Wu Shi

Peng Cheng Laboratory

Papers

1

Total Citations

36

H-Index

1

About

Wu Shi is a leading researcher in the field of advanced optical sensing for robotics, with a primary focus on frequency-modulated continuous-wave (FMCW) LiDAR technology. His most impactful work, "Highly-time-resolved FMCW LiDAR with synchronously-nonlinearity-corrected acquisition for dynamic locomotion" (2023, 36 citations), addresses a critical challenge in legged robotics: the need for ultra-precise, real-time tracking of position, velocity, and acceleration during highly dynamic movements like walking, trotting, and jumping. Shi’s major contribution lies in developing a synchronously-nonlinearity-corrected acquisition method that significantly enhances the time resolution and accuracy of FMCW LiDAR, enabling robots to perceive and react to their environment with unprecedented speed and precision. This breakthrough is essential for advancing the agility and stability of autonomous systems in complex, real-world settings. By pushing the boundaries of short-distance ranging, Shi’s work has garnered attention from both the robotics and photonics communities, establishing him as a key innovator in sensor technology for dynamic locomotion.

Research Focus

Key Achievements

1
H-Index
1
Papers
36
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Highly-time-resolved FMCW LiDAR with synchronously-nonlinearity-corrected acquisition for dynamic locomotion
36 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Peng Cheng Laboratory

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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