Optimal Trajectory Generation for Car-type Mobile Robot using Spline Interpolation∗∗This work is carried out under the research project grant sanctioned under the WOS-A scheme by Department of Science and Technology (DST), Govt. of India.
Rahee Walambe, Nipun Agarwal, Swagatu Kale, Vrunda Joshi
- 发表年份
- 2016
- 引用次数
- 39
摘要
This paper focuses on the spline based trajectory generation and motion planning in a 1:10 scale down prototype of a car. The car type vehicle can be modelled as a nonholonomic system with constraints on sideways movement. The spline based trajectory generation gives us continuous, smooth and optimized path trajectories. The motion planning algorithm is based on the nonholonomic model of a car-type robot which is differentially flat in nature. Our contribution lies in the development of spline based trajectories which overcome the parametric singularities arising from the differential flatness based approach. The spline trajectories also take care of the singularities which are otherwise observed in the optimization process if the cubic polynomial based interpolation is implemented. The hardware implementation for a prototype of a car type model is also presented. Using the concept of differential flatness, we derive control inputs which steer the vehicle along this trajectory.
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