Hengjia Xiao
Papers
1
Total Citations
2
H-Index
1
About
Hengjia Xiao is a robotics researcher whose work sits at the intersection of large language models (LLMs) and autonomous navigation. His primary research areas include human-in-the-loop AI, path planning for mobile embodied agents, and interactive robotic systems. Xiao’s most notable contribution is the development of the “LLM A*” framework, a novel approach that integrates the commonsense reasoning of LLMs with the utility-optimal A* search algorithm. This framework enables robots to perform path planning in a more intuitive, human-guided manner, allowing for real-time interaction and adaptation. While still early in its citation impact, with 2 citations since 2023, the work represents a forward-looking synthesis of symbolic planning and neural language models. Xiao’s research is particularly significant for its emphasis on human-in-the-loop interaction, addressing a critical gap in making autonomous systems more transparent and controllable. His work is poised to influence the next generation of assistive and service robots, where safe, explainable, and collaborative navigation is paramount.
Research Focus
Key Achievements
Top Papers
- 1