A decoupled solution to heterogeneous multi-formation planning and coordination for object transportation

Multi-robot formations have numerous applications, such as cooperative object transportation in intelligent warehouses. In this context, robots are tasked with delivering objects in formation while avoiding intra- and inter-formation collisions. This necessitates the development of solutions for multi-robot task allocation, formation generation, rigid formation route planning, and formation coordination. In this paper, we present a cooperative formation object transportation system for heterogeneous multi-robot systems which captures robot dynamics and avoids inter-formation collisions. Accounting for heterogeneous formations expands the applicability of the proposed robotic transport system. For formation generation, we propose an approach based on conflict-based search, which integrates high-level path planning with low-level trajectory optimisation. For heterogeneous formation planning, we present a two-stage iterative trajectory optimisation framework which adheres to the kinematic constraints of our heterogeneous multi-robot system while retaining formation rigidity. For multi-formation coordination, we use a loosely-coupled algorithm which can guarantee collision-free and deadlock-free formation navigation under minimal assumptions. We demonstrate the efficacy of our approach in simulation.

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Publication Details

Journal
Robotics and Autonomous Systems
Published
2024-08-05
DOI
https://doi.org/10.1016/j.robot.2024.104773
Citations
7
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.74
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article

A decoupled solution to heterogeneous multi-formation planning and coordination for object transportation

Masoumeh Mansouri, Charlie Street, Weijian Zhang
7 citations
Robotics and Autonomous Systems
Robotic Path Planning Algorithms
1.74
article

A decoupled solution to heterogeneous multi-formation planning and coordination for object transportation

Masoumeh Mansouri, Charlie Street, Weijian Zhang
article en
7 citations

Abstract

Multi-robot formations have numerous applications, such as cooperative object transportation in intelligent warehouses. In this context, robots are tasked with delivering objects in formation while avoiding intra- and inter-formation collisions. This necessitates the development of solutions for multi-robot task allocation, formation generation, rigid formation route planning, and formation coordination. In this paper, we present a cooperative formation object transportation system for heterogeneous multi-robot systems which captures robot dynamics and avoids inter-formation collisions. Accounting for heterogeneous formations expands the applicability of the proposed robotic transport system. For formation generation, we propose an approach based on conflict-based search, which integrates high-level path planning with low-level trajectory optimisation. For heterogeneous formation planning, we present a two-stage iterative trajectory optimisation framework which adheres to the kinematic constraints of our heterogeneous multi-robot system while retaining formation rigidity. For multi-formation coordination, we use a loosely-coupled algorithm which can guarantee collision-free and deadlock-free formation navigation under minimal assumptions. We demonstrate the efficacy of our approach in simulation.

Robotics and Autonomous SystemsVol. 180
University of Birmingham (GB)
Sustainable cities and communities
Openalex Percentile: Top 14%
Robotic Path Planning Algorithms
1.74
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