Papers
9
Total Citations
131
H-Index
6
About
Hanlei Sun is an emerging researcher specializing in human-robot collaboration, electromyography (EMG)-based interaction systems, and robot skill learning — fields at the intersection of robotics, human-computer interaction, and artificial intelligence. Sun's most influential contributions center on developing sophisticated systems that enable robots to interpret and respond to human motion intentions through EMG signals, with landmark 2022 papers accumulating 50 and 28 citations respectively, establishing a strong foundation in intuitive human-robot communication. A distinguishing thread throughout Sun's work is the ambition to transfer uniquely human capabilities — perceptual judgment, dynamic strength estimation, and speed adaptation — into robotic systems. Notable contributions include a transfer reinforcement learning model for replicating human speed-adjustment skills and a hierarchical imitation learning algorithm enabling robots to perform expert-level assembly tasks. Sun has also advanced the field into complex, unstructured environments, including museum exhibition assembly, demonstrating a commitment to real-world applicability beyond controlled industrial settings. With over 130 cumulative citations and a rapidly expanding publication record from 2021 to 2025, Sun represents a promising voice in next-generation collaborative robotics research, bridging the gap between human dexterity and machine precision.
Research Focus
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Top Papers
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