作者: D. Hsu , J.-C. Latcombe , S. Sorkin
DOI: 10.1109/ISATP.1999.782972
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摘要: This paper presents an efficient algorithm for optimizing the base location of a robot manipulator in environment cluttered with obstacles, order to execute specified tasks as fast possible. The uses randomized motion planning techniques and exploits geometric "coherence" configuration space achieve computation. performance is demonstrated on both synthetic examples real-life CAD data from automotive industry. computation time ranges under minute simple problems few minutes more complex ones.