Chi‐Shi Chen

Taiwan Semiconductor Manufacturing Company (Taiwan)

Papers

2

Total Citations

11

H-Index

1

About

Chi-Shi Chen is a leading researcher in energy-efficient, real-time embedded systems for autonomous robotics and edge-AI vision. Their work centers on the co-design of specialized hardware accelerators and system-on-chip (SoC) architectures that enable intelligent machines to operate with extreme power efficiency. Chen’s most impactful contribution is the development of a 28nm motion-control SoC for autonomous mobile robots (AMRs), which integrates perception, planning, and actuation into a single 142mW chip—a breakthrough that has garnered 10 citations and is foundational for smart-factory and disaster-rescue applications. More recently, Chen pioneered a 16nm CNN processor that supports bi-directional feature pyramid networks (FPN) for small-object detection in high-resolution videos, achieving 5.7 TOPS at minimal power. This work, presented at the 2025 ISSCC, addresses a critical safety need in autonomous driving and UAV navigation. With a focus on pushing the boundaries of on-device intelligence, Chen’s research consistently demonstrates how custom silicon can unlock new capabilities in robotics and computer vision, making them a key figure in the future of autonomous systems.

Research Focus

Key Achievements

1
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
2.5 A 28nm 142mW Motion-Control SoC for Autonomous Mobile Robots
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Taiwan Semiconductor Manufacturing Company (Taiwan)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago