Xiaruiqi Lan
Papers
1
Total Citations
2
H-Index
1
About
Xiaruiqi Lan is a pioneering researcher at the intersection of artificial intelligence and robotics, with a primary focus on leveraging large language models (LLMs) to automate and streamline robotic development. Lan’s most notable contribution is the groundbreaking 2023 paper, *“Automatic Robotic Development through Collaborative Framework by Large Language Models,”* which tackles the critical challenge of reducing human dependency in complex robot task allocation and collaborative teamwork. By proposing a novel framework that harnesses LLMs for autonomous code generation and multi-agent coordination, Lan has opened new pathways for more efficient, self-directed robotic systems. This work, already garnering 2 citations in its early stages, signals growing recognition of its potential to transform how robots are programmed and deployed. Lan’s research is distinguished by its practical ambition: moving beyond theoretical models to create tools that can be directly applied in real-world automation. For students and researchers exploring the future of human-robot collaboration, Lan’s work offers a compelling vision of how AI can bridge the gap between human intuition and machine execution, making complex robotic development more accessible and scalable.
Research Focus
Key Achievements
Top Papers
- 1