Shichun Di
Papers
10
Total Citations
124
H-Index
6
About
Shichun Di is a leading researcher at the forefront of automating electric vehicle (EV) charging infrastructure, specializing in cable-driven robotics, computer vision, and human-robot interaction safety. Di’s most impactful work centers on developing intelligent, cable-driven manipulators capable of autonomously locating and plugging into EV charging ports. Their seminal 2020 paper, "Design of a Cable-Driven Auto-Charging Robot for Electric Vehicles," has garnered 41 citations and laid the foundation for a new generation of charging robots. Di has made significant contributions to real-time visual perception, pioneering fast identification and localization algorithms for charging ports in complex, cluttered scenes, as evidenced by their 2021 work with 37 citations. To ensure safe physical interaction, Di has also developed advanced collision localization and classification systems using deep convolutional neural networks and support vector machines. With over 120 total citations across their publications, Di’s research directly addresses critical bottlenecks in EV adoption—automation and safety—making them a key innovator in the transition to autonomous mobility. Their work on multi-vehicle port identification and self-calibrating cable-driven robots further underscores their comprehensive approach to practical, real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Design of a Cable-Driven Auto-Charging Robot for Electric Vehicles41 citations · 2020
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