Longbin Tang — accepted AI-conference papers

2026

AERO-MPPI: Anchor-Guided Ensemble Trajectory Optimization for Agile Mapless Drone Navigation

Xin Chen, Rui Huang, Longbin Tang, Lin Zhao

ICRA 2026poster

Agile mapless navigation in cluttered 3D environments poses significant challenges for autonomous drones. Conventional mapping–planning–control pipelines incur high computational cost and propagate estimation errors. We present AERO-MPPI, a fully GPU-accelerated framework that unifies perception and…

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2026

MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments

Kuankuan Sima, Longbin Tang, Zhenyu Yang, Haozhe Ma, Lin Zhao

RA-L 2026

Autonomous navigation in unknown environments requires multi-scale spatial understanding that captures geometric details, topological connectivity, and global structure to support high-level decision making under partial observability. Existing approaches struggle to efficiently capture such multi-s

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