Title
Robust Motion Planning Using a Maneuver Automaton with Built-in Uncertainties
Abstract
In this paper, we extend a recently introduced motion planningframeworkforautonomousvehiclesbasedona maneuver automaton representation of the vehicle dy- namics. Webringrobustnessintotheguidancesystem byaccountingfortheuncertaintiesinthemotionprimi- tivesusedbythemaneuverautomaton. Theuncertain- tiesaretakenintoaccountintheo†inecomputationof a guidance function, as well as in a real-time planning policy. Weillustrateourapproachusingahigh-fldelity simulation model of MIT's autonomous X-Cell minia- turehelicopter,andpresentanexamplethathighlights the performance improvement over the original frame- work. We demonstrate that, when uncertainties are present, a nominal planning policy generates subopti- mal trajectories in both open- and closed-loop guid- ance, and that trajectories obtained by applying the robust policy are less sensitive to perturbations in the motion primitives.
Year
DOI
Venue
2003
10.1109/ACC.2003.1243402
american control conference
Keywords
DocType
Volume
aircraft navigation,closed loop systems,dynamic programming,helicopters,path planning,real-time systems,vehicle dynamics,autonomous X-Cell miniature helicopter,built-in uncertainties,closed loop guidance,dynamic programming,guidance system,high fidelity simulation model,maneuver automation,perturbations,real time planning policy,robust motion planning,suboptimal trajectories,vehicle dynamics
Conference
3
ISSN
Citations 
PageRank 
0743-1619
6
0.63
References 
Authors
1
4
Name
Order
Citations
PageRank
Tom Schouwenaars1908.50
Bernard Mettler219113.19
Eric Feron370.98
Jonathan How41759185.09