April 18, 2024, 4:44 a.m. | Luca Scofano, Alessio Sampieri, Tommaso Campari, Valentino Sacco, Indro Spinelli, Lamberto Ballan, Fabio Galasso

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.11327v1 Announce Type: cross
Abstract: The success of collaboration between humans and robots in shared environments relies on the robot's real-time adaptation to human motion. Specifically, in Social Navigation, the agent should be close enough to assist but ready to back up to let the human move freely, avoiding collisions. Human trajectories emerge as crucial cues in Social Navigation, but they are partially observable from the robot's egocentric view and computationally complex to process.
We propose the first Social Dynamics …

abstract agent arxiv back up collaboration cs.cv cs.ro environments human humans navigation real-time robot robots social success thread type

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