DEVELOPMENT OF A SCALABLE SOFT FINGER GRIPPER FOR SOFT ROBOTS
Armin Jamali, Robert Knoerlein, Frank Goldschmidtboeing, Peter Woias
- Year
- 2022
- Citations
- 4
- Access
- Open access
Abstract
Soft robotics is vastly drawing attention, especially concerning their unique characteristics. Soft robots could be used to enhance motion as a soft exoskeleton, as soft prosthetics, or function as grippers for lifting objects. A challenge to the fabrication and actuation of conventional Dielectric Elastomer Actuators (DEAs) is that they require a pre-stretch over an external rigid frame. Moreover, the external rigid frame can hardly bend, causing the actuation to be limited to planar. In this research, we characterized a silicone-based elastomer electrically and mechanically as a substitute for conventional elastomers. Then, we developed a fabrication process and implemented a backbone structure to achieve soft and scalable finger grippers capable of lifting and holding arbitrary objects without needing an external frame.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002