Latent Telepathy: Multi-Robot Communication with Self-Supervised Perceptual Lat
Overview
The paper presents a method for multi-robot communication in decentralized teams under partial observability. By broadcasting perceptual latent vectors derived from a self-supervised encoder, robots can share compressed perceptual information without explicit task coupling. The approach achieves high reliability in navigation tasks, outperforming traditional kinematic messages and raw images, and is validated across multiple environments.
From arXiv Robotics — research abstracts
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- 2026-10-30T23:02:03.928Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsSignalLatent Telepathy: Multi-Robot Communication with Self-Supervised Perceptual Latents
The paper presents a method for multi-robot communication in decentralized teams under partial observability. By broadcasting perceptual latent vectors derived from a self-supervised encoder, robots can share compressed perceptual information without explicit task coupling. The approach achieves high reliability in navigation tasks, outperforming traditional kinematic messages and raw images, and is validated across multiple environments.
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