Polygon-Based Random Tree Search Planning for Variable Geometry Truss Robot

  • Park, Sumin
  • Bae, Jangho
  • Lee, Seohyeon
  • Yim, Mark
  • Kim, Jongwon
  • ... Seo, TaeWon
Citations

WEB OF SCIENCE

14
Citations

SCOPUS

15

초록

This letter proposes the use of a polygon-based random tree path planning algorithm for a variable geometry topology system (VGT). By combining a path planning algorithm and our previous non-impact locomotion algorithm, the proposed VGT system reaches an objective point. The proposed path planning algorithm provides the desired set of support polygons with a modified rapid random tree algorithm. The algorithm can significantly reduce distortion of the VGT system while moving by limiting the deformation of the desired support polygon. With this algorithm feature, constraint violations of the system were significantly reduced with respect to using a normal rapid random tree algorithm for path planning. The performance of the algorithm was validated using the simulation results.

키워드

Cellular and modular robotskinematicsmotion and path planningredundant robotsROLLING LOCOMOTION
제목
Polygon-Based Random Tree Search Planning for Variable Geometry Truss Robot
저자
Park, SuminBae, JanghoLee, SeohyeonYim, MarkKim, JongwonSeo, TaeWon
DOI
10.1109/LRA.2020.2965871
발행일
2020-04
유형
Article
저널명
IEEE Robotics and Automation Letters
5
2
페이지
813 ~ 819