Papers
18
Total Citations
606
H-Index
11
About
Yizhi Liu is a pioneering researcher at the intersection of human-robot collaboration (HRC), construction safety, and intelligent systems. His work focuses on developing innovative technologies that enable seamless, safe cooperation between workers and robots in complex construction environments — an industry historically plagued by labor shortages and high injury rates. Liu's most celebrated contributions involve brain-computer interfaces and physiological computing, with his brainwave-driven robot teleoperation research earning over 172 and 150 citations respectively, signaling transformative impact on hands-free robotic control. He has further advanced the field by integrating immersive technologies, wearable sensors, and generative adversarial networks to monitor workers' cognitive load and mental states in real time, enabling robots to respond intelligently to human physiological signals. Beyond neural interfaces, Liu has tackled critical safety challenges through intention-aware motion planning, multiagent fall hazard detection systems, and cyber-physical frameworks that keep workers protected within shared robotic workspaces. His exploration of back-support exoskeletons and disassembly line optimization reflects a broader commitment to worker well-being and sustainable manufacturing. Collectively accumulating over 500 citations, Liu's body of work is reshaping how the construction industry approaches human-centered automation and occupational safety.
Research Focus
Key Achievements
Top Papers
- 1Brainwave-driven human-robot collaboration in construction172 citations · 2021
- 2Brain-computer interface for hands-free teleoperation of construction robots150 citations · 2021
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- 5Intention‐aware robot motion planning for safe worker–robot collaboration28 citations · 2023
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