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Does Peer Observation Help? Vision-Sharing Collaboration for Vision-Language Navigation

Description

Vision-Language Navigation (VLN) systems are fundamentally constrained by partial observability, as an agent can only accumulate knowledge from locations it has personally visited. As multiple robots increasingly coexist in shared environments, a natural question arises: can agents navigating the same space benefit from each other's observations? In this work, we introduce Co-VLN, a minimalist, model-agnostic framework for systematically investigating whether and how peer observations from concu

Source

http://arxiv.org/abs/2603.20804v1