Practical Techniques Research on Climbing the Steep Slope of Quadruped Robots
Guanyang Guo, Hui Chai, Yibin Li, Xuewen Rong, Bin Li
- Year
- 2019
- Citations
- 3
Abstract
In this paper we propose a control framework based on intermittent crawl gait for quadruped robot climbing a steep ramp about 60 degrees. We first consider the structure of the robot to meet the requirements of the workspace on the slope. Secondly we discuss an attitude adjustment algorithm to maintain the projection point of center of mass (COM) in the support plane. Thirdly, the Normalized Energy Stability Margin (NESM) is utilized and improved to find the most stable body posture on the slope. Furthermore, we focus on the analysis of the effects of different gait sequences of crawling gait to find the most suitable one for the locomotion on steep slopes. In simulation, this controller allows the robot to perform significantly more dynamic behaviors while maintaining stability on a slope about 60 degrees.
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