Boxin Shi

National Institute of Advanced Industrial Science and Technology, Peking University

Papers

Total Citations

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About

Boxin Shi is a leading researcher at the intersection of robotics, computer vision, and computational imaging. His work focuses on enabling robots to perceive and interact with the physical world more robustly, particularly under challenging conditions such as high-speed motion, extreme lighting, and low-cost hardware constraints. A key contribution is his pioneering work on **multirobot object transport via robust caging**, which demonstrated how a group of simple, low-cost robots can reliably manipulate objects without requiring high-precision control—a foundational idea for scalable swarm robotics. This paper has garnered 57 citations, reflecting its impact on the field. Shi has also advanced **neuromorphic vision** through his work on guided event filtering, synergizing traditional intensity images with event-based sensors to achieve high-performance imaging in high dynamic range and fast motion scenarios (33 citations). Most recently, his research on **GelLight** systematically models and optimizes illumination for camera-based tactile sensors, a critical step toward high-fidelity robotic touch. By bridging sensing, control, and imaging, Boxin Shi’s work is shaping the future of autonomous systems that see, feel, and act with greater intelligence.