Autonomous Obstacle Crossing Strategies for the Hybrid Wheeled-Legged Robot Centauro.

ABSTRACT: The development of autonomous legged/wheeled robots with the ability to navigate and execute tasks in unstructured environments is a well-known research challenge. In this work we introduce a methodology that permits a hybrid legged/wheeled platform to realize terrain traversing functionalities that are adaptable, extendable and can be autonomously selected and regulated based on the geometry of the perceived ground and associated obstacles. The proposed methodology makes use of a set of terrain traversing primitive behaviors that are used to perform driving, stepping on, down and over and can be adapted, based on the ground and obstacle geometry and dimensions. The terrain geometrical properties are first obtained by a perception module, which makes use of point cloud data coming from the

SUBMITTER: De Luca A 

PROVIDER: S-EPMC8640219 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature