A Scalable Framework for Parallelizing Sampling-Based Motion Planning Algorithms /

Bibliographic Details
Main Author:	Jacobs, Samson Ade (Author)
Other Authors:	Amato, Nancy M. (Thesis advisor)
Format:	Thesis eBook
Language:	English
Published:	[College Station, Texas] : [Texas A & M University], [2015]
Subjects:	Major Computer Science. Motion Planning Parallel Processing Robotics Parallel Algorithms Sampling-Based Motion Planning Probabilistic Roadmap Method (PRM), Rapidly-exploring Random Tree (RRT) Performance Algorithms High Performance Computing Standard Template Adaptive Parallel Library (STAPL) C++
Online Access:	Link to OAK Trust copy

Link to OAK Trust copy

Available Online