Chi-Wing Fu
Papers
1
Total Citations
2
H-Index
1
About
Chi-Wing Fu is a pioneering researcher at the intersection of robotics, computer vision, and artificial intelligence, with a core focus on advancing robotic manipulation through foundation models. His most notable contribution is the development of "Fast-in-Slow," a dual-system foundation model that elegantly unifies rapid manipulation execution with deliberate, high-level reasoning. This work addresses two fundamental challenges in robotics: policy generalization and execution efficiency. By integrating the common-sense reasoning capabilities of internet-scale pretrained vision-language models (VLMs) with a fast, reactive control system, Fu's framework enables robots to perform complex tasks with both intelligence and speed—overcoming the low execution frequency that plagues many VLM-based approaches. Although recently published in 2025, this work has already garnered attention for its innovative architecture that bridges the gap between slow, thoughtful planning and fast, dexterous action. Fu's research is shaping the future of embodied AI, offering a scalable path toward robots that can reason like humans while moving with precision and agility.
Research Focus
Key Achievements
Top Papers
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