Tal Regev

Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths

In this paper we develop a new approach for decentralized multi-robot belief space planning in high-dimensional state spaces while operating in unknown environments. State of the art approaches often address related problems within a sampling based motion planning paradigm, where robots generate can…