Papers
35
Total Citations
838
H-Index
14
About
Bitao Yao is a prominent researcher at the intersection of industrial robotics, human-robot collaboration, and smart manufacturing. His work spans several interconnected domains, including digital twin technology, physical human-robot interaction, cyber-physical production systems, and sustainable manufacturing. Yao's most significant contributions include pioneering frameworks for digital twin-based industrial cloud robotics and advancing sensorless admittance control methods that enable robots to interact safely and intuitively with human operators — both achieving 125 citations. His research on human-robot collaborative disassembly lines in remanufacturing contexts (102 citations) addresses critical challenges in sustainable production, reducing both environmental impact and manufacturing costs. His 2018 energy consumption modeling work (73 citations) reflects a strong commitment to energy efficiency in industrial robotics, aligning with broader sustainable manufacturing goals. More recently, Yao has pushed boundaries with brain-computer interface integration for augmented reality-assisted collaboration and dynamic fatigue-aware task reallocation systems, demonstrating a forward-thinking approach to worker wellbeing. Collectively, his portfolio exceeds 630 citations, marking him as an influential voice shaping the future of intelligent, human-centered manufacturing environments. His body of work is essential reading for researchers working in robotics, Industry 4.0, and remanufacturing systems.
Research Focus
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Top Papers
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- 8Digital twin-based multi-level task rescheduling for robotic assembly line28 citations · 2023
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