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3D Printed Multi-Cavity Soft Actuator with Integrated Motion and Sensing Functionalities via Bio-Inspired
Zhonggui Fang1, Shaowu Tang1, Yinyin Su2
1Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|November 26, 2024
Summary
Researchers developed a novel multicavity functional integration (McFI) approach for soft pneumatic actuators. This innovation enables simultaneous multidimensional motion and sensing, inspired by human muscle bundles, for advanced robotic applications.
Area of Science:
- Robotics
- Materials Science
- Biomimetics
Background:
- Human muscles achieve complex tasks through integrated motion and sensing.
- Existing soft actuators often have complex structures for simultaneous sensing and motion.
- Discrepant deformations arise from integrating sensing components with heterogeneous stiffness in soft actuators.
Purpose of the Study:
- To propose a multicavity functional integration (McFI) approach for soft pneumatic actuators.
- To achieve simultaneous multidimensional motion and sensing in a single soft actuator.
- To overcome the structural complexity and deformation discrepancies of current soft actuators.
Main Methods:
- Inspired by muscle-bundle multifiber mechanisms, a multicavity design was developed.
- A bio-inspired interweaving foldable endomysium (BIFE) was used for single-material 3D printing.
- Kinematic and sensing models based on multi-cavity pressures were established.
Main Results:
- The McFI actuator demonstrated elongation, contraction, and bidirectional bending.
- The actuator successfully sensed its spatial position, orientation, and axial force.
- Two robots, a soft crawling robot and a soft gripper, were successfully built and tested.
Conclusions:
- The McFI approach offers a practical solution for integrated motion and sensing in soft actuators.
- This method enables 3D printing of single-material soft actuators with complex functionalities.
- The McFI approach shows significant potential for intelligent soft robotic innovation.

