2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2022
Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration
Yuanfan Xu, Jincheng Yu, Jiahao Tang +5
Autonomous exploration and mapping of unknown terrains employing single or multiple robots is an essential task in mobile robotics and has therefore been widely investigated. Never…
cs.RO2022★ 2 cited
Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment
Hongyu Song, Jincheng Yu, Jiantao Qiu +5
For scenes such as floods and earthquakes, the disaster area is large, and rescue time is tight. Multi-UAV exploration is more efficient than a single UAV. Existing UAV exploration…