Shibo Huang — accepted AI-conference papers

2025

Dual-BEV Nav: Dual-Layer BEV-Based Heuristic Path Planning for Robotic Navigation in Unstructured Outdoor Environments

Jianfeng Zhang, Hanlin Dong, Jian Yang, Jiahui Liu, Shibo Huang, Ke Li +3

ICRA 2025

Path planning with strong environmental adaptability plays a crucial role in robotic navigation in unstructured outdoor environments, especially in the case of low-quality location and map information. The path planning ability of a robot depends on the identification of the traversability of global

Cited by 2 Source ↗Scholar ↗

2025

KiteRunner: Language-Driven Cooperative Local-Global Navigation Policy with UAV Mapping in Outdoor Environments

Shibo Huang, Chenfan Shi, Jian Yang, Hanlin Dong, Jinpeng Mi, Ke Li +5

IROS 2025

Autonomous navigation in open-world outdoor environments faces challenges in integrating dynamic conditions, long-distance spatial reasoning, and semantic understanding. Traditional methods struggle to balance local planning, global planning, and semantic task execution, while existing large languag

Cited by 2 Source ↗Scholar ↗