1. Socially-Aware Opinion-Based Navigation with Oval Limit Cycles
- Author
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d'Addato, Giulia, Falqueto, Placido, Palopoli, Luigi, and Fontanelli, Daniele
- Subjects
Computer Science - Robotics ,Computer Science - Multiagent Systems - Abstract
When humans move in a shared space, they choose navigation strategies that preserve their mutual safety. At the same time, each human seeks to minimise the number of modifications to her/his path. In order to achieve this result, humans use unwritten rules and reach a consensus on their decisions about the motion direction by exchanging non-verbal messages. They then implement their choice in a mutually acceptable way. Socially-aware navigation denotes a research effort aimed at replicating this logic inside robots. Existing results focus either on how robots can participate in negotiations with humans, or on how they can move in a socially acceptable way. We propose a holistic approach in which the two aspects are jointly considered. Specifically, we show that by combining opinion dynamics (to reach a consensus) with vortex fields (to generate socially acceptable trajectories), the result outperforms the application of the two techniques in isolation., Comment: 7 pages, 6 figures, submitted to ICRA 2025
- Published
- 2024