Motion planning is becoming an important topic in many application areas, ranging from robotics to virtual environments and games. In this paper I review some recent results in motion planning, concentrating on the probabilistic roadmap approach that has proven to be very successful for many motion planning problems. After a brief description of the approach I indicate how the technique can be applied to various motion planning problems. Next I give a number of global techniques for improving the approach, and finally I describe some recent results on improving the quality of the resulting motions. © Springer-Verlag 2002.
CITATION STYLE
Overmars, M. H. (2002). Recent developments in motion planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2331 LNCS, pp. 3–13). Springer Verlag. https://doi.org/10.1007/3-540-47789-6_1
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