Building up high quality roadmap using vertex classification based incremental path planner
Keywords:
robot path planning, quality of roadmap, incremental path planning, region classificationAbstract
Poor quality roadmaps can lead to in-optimal paths and lengthy path planning processes. Incremental path planners allow undesired vertices of the newly developed components to be removed when updating the existing roadmaps with the new components. Hence, it is possible for the planners to produce high quality roadmaps if quality measures are used to identify the undesired vertices. The usefulness of a vertex in the sense of high quality roadmap construction depends on the type of the region it resides, given a configuration space. Therefore, it is important for such path planners to identify the region types. This paper presents the concept of the usefulness and a vertex-based classification approach to enable the planners to identify the region types and to calculate the usefulness of vertices accordingly
References
Adorno, B.V. and Borges, G.A., iARW: An incremental path planner algorithm based on adaptive random walks, Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 11-15, 2009, St. Louis, MO, USA, Issue 2, pp. 988-993.
Dale, L.K. and Amato, N. M., Probabilistic roadmaps-putting it all together, Proceedings of The 2001 IEEE International Conference on Robotics and Automation, 21-26 May, 2001, Seoul, Korea, Vol. 2, pp. 1940-1947.
Denny, J. Greco, E. Tapia, L. and Amato, N. M., Region identification methods for efficient and automated motion planning, Technical Report TR10-002, Parasol Lab., Department of Computer Science and Engineering, Texas A&M University, 2009.
Geraerts, R., Sampling-based Motion Planning: Analysis and Path Quality, PhD Thesis, Utrecht University, 2006.
Jaillet, L. and Siméon, T., Path Deformation Roadmaps: Compact Graphs with Useful Cycles for Motion Planning, International Journal of Robotics Research, 27, 11-12, pp. 1175-1188, 2008.
Kazemi, M., Mehrandezh, M, and Gupta, K., An Incremental Harmonic Function-based Probabilistic Roadmap Approach to Robot Path Planning, Proceedings of The 2005 IEEE International Conference on Robotics and Automation, April 18-22, 2005, Barcelona, Spain, pp. 2136-2141.
Published
Issue
Section
Copyright (c) 2020 The Romanian Journal of Technical Sciences. Applied Mechanics.

This work is licensed under a Creative Commons Attribution 4.0 International License.