Ji Shi

Peking University, California University of Pennsylvania, Beijing Chaoyang Emergency Medical Center

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About

Ji Shi’s research lies at the intersection of computer vision, robotics, and intelligent systems, with a primary focus on robust camera relocalization and semantic perception for autonomous navigation. Shi’s most impactful contribution is the development of a neural routing framework that leverages space partitions to achieve reliable camera pose estimation in dynamic indoor environments—a critical capability for scene mapping, robot navigation, and augmented reality. This work, published in 2021, has garnered 27 citations, reflecting its significance in addressing the challenge of localizing cameras amidst moving objects and changing scenes. Earlier, Shi advanced the field of ground robotics through foundational work on semantic perception, enabling unmanned ground vehicles to not only detect objects but also understand spatial relationships and human intent from sensor data. This research, cited 7 times, laid groundwork for more context-aware robotic systems. Additionally, Shi explored the intersection of robotics and architecture with an actuated, face-detecting transforming structure, demonstrating a novel application of robotics in built environments. Through these contributions, Ji Shi has established a reputation for bridging theoretical advances in perception with practical, deployable robotic systems.