Papers
7
Total Citations
33
H-Index
3
About
Ronglei Sun is a leading researcher in collaborative robotics and rehabilitation exoskeletons, with a focus on intelligent payload identification and human-robot interaction. His most impactful work, "Online Identification of Payload Inertial Parameters Using Ensemble Learning for Collaborative Robots" (2023, 13 citations), introduces a novel ensemble learning approach that enables cobots to rapidly and safely adapt to unknown payloads in dynamic manufacturing environments—a critical challenge for Industry 4.0. Building on this, his 2024 paper (3 citations) addresses catastrophic forgetting in incremental learning, further advancing real-time adaptability. Sun has also made foundational contributions to rehabilitation robotics, including the design of a 9-DOF upper limb exoskeleton driven by pneumatic muscles (2011, 5 citations) and ergonomic shoulder actuation mechanisms (2009, 3 citations). His work on manipulator workspace boundary extraction (2009, 4 citations) provides essential tools for exoskeleton design and human upper extremity analysis. With over 30 citations across his most-cited papers, Sun’s research bridges machine learning, mechanical design, and control systems, offering practical solutions for flexible automation and assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 6The Flexible Robot Arm Simulation System Based on ADAMS and Simulink3 citations · 2006
- 7An Anti-aliasing and De-noising Hybrid Algorithm for Wavelet Transform2 citations · 2013