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Guangchen Li

2 accepted papers

2026

An End-To-End Trajectory Planner for Safe and Efficient Navigation in Crowded Dynamic Environments

ICRA 2026poster

This paper presents a novel end-to-end trajectory planning framework that integrates LiDAR-based perception with trajectory optimization, enabling safe and efficient navigation in dynamic environments without relying on semantic detection or explicit kinematic modeling. Learning-based dynamic collis…

Cited by 0codeScholar
2026

Graph-Based Multi-Agent Reinforcement Learning for Scalable UAV Formation Control and Target Tracking

ICRA 2026poster

This paper presents a graph-based multi-agent reinforcement learning framework for scalable UAV formation control and target tracking. The framework introduces a conflict-aware graph representation that aggregates neighborhood information through attention-based message passing, enabling each UAV to…

Cited by 0codeScholar