6 papers
GSAR: Goal-State-Anchor Rewards for Mobile GUI Agents with Self-Evolving Data Synthesis
Long Zhang, Yuhan Chen, Chaoran Zhang +7
Vision-Language Models (VLMs) based GUI agents stand to benefit significantly from online reinforcement learning (RL). However, their training is bottlenecked by two fundamental is…
AssemPlanner: A Multi-Agent Based Task Planning Framework for Flexible Assembly System
Chenhao Zhang, Chaoran Zhang, Zhaobo Xu +3
In flexible assembly systems, existing task planning methods require a time-consuming configuration process by multiple experts to establish a production line for a new product. To…
ATG-MoE: Autoregressive trajectory generation with mixture-of-experts for assembly skill learning
Weihang Huang, Chaoran Zhang, Xiaoxin Deng +4
Flexible manufacturing requires robot systems that can adapt to constantly changing tasks, objects, and environments. However, traditional robot programming is labor-intensive and…
DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation
Xiongfeng Peng, Jiaqian Yu, Dingzhe Li +8
In dynamic environments such as warehouses, hospitals, and homes, robots must seamlessly transition between gross motion and precise manipulations to complete complex tasks. Howeve…
AssemMate: Graph-Based LLM for Robotic Assembly Assistance
Qi Zheng, Chaoran Zhang, Zijian Liang +5
Large Language Model (LLM)-based robotic assembly assistance has gained significant research attention. It requires the injection of domain-specific knowledge to guide the assembly…
Embodied intelligent industrial robotics: Framework and techniques
Chaoran Zhang, Chenhao Zhang, Zhaobo Xu +4
The combination of embodied intelligence and robots has great prospects and is becoming increasingly common. In order to work more efficiently, accurately, reliably, and safely in…