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Recently, the optimal motion planning problem has attracted a considerable amount of attention, giving rise to new algorithms like RRG, RRT* and PRM*. However, these algorithms have some difficulty in handling the high-dimensional situation like manipulation, which needs a large amount of samples to explore a huge configuration space. In this context, we present a novel incremental sampling-based...
Finding paths in difficult regions of C-space, such as narrow passages and configuration obstacle boundaries, is a rather challenging problem for path planning in changing environments. When obstacles move in W-space, these regions in C-space will change their edge points from free to collision or on the contrary, for which a “Capacitor” Bridge Builder (CBB) is proposed in this paper to identify their...
This paper presents a novel planner for manipulators and robots in changing environments. When environments are complicated, it's always difficult to find a completely valid path solution, which is essential for many methods. However, our planner searches for several path segments to make robot move towards its goal as much as possible even though such a complete solution doesn't exist currently....
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