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Task Assignment and Trajectory Planning in Dynamic environments for Multiple Vehicles
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. (Intelligent Vehicles)ORCID iD: 0000-0001-6119-6615
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. (Intelligent Vehicles)
Massachusetts Institute of Technology, Cambridge, MA, USA.
2016 (English)Conference paper (Refereed)
Abstract [en]

We consider the problem of finding collision-free trajectories for a fleet of automated guided vehicles (AGVs) working in ship ports and freight terminals. Our solution computes collision-free trajectories for a fleet of AGVs to pick up one or more containers and transport it to a given goal without colliding with other AGVs and obstacles. We propose an integrated framework for solving the goal assignment and trajectory planning problem minimizing the maximum cost overall vehicle trajectories using the classical Hungarian algorithm.To deal with the dynamics in the environment, we refine our final trajectories with CHOMP (Covariant Hamiltonianoptimization for motion planning) in order to trade off between path smoothness and dynamic obstacle avoidance.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Multi-robot, task assignment, path planner
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-31738OAI: oai:DiVA.org:hh-31738DiVA: diva2:951908
Conference
RSS 2016 Workshop on Task and Motion Planning, Ann Arbor, Michigan, USA, June 19, 2016
Projects
CargoAnts
Funder
EU, FP7, Seventh Framework Programme, 605598
Available from: 2016-08-10 Created: 2016-08-10 Last updated: 2016-08-16Bibliographically approved

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David, JenniferValencia, RafaelIagnemma, Karl
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