Work

Evaluation of a novel Collision Probability approximation for local obstacle avoidance

Year: 2024

Type: conference-paper

Abstract: In the domain of robotics, addressing motion uncertainty and incomplete environmental knowledge remains a persistent challenge for real-world applications. This work presents a recently introduced approximation method for computing collision probability in continuous domains. We provide a concise overview of the theoretical foundations before introducing our proposed approximation technique. To demonstrate the potential of our approach, we conduct a comparative analysis against an established method within a trajectory optimization framework. The experiment results suggest that the proposed method offers promising performance in this context.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14731048

Authors: Paiola, Lorenzo, Grioli, Giorgio, Bicchi, Antonio

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6949560621

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