1. Volumetrically Enhanced Soft Actuator With Proprioceptive Sensing
- Author
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Weijie Guo, Chaoyang Song, Baiyue Wang, Yi Hongdong, Shihao Feng, and Fang Wan
- Subjects
0209 industrial biotechnology ,Control and Optimization ,Computer science ,Mechanical Engineering ,Soft actuator ,Biomedical Engineering ,Soft robotics ,02 engineering and technology ,Design strategy ,021001 nanoscience & nanotechnology ,Displacement (vector) ,Computer Science Applications ,Computer Science::Robotics ,Human-Computer Interaction ,Form factor (design) ,020901 industrial engineering & automation ,Artificial Intelligence ,Control and Systems Engineering ,Torque ,Robot ,Computer Vision and Pattern Recognition ,0210 nano-technology ,Actuator ,Simulation - Abstract
Soft robots often show a superior power-to-weight ratio using highly compliant, light-weight material, which leverages various bio-inspired body designs to generate desirable deformations for life-like motions. In this letter, given that most material used for soft robots is light-weight in general, we propose a volumetrically enhanced design strategy for soft robots, providing a novel design guideline to govern the form factor of soft robots. We present the design, modeling, and optimization of a volumetrically enhanced soft actuator (VESA) with linear and rotary motions, respectively, achieving superior force and torque output, linear and rotary displacement, and overall extension ratio per unit volume. We further explored VESA's proprioceptive sensing capability by validating the output force and torque through analytical modeling and experimental verification. Our results show that the volumetric metrics hold the potential to be used as a practical design guideline to optimize soft robots’ engineering performance
- Published
- 2021