Papers
2
Total Citations
16
H-Index
1
About
Dr. Jingquan Liu is a leading researcher at the forefront of human-robot collaboration and advanced manufacturing, with a core focus on enhancing safety and intuitive interaction in dynamic industrial environments. His most-cited work, "A multivariate fusion collision detection method for dynamic operations of human-robot collaboration systems" (2024, 15 citations), introduces a sophisticated, multi-sensor approach to real-time collision avoidance, directly addressing critical safety challenges in Industry 4.0 and 5.0 settings. This contribution is pivotal for enabling closer, more efficient human-robot teamwork. Dr. Liu is also pioneering the next generation of robot programming through his recent work, "An Augmented Reality Programming Approach to Incorporate Spatial Multimodal Interaction" (2025), which leverages AR to simplify complex task setting and user interaction for mobile robots. By fusing spatial computing with multimodal inputs, his research promises to democratize robot programming, making it more accessible and intuitive for non-experts. With a rapidly growing citation record and a clear trajectory toward impactful, applied solutions, Dr. Liu is establishing himself as a key innovator in safe, user-centric automation for the factories of the future.
Research Focus
Key Achievements
Top Papers
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