Motion Planning for Autonomous Climbing Stairs for Flipper Robot
Boxi Chen, Junsheng Wu, Feihong Wang, Yang De, Weijun Zhang
- 发表年份
- 2020
- 引用次数
- 9
摘要
This paper presents a new control strategy for track-flipper robot autonomous climbing stairs within indoor environment. Different from remote control operation, autonomous obstacle crossing of robot requires more complex motion planning, including feasibility analysis, attitude optimization and stability control. In order to analyze the obstacle-crossing capability of the robot, the kinematics modeling of the track-flipper robot is carried out, including the maximum height of climbing a single step and the capability to climb the stairs. On this basis, the motion planning of the robot for individual steps and stairs of different heights had been completed. Experiments on the robot’s self-climbing steps and stairs were also carried out, which verified the feasibility and rationality of the robot’s obstacle-crossing capability, obstacle-crossing stability and motion planning.
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