Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approach

arXiv:2310.02650v2 Announce Type: replace-cross
Abstract: Rather than having each newly deployed robot create its own map of its surroundings, the growing availability of SLAM-enabled devices provides the option of simply localizing in a map of another robot or device. In cases such as multi-robot or human-robot collaboration, localizing all agents in the same map is even necessary. However, localizing e.g. a ground robot in the map of a drone or head-mounted MR headset presents unique challenges due to viewpoint changes. …

abstract agent agents arxiv availability cases collaboration create cs.cv cs.ro data data-driven devices human localization map multi-agent robot slam type visual