Energy-Efficient Dynamic Motion Planning of Quadruped Robots via Whole-body Nonlinear Trajectory Optimization
Qi Li, Letian Qian, Peng Sun, Xin Luo
- 发表年份
- 2022
- 引用次数
- 3
摘要
Energy-efficient locomotion is an important capability for quadruped robots. Most of existing physically-embodied robots do not have satisfactory energy-efficiency in spite of abilities of diverse gaits and negotiation of complex environments. In this paper, we present a whole-body nonlinear trajectory optimization framework for energy-efficient motion planning of quadruped robots, in which whole-body dynamic model of robot is enforced as dynamic constraints in the optimization, and mechanical actuator work is directly penalized in the cost function. The results presented show the potential of the optimization framework for effectively gait motion generation while optimizing the energy consumption and conforming the dynamics of the robot.
关键词
相关论文
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