Papers
1
Total Citations
20
H-Index
1
About
Pei Dai is a leading researcher in the field of teleoperation and human-robot interaction, with a particular focus on enhancing transparency and shared control in complex robotic systems. Their most-cited work, "Enhanced transparency dual-user shared control teleoperation architecture with multiple adaptive dominance factors" (2017, 20 citations), introduces a novel framework that dynamically adjusts control authority between multiple human operators and autonomous systems. This contribution addresses a critical challenge in teleoperation: balancing user intent with system stability to improve task performance in environments like remote surgery or hazardous material handling. Dai’s research integrates adaptive algorithms that optimize dominance factors in real time, enabling smoother, more intuitive collaboration between humans and machines. With a citation count that underscores the growing relevance of their work, Dai has established themselves as a key figure in advancing shared control architectures. Their achievements lay the groundwork for safer, more efficient teleoperation systems, making their research essential reading for students and engineers exploring the future of human-robot teamwork.
Research Focus
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Top Papers
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