.
  • Enabled dynamic monitoring of deformed states through multisensor fusion for position estimation.
  • Demonstrated effective control over SMA-SMP based morphing structures.

Conclusions:

  • The proposed integrated control strategy using MTTSM and a co-training monitoring system provides a viable solution for smart actuators in soft robotics.
  • This approach facilitates the integration of multiple shape memory materials into morphing structures for advanced robotic applications.
  • Offers precise control and dynamic monitoring capabilities for complex shape adaptation and stiffness variation.