6 papers
CoRDE: Concept-Prior Routed Diffusion Experts for Structural Generalization in Robot Manipulation
Haidong Huang, Xixin Zhao, Yaohua Zhou +5
Diffusion models excel at capturing multi-modal action distributions in robot imitation learning. However, in multi-task and long-horizon scenarios, monolithic architectures lack s…
Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes
Hongxuan Wang, Xiaocong Li, Lihao Zheng +2
Automatic controller tuning is attractive for robotics and mechatronic systems whose dynamics are difficult to model accurately, but direct black-box optimization can be unsafe bec…
FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation
Ruiteng Zhao, Wenshuo Wang, Yicheng Ma +4
Force sensing is a crucial modality for Vision-Language-Action (VLA) frameworks, as it enables fine-grained perception and dexterous manipulation in contact-rich tasks. We present…
Opinion: Towards Unified Expressive Policy Optimization for Robust Robot Learning
Haidong Huang, Haiyue Zhu. Jiayu Song, Xixin Zhao +4
Offline-to-online reinforcement learning (O2O-RL) has emerged as a promising paradigm for safe and efficient robotic policy deployment but suffers from two fundamental challenges:…
A Dual Large Language Models Architecture with Herald Guided Prompts for Parallel Fine Grained Traffic Signal Control
Qing Guo, Xinhang Li, Junyu Chen +4
Leveraging large language models (LLMs) in traffic signal control (TSC) improves optimization efficiency and interpretability compared to traditional reinforcement learning (RL) me…
Robotic Control Optimization Through Kernel Selection in Safe Bayesian Optimization
Lihao Zheng, Hongxuan Wang, Xiaocong Li +2
Control system optimization has long been a fundamental challenge in robotics. While recent advancements have led to the development of control algorithms that leverage learning-ba…