Zongzhi Zhu — accepted AI-conference papers

2026

SwarmNav: Swarm Robotics Navigation in Dynamic and Dense Environments Via Reinforcement Learning

Shengbo Li, Chuanjie Lv, Xiangqian Yuan, Liming Xu, Xinyang Liu, Zongzhi Zhu +2

ICRA 2026poster

Collision avoidance and navigation in dynamic and dense environments remain highly challenging for swarm robotics. To address this, we propose SwarmNav, a novel goal-region amplification navigation policy that leverages LiDAR-based position data to generate velocity commands guiding robots toward th…

Cited by 0 Scholar ↗

2025

L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model

Ruoyu Wang, Yukai Ma, Yi Yao, Sheng Tao, Haoang Li, Zongzhi Zhu +2

IROS 2025

Semantic Scene Completion (SSC) constitutes a pivotal element in autonomous driving perception systems, tasked with inferring the 3D semantic occupancy of a scene from sensory data. To improve accuracy, prior research has implemented various computationally demanding and memory-intensive 3D operatio

Cited by 3 Source ↗code ↗Scholar ↗