Shi Shi
Papers
2
Total Citations
15
H-Index
2
About
Shi Shi’s research bridges the frontiers of photonic sensing and robotic manipulation, with a primary focus on advancing solid-state LiDAR systems for 3D imaging. Their most cited work, from 2022, details a direct time-of-flight (dToF) LiDAR system featuring an eight-channel addressable 20W/ch transmitter paired with a 128x128 SPAD receiver. This design introduces SNR-based pixel binning and resolution upscaling, enabling high-performance depth capture for applications like autonomous driving, robotic vision, and augmented reality—a contribution that has already garnered 11 citations. Earlier in their career, Shi developed an underactuated self-adaptive robotic hand (2004), a five-fingered end effector that mimics human hand size while maintaining mechanical simplicity and strong adaptive grasping capabilities. This work, with 4 citations, demonstrates Shi’s versatility in tackling both optoelectronic and mechatronic challenges. By integrating high-power transmission with advanced receiver architectures, Shi has pushed the boundaries of LiDAR efficiency and spatial resolution, offering practical solutions for real-world 3D sensing. Their dual expertise in adaptive robotics and photonic systems marks them as a researcher adept at translating complex physical principles into deployable technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of the Underactuated Self-adaptive Robotic Hand4 citations · 2004