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Jiantao Qiu

3 accepted papers

2022

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration

ICRA 2022poster

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. Nevertheless, given the lack of unified data sets, metrics, and platforms to evaluate the exploration approaches, we develop…

Cited by 41SourcecodeScholar
2022

Multi-UAV Disaster Environment Coverage Planning with Limited-Endurance

ICRA 2022poster

Disaster areas involving floods and earthquakes are commonly large, with the rescue time being quite tight, suggesting multi-Unmanned Aerial Vehicles (UAV) exploration rather than employing a single UAV. For such scenarios, current UAV exploration is modeled as a Coverage Path Planning (CPP) problem…

Cited by 29SourceScholar
2022

Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning

ICRA 2022poster

Multi-agent formation as well as obstacle avoid-ance is one of the most actively studied topics in the field of multi-agent systems. Although some classic controllers like model predictive control (MPC) and fuzzy control achieve a certain measure of success, most of them require precise global infor…

Cited by 24SourceScholar