Multi-Objective Adaptation After Deployment: A Position on World Models for Remote Robot Teams
Overview
This paper argues that world models merit investigation for enabling autonomous robot teams deployed in remote environments to adapt to changes in conditions, hardware, or mission objectives without physically testing every candidate policy. The authors identify key research priorities including validating predicted versus realized performance and incorporating shared information into world models to support coordinated team adaptation.
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- arXiv Robotics — research abstractsSignalMulti-Objective Adaptation After Deployment: A Position on World Models for Remote Robot Teams
This paper argues that world models merit investigation for enabling autonomous robot teams deployed in remote environments to adapt to changes in conditions, hardware, or mission objectives without physically testing every candidate policy. The authors identify key research priorities including validating predicted versus realized performance and incorporating shared information into world models to support coordinated team adaptation.
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