Papers
2
Total Citations
11
H-Index
2
About
Dr. Baolei Wu is a rising researcher in human-robot interaction (HRI) and assistive robotics, with a focus on making robotic systems more intuitive, expressive, and accessible. His work bridges the gap between human motion and robotic execution, particularly through motion imitation and real-time collaboration. In his highly cited 2024 paper, "A lightweight network-based sign language robot with facial mirroring and speech system," Dr. Wu developed a compact robotic platform capable of interpreting and producing sign language gestures while mirroring human facial expressions and integrating speech—a breakthrough for inclusive communication technologies, garnering 8 citations. Building on this, his 2025 study, "Multi-Humanoid Robot Arm Motion Imitation and Collaboration Based on Improved Retargeting," addresses a core challenge in HRI: structural differences between human and robot bodies. By improving motion retargeting algorithms, he enables multiple humanoid robots to accurately imitate and collaborate on arm movements, achieving 3 citations in a short time. Dr. Wu’s contributions are laying the groundwork for more natural, cooperative human-robot teams, with potential applications in manufacturing, rehabilitation, and social robotics.
Research Focus
Key Achievements
Top Papers
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