most citedIndoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.RO2020★ 5 cited

Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband

Enrico Sutera, Vittorio Mazzia, Francesco Salvetti +2

Indoor autonomous navigation requires a precise and accurate localization system able to guide robots through cluttered, unstructured and dynamic environments. Ultra-wideband (UWB)…