Design, Modeling and Optimal Control Strategy for an Under-Actuated Anthropomorphic Robotic Finger
Wonseok Jeon, Kyungchan Son, Jaegak Lee, Hyemi Jeong, Hyunseok Yang
- Year
- 2018
- Citations
- 2
Abstract
In this paper, we describe the design and optimal control strategy of an under-actuated, anthropomorphic robotic finger. A compliance element (silicon rubber skin) and series elastic actuators are incorporated in the design to reduce the number of actuators, and for robotic finger control. Manufacturing of the robotic finger is further simplified by the basic joint design and a 3D printing technique. The proposed metacarpophalangeal (MCP) joint structure allows flexion-extension and adduction-abduction motions of the robotic finger to be controlled easily and independently. However, due to the under-actuated system, and joint stiffness caused by the compliance element, the design is limited by inverse kinematics issues, preventing some of the desired joint angles from being achieved. We analyzed this problem and proposed an optimal control strategy to address this issue. Our experimental results showed that good performance of the optimal control strategy of the under-actuated anthropomorphic robotic finger prototype.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991