Autonomous Obstacle Legipulation with a Hexapod Robot

Publisher:
ARAA
Publication Type:
Conference Proceeding
Citation:
ACRA 2020 Proceedings, 2020, pp. 1-9
Issue Date:
2020
Full metadata record
Legged robots traversing in confined environments could find their only path is blocked by obstacles. In circumstances where the obstacles are movable, a multilegged robot can manipulate the obstacles using its legs to allow it to continue on its path. We present a method for a hexapod robot to autonomously generate manipulation trajectories for detected obstacles. Using a RGB-D sensor as input, the obstacle is extracted from the environment and filtered to provide key contact points for the manipulation algorithm to calculate a trajectory to move the obstacle out of the path. Experiments on a 30 degree of freedom hexapod robot show the effectiveness of the algorithm in manipulating a range of obstacles in a 3D environment using its front legs
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