Motion Planning for Point-to-Point Navigation of Spherical Robot Using Position Feedback
Vikranth Dwaracherla, Shantanu Thakar, Leena Vachhani, Abhishek Gupta, Aayush Yadav, Sahil Modi
- 发表年份
- 2019
- 引用次数
- 21
摘要
Nonlinear dynamics, slip, and irregularities in the surface or the spherical hull are the major factors for errors in the spherical robot system model. We attempt a controller design based on the experimental observations on spherical robot motion and identify the primitive motions that are reliable. The objective of the controller is to use these primitive motions and position feedback to guarantee convergence to the destination position. It is shown that the robot converges to a bounded region at the destination, when the modeling and measurement errors are bounded. The control law is applied to the navigation of a pendulum type spherical robot. The proposed navigation technique is not specific to the nonlinear spherical robot model and gives advantage by using limited control commands. Experiments in indoor and outdoor settings support the theory presented in this work. Experiments also show that the proposed controller rejects disturbances due to imperfect fabrication and contact surfaces with changing frictional properties. In particular, the robot navigates to the vicinity of the destination within a known range.
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