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Bioinspired design and validation of a soft robotic end-effector with integrated shape memory alloy-driven suction
Weimian Zhou1,2, Chanchan Xu1,2, Guisong Chen1
1Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, People's Republic of China.
Bioinspiration & Biomimetics
|November 15, 2024
Summary
This study introduces a novel bioinspired soft robotic gripper with a shape memory alloy (SMA) suction cup for adaptive grasping in challenging environments. The integrated design enhances flexibility and manipulation capabilities for complex tasks.
Area of Science:
- Robotics
- Bioinspired Engineering
- Materials Science
Background:
- Traditional rigid grippers lack adaptability in unstructured environments.
- Bioinspired soft grippers offer enhanced flexibility for varied object shapes.
- Underwater salvage operations require advanced manipulation capabilities.
Purpose of the Study:
- To present a novel bioinspired soft robotic gripper with an SMA-actuated suction cup.
- To integrate a tendon-driven composite arm with SMA suction for adaptive grasping.
- To model and experimentally validate the gripper's performance for complex tasks.
Main Methods:
- Design of a tendon-driven composite arm for precise bending.
- Integration of a shape memory alloy (SMA) actuated suction cup.
- Development of kinematic and static models to predict arm deflection and suction force.
- Experimental validation of the integrated gripper design.
Main Results:
- The novel gripper demonstrates enhanced flexibility and adaptive grasping capabilities.
- Kinematic and static models accurately predict gripper performance.
- Experimental validation confirms the efficacy of the integrated bioinspired design.
- The SMA-actuated suction cup provides a compact and efficient mechanism.
Conclusions:
- The bioinspired soft robotic gripper shows significant potential for advanced manipulation in challenging environments.
- Integration of bioinspired design principles with smart materials offers new avenues for adaptive robotic systems.
- This work paves the way for future innovations in robotic grasping and manipulation.

