Yangming Shi
Papers
3
Total Citations
100
H-Index
3
About
Yangming Shi is a leading researcher at the intersection of human-robot interaction, virtual reality, and construction automation. His work focuses on making robotic teleoperation safer and more intuitive for complex industrial and construction tasks. Shi’s major contributions include developing neurobehavioral assessment frameworks for force feedback simulation—a key paper that has garnered 60 citations—and pioneering real-time hand motion prediction to safeguard construction robot teleoperation. His 2022 study on this topic (27 citations) demonstrates how predictive algorithms can prevent human-robot collisions during remote operations. Shi has also explored the cognitive benefits of human-robot collaboration through immersive VR experiments (13 citations), showing that cobots can enhance operator situational awareness and reduce mental workload in high-stakes environments. His research is notable for bridging cognitive science and robotics, offering practical safeguards and performance metrics that advance Industry 4.0 goals. With a growing citation impact, Shi’s work is shaping the future of safe, efficient human-robot teams in construction and manufacturing.
Research Focus
Key Achievements
Top Papers
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