Planning, geometry, and complexity of robot motion
Planning, geometry, and complexity of robot motion
The complexity of robot motion planning
The complexity of robot motion planning
OBPRM: an obstacle-based PRM for 3D workspaces
WAFR '98 Proceedings of the third workshop on the algorithmic foundations of robotics on Robotics : the algorithmic perspective: the algorithmic perspective
Robot Motion Planning
Spatial Planning: A Configuration Space Approach
IEEE Transactions on Computers
Reachable Distance Space: Efficient Sampling-Based Planning for Spatially Constrained Systems
International Journal of Robotics Research
Randomized path planning on manifolds based on higher-dimensional continuation
International Journal of Robotics Research
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The paper reports studies on the motion planning problem for planar star-shaped manipulators. These manipulators are formed by joining k “legs” to a common point (like the thorax of an insect) and then fixing the “feet” to the ground. The result is a planar parallel manipulator with k - 1 independent closed loops. A topological analysis is used to understand the global structure of the configuration space so that the planning problem can be solved exactly. The worst-case complexity of the algorithm is O(k3 N 3), where N is the maximum number of links in a leg. Examples illustrating the method are given.