Forecast Method of Obstacle Region in Dynamic Environment
Masafumi Uchida*, Hideto Ide* and Syuichi Yokoyama**
*College of Science and Engineering, Aoyama Gakuin University, 6-16-1, Chitosedai, Setagaya-ku, Tokyo, 157 Japan
**Kogakuin University, 1-24-2, Nishishinjuku, Shinjuku-ku, Tokyo 163 Japan
This study especially take notice of a path plan of a mobile robot in a motion plan of an autonomous robot. We considered that a transfer from a pattern of environment information to one of a plan is a path plan and studied ways to proccess an occupied region pattern of a working environment in parallel. This Paper proposes a technique for to forecast of environment changes and to plan ahead motion for the future.
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