Papers
7
Total Citations
135
H-Index
4
About
Deyi Li is a pioneering researcher whose work bridges robotics, artificial intelligence, and autonomous systems. His primary research areas include multi-robot formation control, interactive and learnable wheeled robots, and the philosophical foundations of machine consciousness. Li’s most significant contributions lie in advancing cooperative robotics, where his 2013 study on formation control—cited 31 times—provides a comprehensive overview of the challenges and state-of-the-art solutions for coordinating multiple robots. He also introduced the concept of “non-direction” robots, exploring robust stability and stabilization for uncertain Lur’e singular delay systems, a foundational idea for non-holonomic robotic platforms. More recently, Li has focused on future vehicles as interactive and learnable wheeled robots (with 40 and 35 citations, respectively), emphasizing adaptive, human-like behavior in autonomous systems. His thought-provoking 2021 paper “Why AI still doesn’t have consciousness?” (21 citations) delves into the roots of biological intelligence and the limitations of current AI, sparking debate on whether machines can achieve true awareness. With a career spanning from foundational control theory to cutting-edge AI philosophy, Li’s work continues to inspire researchers exploring the intersection of robotics, intelligence, and autonomy.
Research Focus
Key Achievements
Top Papers
- 1Future vehicles: interactive wheeled robots40 citations · 2021
- 2Future vehicles: learnable wheeled robots35 citations · 2020
- 3Study on Formation Control of Multi-Robot Systems31 citations · 2013
- 4Why AI still doesn’t have consciousness?21 citations · 2021
- 5
- 6AI research and development in the network age3 citations · 2009
- 7