Simultaneous Path Planning and Task Allocation in Dynamic Environments

This paper addresses the challenge of coordinating task allocation and generating collision-free trajectories for a fleet of mobile robots in dynamic environments. Our approach introduces an integrated framework comprising a centralized task allocation system and a distributed trajectory planner. Th...

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Main Authors: Jennifer David, Rafael Valencia
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Robotics
Subjects:
Online Access:https://www.mdpi.com/2218-6581/14/2/17
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author Jennifer David
Rafael Valencia
author_facet Jennifer David
Rafael Valencia
author_sort Jennifer David
collection DOAJ
description This paper addresses the challenge of coordinating task allocation and generating collision-free trajectories for a fleet of mobile robots in dynamic environments. Our approach introduces an integrated framework comprising a centralized task allocation system and a distributed trajectory planner. The centralized task allocation system, employing a heuristic approach, aims to minimize the maximum spatial cost among the slowest robots. Tasks and trajectories are continuously refined using a distributed version of CHOMP (Covariant Hamiltonian Optimization for Motion Planning), tailored for multiple-wheeled mobile robots where the spatial costs are derived from a high-level global path planner. By employing this combined methodology, we are able to achieve near-optimal solutions and collision-free trajectories with computational performance for up to 50 robots within seconds.
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series Robotics
spelling doaj-art-e6e41f86a321498fbd3ee0ec6e8643f22025-08-20T02:04:07ZengMDPI AGRobotics2218-65812025-02-011421710.3390/robotics14020017Simultaneous Path Planning and Task Allocation in Dynamic EnvironmentsJennifer David0Rafael Valencia1Center for Applied Intelligent Systems Research, School of ITE, Halmstad University, SE-30118 Halmstad, SwedenCenter for Applied Intelligent Systems Research, School of ITE, Halmstad University, SE-30118 Halmstad, SwedenThis paper addresses the challenge of coordinating task allocation and generating collision-free trajectories for a fleet of mobile robots in dynamic environments. Our approach introduces an integrated framework comprising a centralized task allocation system and a distributed trajectory planner. The centralized task allocation system, employing a heuristic approach, aims to minimize the maximum spatial cost among the slowest robots. Tasks and trajectories are continuously refined using a distributed version of CHOMP (Covariant Hamiltonian Optimization for Motion Planning), tailored for multiple-wheeled mobile robots where the spatial costs are derived from a high-level global path planner. By employing this combined methodology, we are able to achieve near-optimal solutions and collision-free trajectories with computational performance for up to 50 robots within seconds.https://www.mdpi.com/2218-6581/14/2/17task allocationtrajectory plannerpath conflicts
spellingShingle Jennifer David
Rafael Valencia
Simultaneous Path Planning and Task Allocation in Dynamic Environments
Robotics
task allocation
trajectory planner
path conflicts
title Simultaneous Path Planning and Task Allocation in Dynamic Environments
title_full Simultaneous Path Planning and Task Allocation in Dynamic Environments
title_fullStr Simultaneous Path Planning and Task Allocation in Dynamic Environments
title_full_unstemmed Simultaneous Path Planning and Task Allocation in Dynamic Environments
title_short Simultaneous Path Planning and Task Allocation in Dynamic Environments
title_sort simultaneous path planning and task allocation in dynamic environments
topic task allocation
trajectory planner
path conflicts
url https://www.mdpi.com/2218-6581/14/2/17
work_keys_str_mv AT jenniferdavid simultaneouspathplanningandtaskallocationindynamicenvironments
AT rafaelvalencia simultaneouspathplanningandtaskallocationindynamicenvironments