1 citations · 2 across the 5 of their papers we have counts for
5 papers
Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents
Fujiang Yuan, Xia Huang, Lusheng Wang +7
The convergence of large language models (LLMs), structured knowledge bases (KBs), and reasoning ability (RA) presents a promising trajectory toward general embodied intelligence (…
Mean Field Game-Based Interactive Trajectory Planning Using Physics-Inspired Unified Potential Fields
Zhen Tian, Fujiang Yuan, Chunhong Yuan +1
Interactive trajectory planning in autonomous driving must balance safety, efficiency, and scalability under heterogeneous driving behaviors. Existing methods often face high compu…
Attention and Risk-Aware Decision Framework for Safe Autonomous Driving
Zhen Tian, Fujiang Yuan, Yangfan He +7
Autonomous driving has attracted great interest due to its potential capability in full-unsupervised driving. Model-based and learning-based methods are widely used in autonomous d…
Adaptive Evolution Factor Risk Ellipse Framework for Reliable and Safe Autonomous Driving
Fujiang Yuan, Zhen Tian, Yangfan He +4
In recent years, ensuring safety, efficiency, and comfort in interactive autonomous driving has become a critical challenge. Traditional model-based techniques, such as game-theore…
Enhanced Mean Field Game for Interactive Decision-Making with Varied Stylish Multi-Vehicles
Liancheng Zheng, Zhen Tian, Yangfan He +4
This paper presents an MFG-based decision-making framework for autonomous driving in heterogeneous traffic. To capture diverse human behaviors, we propose a quantitative driving st…