Papers
12
Total Citations
215
H-Index
7
About
Wansong Liu is a leading researcher in human–robot collaboration (HRC), with a focus on intelligent manufacturing and remanufacturing. His work centers on developing algorithms that enable robots to work safely and efficiently alongside human workers, particularly in labor-intensive tasks like disassembly of end-of-life products. Liu’s major contributions include pioneering uncertainty-aware human motion prediction models—such as those using unscented Kalman filters and deep ensembles—that allow robots to anticipate and adapt to human behavior in real time. His highly cited 2022 paper on robot-assisted disassembly sequence planning (65 citations) and his 2023 work on task-constrained motion planning (40 citations) have set benchmarks for safe, efficient HRC. Liu has also integrated acoustic compliance into drone path planning and advanced 3D vision for robotic assembly. His research, with over 200 total citations, is shaping the future of collaborative robotics, making him a key figure in the field.
Research Focus
Key Achievements
Top Papers
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- 4Uncertainty-Assisted Image-Processing for Human-Robot Close Collaboration24 citations · 2022
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- 6DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles13 citations · 2024
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