HIGHLIGHTS
- who: Hybrid RRT A Semi-Dual-Tree et al. from the of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia have published the Article: Hybrid RRT: A Semi-Dual-Tree RRT-Based Motion Planner, in the Journal: (JOURNAL)
- what: The authors propose which divides the planning process into three parts: finding initial solutions by search combining two trees into one and optimizing the solution.
SUMMARY
Optimized versions like RRT* and Informed RRT* have been designed to return near-optimal solutions so that they optimizing their trees from the . . .
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