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Xianlu Tao

3 accepted papers

2026

TIPS: Tiered Information-Rich Planning Strategy for Efficient UGV Autonomous Exploration

ICRA 2026poster

In this letter, we propose a tiered systematic framework to enhance the overall efficiency and environmental coverage of autonomous exploration for Autonomous Ground Vehicle (AGV) in complex environments with narrow regions. At the local level, we introduce a novel Multi-cause Triggering Sensor Mode…

Cited by 0Scholar
2025

Reinforcement Learning-Based Adaptive Path Tracking Fusion Control Strategy for Intelligent Vehicles

RA-L 2025

Path tracking control is a crucial technology for intelligent vehicles (IVs) to achieve accurate tracking. However, a single controller struggles to track precisely in complex environments due to respective advantages and applicable scenarios. To improve tracking performance for IVs, this letter pro

Cited by 0SourceScholar
2025

TIPS: Tiered Information-Rich Planning Strategy for Efficient AGV Autonomous Exploration

RA-L 2025

In this letter, we propose a tiered systematic framework to enhance the overall efficiency and environmental coverage of autonomous exploration for Unmanned Ground Vehicle (UGV) in complex environments with narrow regions. At the local level, we introduce a novel Multi-cause Triggering Sensor Model

Cited by 0SourceScholar