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Incremental Sampling-Based Algorithm for Minimum-Violation Motion Planning
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-4173-2593
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2013 (English)In: 2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), IEEE conference proceedings, 2013, 3217-3224 p.Conference paper (Refereed)
Abstract [en]

This paper studies the problem of control strategy synthesis for dynamical systems with differential constraints to fulfill a given reachability goal while satisfying a set of safety rules. Particular attention is devoted to goals that become feasible only if a subset of the safety rules are violated. The proposed algorithm computes a control law, that minimizes the level of unsafety while the desired goal is guaranteed to be reached. This problem is motivated by an autonomous car navigating an urban environment while following rules of the road such as "always travel in right lane" and "do not change lanes frequently". Ideas behind sampling based motion-planning algorithms, such as Probabilistic Road Maps (PRMs) and Rapidly-exploring Random Trees (RRTs), are employed to incrementally construct a finite concretization of the dynamics as a durational Kripke structure. In conjunction with this, a weighted finite automaton that captures the safety rules is used in order to find an optimal trajectory that minimizes the violation of safety rules. We prove that the proposed algorithm guarantees asymptotic optimality, i.e., almost-sure convergence to optimal solutions. We present results of simulation experiments and an implementation on an autonomous urban mobility-on-demand system.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 3217-3224 p.
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-138972ISI: 000352223503105ScopusID: 2-s2.0-84902338328OAI: diva2:682010
52nd IEEE Conference on Decision and Control,Florence, ITALY

QC 20151208

Available from: 2013-12-20 Created: 2013-12-20 Last updated: 2015-12-08Bibliographically approved

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Tumova, Jana
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Automatic ControlACCESS Linnaeus Centre
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