Cubic Bézier Local Path Planner for Non-holonomic Feasible and Comfortable Path Generation
Guillaume Vailland,Valérie Gouranton,Marie Babel,Guillaume Vailland,Valérie Gouranton,Marie Babel
In the case of non-holonomic robot navigation, path planning algorithms such as Rapidly-exploring Random Tree (RRT) rarely provide feasible and smooth paths without the need of additional processing. Furthermore, in a transport context like power wheelchair navigation, passenger comfort should be a priority and influence path planning strategy. In this paper, we propose a local path planner which ...
