Locomotion of Closed Loop Robot Using Stiffness Distribution Control
Takeshi Matsuda, Satoshi Murata
- 发表年份
- 2007
- 引用次数
- 7
- 访问权限
- 开放获取
摘要
This paper proposes a new method of locomotion control named “Stiffness Distribution Control (SDC) ” to realize various locomotion of a closed loop robot with mechanical softness on the ground. SDC directly defines a reference stiffness coefficient at each hinge by a SDC string, which represents distribution of stiffness coefficient. This simple method does not need costly calculation at all and thus is suitable for controlling closed loop robots. We build a closed loop robot “BIYOn” with newly designed variable stiffness hinges. SDC is experimented on the robot and effectiveness of SDC is verified in practice. A two-stage systematic optimization approach for SDC strings, which is composed of “hinge-wise optimization method” and “collective descent optimization method, ” is also developed to obtain efficient locomotions. The former is the method focused on functions of each hinge in desired locomotion, and the latter is to optimize the solutions based on local solutions ontained in the first stage. This approach does not require a large amount of computation to get global optimal SDC strings. By this approach, we succeed in obtaining a fast and smooth rolling motion and a sudden stopping motion.
关键词
相关论文
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