Weisong Shi
Papers
16
Total Citations
376
H-Index
8
About
Weisong Shi is a leading researcher at the intersection of edge computing, autonomous systems, and cyber-physical security. His work fundamentally addresses the challenge of bringing real-time intelligence to resource-constrained robotic platforms. Shi’s major contributions lie in designing low-power, high-performance edge computing frameworks—such as LoPECS and PI-Edge—that enable autonomous vehicles and mobile robots to execute complex computer-vision and navigation tasks locally, without relying on the cloud. His highly cited survey on autonomous driving security (over 150 citations) has become a foundational reference, mapping the critical vulnerabilities in this rapidly evolving field. Beyond security, Shi has advanced practical localization with LOBOT, a self-contained system for small ground robots, and explored novel sensing modalities like audio-based fall detection. His work on voice-controlled indoor robot kits and energy-efficient AMR architectures demonstrates a consistent focus on deployable, accessible robotics. With a portfolio spanning from foundational edge-computing principles to applied autonomous driving and assistive robotics, Shi’s research has garnered significant attention, shaping how the next generation of intelligent, secure, and energy-aware autonomous systems is built.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Driving Security: State of the Art and Challenges153 citations · 2021
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- 3Fall detection from audios with Audio Transformers31 citations · 2022
- 4E2M26 citations · 2019
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- 7An Industrial Robot System Based on Edge Computing: An Early Experience.15 citations · 2018
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- 9An Open Approach to Energy-Efficient Autonomous Mobile Robots8 citations · 2023
- 10Design and Implement an Enhanced Simulator for Autonomous Delivery Robot7 citations · 2022