Title
Design and evaluation of a reactive and deliberative collision avoidance and escape architecture for autonomous robots
Abstract
We present the design and evaluation of an architecture for collision avoidance and escape of mobile autonomous robots operating in unstructured environments. The approach mixes both reactive and deliberative components. This provides the vehicle's behavior designers with an explicit means to design-in avoidance strategies that match system requirements in concepts of operations and for robot certification. The now traditional three layer architecture is extended to include a fourth Scenario layer, where scripts describing specific responses are selected and parameterized on the fly. A local map is maintained using available sensor data, and adjacent objects are combined as they are observed. This has been observed to create safer trajectories. Objects have persistence and fade if not re-observed over time. In common with behavior based approaches, a reactive layer is maintained containing pre-defined knee jerk responses for extreme situations. The reactive layer can inhibit outputs from above. Path planning of updated goal point outputs from the Scenario layer is performed using a fast marching method made more efficient through lifelong planning techniques. The architecture is applied to applications with Autonomous Underwater Vehicles. Both simulated and open water tests are carried out to establish the performance and usefulness of the approach.
Year
DOI
Venue
2008
10.1007/s10514-007-9053-8
Auton. Robots
Keywords
Field
DocType
Obstacle avoidance,Robot architecture,Deliberative,Reactive,Planning,Autonomous underwater vehicle,Unstructured environments
Obstacle avoidance,Motion planning,Computer vision,Fast marching method,Computer science,Simulation,Jerk,Collision,Three-layer architecture,Artificial intelligence,Robot,System requirements
Journal
Volume
Issue
ISSN
24
3
0929-5593
Citations 
PageRank 
References 
2
0.48
14
Authors
4
Name
Order
Citations
PageRank
Jonathan Evans151.71
Pedro Patrón2376.15
Ben Smith320.48
David M. Lane422441.74