Autonomous Robots Lab

Welcome to the Autonomous Robots Lab (ARL) at Peking University, China.

ARL investigates problems related to the planning and perception of autonomous systems and intelligent robots. The lab combines expertise from robotics, control theory, machine learning, optimization, and cognitive science to develop theories and methodologies for single and multi-robot systems to reliably and efficiently operate in uncertain and dynamically changing environments.

Recent news

Xuru Yang's paper:Risk-Aware Non-Myopic Motion Planner for Large-Scale Robotic Swarm Using CVaR Constraints has been accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024!!

Yunze Hu's paper:SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems has been accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024!!

Pengying Wu's paper:CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations has been accepted to 2024 Workshop at Robotics: Science and Systems (RSS)!!

Pengying Wu's paper:VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model has been accepted to International Conference on Machine Learning (ICML), 2024!!