Be My Eye: Learning to See Beyond a Robot's Own Perspective
Overview
This research addresses partial observability in multi-robot collaboration by introducing a framework that selectively encodes task-relevant information from partner robots. The proposed method uses a two-stage training paradigm to create compact context representations that preserve critical task objectives and execution progress, which are then integrated into a Vision-Language-Action (VLA) policy. Experiments demonstrate significant performance gains under communication constraints in both simulated and real-world dual-robot tasks.
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- arXiv Robotics — research abstractsSignalBe My Eye: Learning to See Beyond a Robot's Own Perspective
This research addresses partial observability in multi-robot collaboration by introducing a framework that selectively encodes task-relevant information from partner robots. The proposed method uses a two-stage training paradigm to create compact context representations that preserve critical task objectives and execution progress, which are then integrated into a Vision-Language-Action (VLA) policy. Experiments demonstrate significant performance gains under communication constraints in both simulated and real-world dual-robot tasks.
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