Title
Hierarchical rough terrain motion planning using an optimal sampling-based method
Abstract
Mobile robots with reconfigurable chassis are able to traverse unstructured outdoor environments with boulders or rubble, and overcome challenging structures in urban environments, like stairs or steps. Autonomously traversing rough terrain and such obstacles while ensuring the safety of the robot is a challenging task in mobile robotics. In this paper we introduce a two-phase motion planning algorithm for actively reconfigurable tracked robots. We first use the completeness of a graph search on a regular grid to quickly find an initial path in a low dimensional space, considering only the platform's operating limits instead of the complete state. We then take this initial path to focus the RRT* search in the continuous high-dimensional state space including the actuators of the robot. We do not rely on a detailed structure/terrain classification or use any predefined motion sequences. Hence, our planner can be applied to urban structures, like stairs, as well as rough unstructured environments. Simulation results prove our method to be effective in solving planning queries in such environments.
Year
DOI
Venue
2013
10.1109/ICRA.2013.6631372
Robotics and Automation
Keywords
Field
DocType
graph theory,mobile robots,path planning,sampling methods,search problems,state-space methods,RRT search,actively reconfigurable tracked robots,actuators,boulders,continuous high-dimensional state space,graph search,hierarchical rough terrain motion planning,low dimensional space,mobile robots,motion sequences,optimal sampling-based method,reconfigurable chassis,regular grid,rough unstructured environments,rubble,stairs,structure classification,terrain classification,two-phase motion planning algorithm,unstructured outdoor environments,urban structures
Motion planning,Regular grid,Terrain,Control engineering,Artificial intelligence,Engineering,Robot,State space,Mobile robot,Robotics,Traverse
Conference
Volume
Issue
ISSN
2013
1
1050-4729
ISBN
Citations 
PageRank 
978-1-4673-5641-1
8
0.54
References 
Authors
10
3
Name
Order
Citations
PageRank
Michael Brunner1173.30
Bernd Brüggemann2246.83
Dirk Schulz31701236.54