Yuanrui Li
Papers
1
Total Citations
55
H-Index
1
About
Yuanrui Li is a pioneering researcher in neuromorphic computing and mobile robotics, with a focus on energy-efficient hardware-software co-design. His most impactful work introduces a memristor-based hybrid analog-digital computing platform for mobile robotics, demonstrating how emerging memory technologies can overcome the energy and latency bottlenecks of purely digital systems. This 2020 paper, with 55 citations, has become a foundational reference for integrating memristive devices into real-time robotic control, enabling more responsive and power-savvy autonomous systems. Li’s contributions bridge device physics and robotics, showing that analog computing with memristors can efficiently handle sensorimotor tasks like obstacle avoidance and path planning. His research has been recognized for advancing the practical deployment of neuromorphic hardware beyond simulation, offering a viable path toward low-power, brain-inspired robots. By merging circuit-level innovation with system-level application, Li is shaping the future of edge computing in robotics, where energy constraints demand novel computational paradigms.
Research Focus
Key Achievements
Top Papers
- 1