Wen-Ching Chen
Papers
2
Total Citations
11
H-Index
1
About
Wen-Ching Chen is a leading researcher in energy-efficient AI accelerators and motion-control systems for autonomous robotics. His work focuses on enabling real-time, low-power intelligence for edge devices, particularly in autonomous mobile robots (AMRs) and advanced driver-assistance systems (ADAS). Chen’s major contributions include the design of a 28nm motion-control SoC that achieves 142mW power consumption for AMRs, a critical advancement for smart factory automation and disaster rescue missions. This work has garnered 10 citations and is recognized for its impact on practical, low-power robotic systems. More recently, Chen developed a 16nm CNN processor delivering 5.7 TOPS/W, supporting bi-directional feature pyramid networks for small-object detection in high-resolution videos—a life-saving capability for ADAS and autonomous vehicles. His research bridges the gap between algorithmic innovation and silicon implementation, pushing the boundaries of on-device AI. With a strong publication record in top-tier conferences, Chen’s work is shaping the future of efficient, intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 12.5 A 28nm 142mW Motion-Control SoC for Autonomous Mobile Robots10 citations · 2023
- 2