Haibin Xie — accepted AI-conference papers

2026

Receding Horizon Reinforcement Learning with Autoregressive Model for Motion Control of Autonomous Vehicles

Xin Yin, Haotian Cao, Xinglong Zhang, Qingwen Ma, Xin Xu, Haibin Xie

ICRA 2026poster

This paper presents a model-based reinforcement learning (MBRL) approach with a receding horizon mechanism to optimize the lateral trajectory-tracking performance of autonomous vehicles (AVs). Accurate modeling of complex vehicle dynamics and adaptation to dynamic environments with limited data pose…

Cited by 0 Scholar ↗

2022

Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots

Xinglong Zhang, Yaoqian Peng, Wei Pan, Xin Xu, Haibin Xie

ICRA 2022poster

Distributed model predictive control (DMPC) concerns how to online control multiple robotic systems with constraints effectively. However, the nonlinearity, nonconvexity, and strong interconnections of dynamic system models and constraints can make the real-time and real-world DMPC implementations n…

Cited by 13 Source ↗Scholar ↗