Xinyan Tong
Papers
1
Total Citations
2
H-Index
1
About
Xinyan Tong is a pioneering researcher at the intersection of artificial intelligence and robotics, with a primary focus on developing intelligent, general-purpose service robots capable of operating in unstructured human environments. Her most notable contribution lies in integrating Large Language Models (LLMs) with robotic task planning, specifically addressing the critical challenge of exceptional handling during autonomous operation. In her seminal 2024 work, Tong demonstrated how LLMs can be leveraged to not only generate coherent action sequences from natural language instructions but also to dynamically adapt to unexpected situations—a key bottleneck in real-world deployment. This research, already garnering 2 citations in its first year, lays the groundwork for robots that can judiciously deploy fundamental behaviors in daily life settings. By bridging the gap between high-level language understanding and low-level robotic control, Tong is advancing the frontier of embodied AI, making service robots more practical, resilient, and responsive to the complexities of human-centric environments.
Research Focus
Key Achievements
Top Papers
- 1