An Efficient Random Walk Strategy for Sampling Based Robot Motion Planners

@inproceedings{Bera2010AnER,
  title={An Efficient Random Walk Strategy for Sampling Based Robot Motion Planners},
  author={Titas Bera and M. Seetharama Bhat and Debasish Ghose},
  booktitle={FIRA},
  year={2010}
}
Sampling based planners have been successful in path planning of robots with many degrees of freedom, but still remains ineffective when the configuration space has a narrow passage. We present a new technique based on a random walk strategy to generate samples in narrow regions quickly, thus improving efficiency of Probabilistic Roadmap Planners. The algorithm substantially reduces instances of collision checking and thereby decreases computational time. The method is powerful even for cases… 
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References

SHOWING 1-10 OF 16 REFERENCES
Preprocessing of Configuration Space for Improved Sampling Based Path Planning
TLDR
Two new techniques of preprocessing the configuration space are presented, one of which uses a random walk strategy to generate samples in narrow regions quickly, thus improving theiciency of Probabilistic Roadmap (PRM) based planners and the other improves the performance of Rapidly Exploring Random Tree (RRT) like planners.
The Gaussian sampling strategy for probabilistic roadmap planners
TLDR
This paper presents a new, simple sampling strategy, which it is called the Gaussian sampler, that gives a much better coverage of the difficult parts of the free configuration space.
Narrow passage sampling for probabilistic roadmap planning
TLDR
Experiments show that the hybrid sampling strategy enables relatively small roadmaps to reliably capture the connectivity of configuration spaces with difficult narrow passages.
OBPRM: an obstacle-based PRM for 3D workspaces
TLDR
This paper presents a new class of randomized path planning methods, known as Probabilistic Roadmap Methods (prms), which use randomization to construct a graph of representative paths in C-space whose vertices correspond to collision-free con gurations of the robot.
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
TLDR
Experimental results show that path planning can be done in a fraction of a second on a contemporary workstation (/spl ap/150 MIPS), after learning for relatively short periods of time (a few dozen seconds).
Probabilistic Roadmaps for Path Planning in High-Dimensional Configuration Spaces
TLDR
Experimental results show that the proposed roadmap method can eeciently solve problems which are beyond the capabilities of other existing methods.
Motion planning for a rigid body using random networks on the medial axis of the free space
TLDR
Details of the MAPRM algorithm are given, and it is shown that the retraction may be carried out without explicitly computing the C-obstacles or the medial axis, and the performance is compared to uniform random sampling from the free space.
Principles of Robot Motion: Theory, Algorithms, and Implementations [Book Review]
TLDR
This text reflects the great advances that have taken place in the last ten years in robotics, including sensor-based planning, probabalistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems.
Randomized Motion Planning: a Tutorial
TLDR
The paper reviews some of the most influential proposals and ideas in algorithmic techniques, providing indications on their practical and theoretical implications.
Complexity of the mover's problem and generalizations
  • J. Reif
  • Mathematics
    20th Annual Symposium on Foundations of Computer Science (sfcs 1979)
  • 1979
This paper concerns the problem of moving a polyhedron through Euclidean space while avoiding polyhedral obstacles.
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