Towards Swarms of Long Heavy Articulated Vehicles

This paper investigates decentralized swarm intelligence for Heavy Articulated Vehicles (HAVs), which are traditionally automated through centralized Multi-Robot Systems. Unlike typical swarm robotics, where individuals are modeled as point masses with simple kinematics and circular collision footprints, HAVs present unique challenges. We focus on the specific issues related to jackknifing and mutual collision prevention among these elongated swarm members. Our proposed approaches aim to address and mitigate these challenges effectively.

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Publication Details

Journal
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Published
2025-07-14
DOI
https://doi.org/10.1145/3712255.3734267
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.43
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article

Towards Swarms of Long Heavy Articulated Vehicles

Adrian Schönnagel, Sanaz Mostaghim, Monique G. Dubé
1 citations
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Robotic Path Planning Algorithms
0.43
article

Towards Swarms of Long Heavy Articulated Vehicles

Adrian Schönnagel, Sanaz Mostaghim, Monique G. Dubé
article en
1 citations

Abstract

This paper investigates decentralized swarm intelligence for Heavy Articulated Vehicles (HAVs), which are traditionally automated through centralized Multi-Robot Systems. Unlike typical swarm robotics, where individuals are modeled as point masses with simple kinematics and circular collision footprints, HAVs present unique challenges. We focus on the specific issues related to jackknifing and mutual collision prevention among these elongated swarm members. Our proposed approaches aim to address and mitigate these challenges effectively.

Proceedings of the Genetic and Evolutionary Computation Conference Companion
Fraunhofer Institute for Transportation and Infrastructure Systems (DE), Otto-von-Guericke-Universität Magdeburg (DE)
Openalex Percentile: Top 38%
Robotic Path Planning Algorithms
0.43
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