2025
QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning
Jumman Hossain, Abu Zaher Md Faridee, Derrik E. Asher, Jade Freeman, Theron Trout, Timothy Gregory +1
ICRA 2025
Autonomous navigation in unstructured outdoor environments is inherently challenging due to the presence of asymmetric traversal costs, such as varying energy expenditures for uphill versus downhill movement. Traditional reinforcement learning methods often assume symmetric costs, which can lead to