On The Evaluation of Collision Probability along a Path

Fuente: arXiv
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Hauptverfasser: Paiola, Lorenzo, Grioli, Giorgio, Bicchi, Antonio
Format: Preprint
Veröffentlicht: 2023
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author Paiola, Lorenzo
Grioli, Giorgio
Bicchi, Antonio
author_facet Paiola, Lorenzo
Grioli, Giorgio
Bicchi, Antonio
contents Characterizing the risk of operations is a fundamental requirement in robotics, and a crucial ingredient of safe planning. The problem is multifaceted, with multiple definitions arising in the vast recent literature fitting different application scenarios and leading to different computational approaches. A basic element shared by most frameworks is the definition and evaluation of the probability of collision for a mobile object in an environment with obstacles. We observe that, even in basic cases, different interpretations are possible. This paper proposes an index we call "Risk Density", which offers a theoretical link between conceptually distant assumptions about the interplay of single collision events along a continuous path. We show how this index can be used to approximate the collision probability in the case where the robot evolves along a nominal continuous curve from random initial conditions. Indeed, under this hypothesis the proposed approximation outperforms some well-established methods either in accuracy or computational cost.
format Preprint
id arxiv_https___arxiv_org_abs_2311_08204
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On The Evaluation of Collision Probability along a Path
Paiola, Lorenzo
Grioli, Giorgio
Bicchi, Antonio
Robotics
Characterizing the risk of operations is a fundamental requirement in robotics, and a crucial ingredient of safe planning. The problem is multifaceted, with multiple definitions arising in the vast recent literature fitting different application scenarios and leading to different computational approaches. A basic element shared by most frameworks is the definition and evaluation of the probability of collision for a mobile object in an environment with obstacles. We observe that, even in basic cases, different interpretations are possible. This paper proposes an index we call "Risk Density", which offers a theoretical link between conceptually distant assumptions about the interplay of single collision events along a continuous path. We show how this index can be used to approximate the collision probability in the case where the robot evolves along a nominal continuous curve from random initial conditions. Indeed, under this hypothesis the proposed approximation outperforms some well-established methods either in accuracy or computational cost.
title On The Evaluation of Collision Probability along a Path
topic Robotics
url https://arxiv.org/abs/2311.08204