Nian-Shyang Chang
Papers
2
Total Citations
11
H-Index
1
About
Nian-Shyang Chang is a leading researcher in energy-efficient AI and robotic systems, with key contributions to autonomous mobile robots (AMRs) and hardware accelerators for computer vision. His work focuses on enabling real-time, low-power motion control and object detection for intelligent systems. Notably, his 2023 paper on a 28nm motion-control SoC for AMRs—cited 10 times—demonstrates a 142mW chip that integrates perception, planning, and actuation for smart factory and disaster rescue applications, highlighting his impact on practical robotics. More recently, his 2025 paper on a 16nm CNN processor achieving 5.7 TOPS/W introduces a bi-directional feature pyramid network for small-object detection in high-resolution videos, critical for autonomous vehicles and UAVs. This work addresses life-saving applications like ADAS by improving detection of distant objects. With a focus on pushing the boundaries of edge AI, Chang’s research bridges hardware efficiency and algorithmic innovation, making him a key figure in advancing autonomous systems.
Research Focus
Key Achievements
Top Papers
- 12.5 A 28nm 142mW Motion-Control SoC for Autonomous Mobile Robots10 citations · 2023
- 2