Xirui Yang
Papers
1
Total Citations
6
H-Index
1
About
Xirui Yang is a leading researcher at the forefront of safe and autonomous robot task planning, with a particular focus on integrating large pre-trained models into robotic systems. Their most impactful work, "Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning" (2025), addresses a critical gap in the field: while large models excel at planning complex, long-horizon tasks, they often lack inherent safety awareness. Yang’s key contribution is a framework that infuses safety constraints directly into the planning process, enabling robots to autonomously navigate challenging environments without compromising human or operational safety. This work has already garnered 6 citations in its first year, signaling its rapid influence. By bridging the divide between high-level reasoning and real-world safety, Yang is shaping the next generation of autonomous systems, making them both more capable and more trustworthy. Their research is essential reading for anyone working at the intersection of robotics, AI safety, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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