Title
Variable Configuration Planner For Legged-Rolling Obstacle Negotiation Locomotion: Application On The Centauro Robot
Abstract
Hybrid legged-wheeled robots are able to adapt their leg configuration and height to vary their footprint polygons and go over obstacles or traverse narrow spaces. In this paper, we present a variable configuration wheeled motion planner based on the A* algorithm. It takes advantage of the agility of hybrid wheeled-legged robots and plans paths over low-lying obstacles and in narrow spaces. By imposing a symmetry on the robot polygon, the computed plans lie in a low-dimensional search space that provides the robot with configurations to safely negotiate obstacles by expanding or shrinking its footprint polygon. The introduced autonomous planner is demonstrated using simulations and real-world experiments with the CENTAURO robot.
Year
DOI
Venue
2019
10.1109/IROS40897.2019.8968014
2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
Field
DocType
ISSN
Obstacle negotiation,Polygon,Computer science,Planner,Real-time computing,Control engineering,Footprint,Robot,Traverse
Conference
2153-0858
Citations 
PageRank 
References 
1
0.35
0
Authors
5
Name
Order
Citations
PageRank
Vignesh Sushrutha Raghavan111.03
Dimitrios Kanoulas233.42
Arturo Laurenzi3249.04
Darwin G. Caldwell42900319.72
NG Tsagarakis51492159.09