Shaolei Wang

Papers

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About

Shaolei Wang is a leading researcher in the field of collaborative robotics, with a specific focus on safety and risk analysis in human-robot interaction. His work addresses the critical challenges posed by the increasing integration of robots into dynamic industrial environments, such as automated warehouses and manufacturing floors. Wang's most influential contribution is his 2018 paper on "Risk Assessment for Human-Robot Collaboration in an automated warehouse scenario," which has garnered 72 citations and established a foundational framework for evaluating and mitigating new risks that arise when humans and robots work in close proximity. Building on this, his 2019 work on "AI-based Safety Analysis for Collaborative Mobile Robots" (17 citations) pioneers the use of artificial intelligence—combining fuzzy logic and deep learning-based perception—to create safer, more responsive robotic systems. By encoding environmental context through scene graphs, Wang's research enables robots to better understand and react to their surroundings, directly enhancing operational safety. His contributions are pivotal for advancing the practical deployment of collaborative robots, ensuring that increased productivity does not come at the cost of worker safety.