CMAC-based dynamic-balancing design for humanoid robot
Chih‐Min Lin, Chih‐Hsuan Chen, Ming-Hung Lin, Jia-Jung Chang
- 发表年份
- 2010
- 引用次数
- 3
摘要
This paper designs and implements an intelligent control system for autonomous humanoid robot to achieve the dynamic balancing control by using a Cerebellar Model Articulation Controller (CMAC) and based on system on a programmable chip (SOPC) technology. The inertial navigation system (INS) including gyroscopes and accelerometers is used to measure the attitude of humanoid robot and acceleration for modifying the dynamic stability by applying the proposed CMAC-based dynamic balancing control. Multiprocessors are designed for the benefit of increasing control performance. Finally, experimental results show that the developed system can achieve satisfactory dynamic balancing control performance for humanoid robot.
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