Sunjie Chen

Papers

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About

Sunjie Chen is a robotics researcher whose work centers on advancing human-robot interaction and industrial manipulator control systems. Their primary research areas include gesture-based control interfaces, real-time motion control protocols, and embedded systems for robotic automation. Chen’s most influential contribution is the development of a hand gesture-based robot control system using Leap Motion technology, a paper that has garnered 47 citations and demonstrates a novel approach to intuitive, non-contact human-robot interaction. In parallel, Chen has made significant strides in industrial robotics with two complementary works on 6-DOF manipulator control. One introduces a real-time motion control system leveraging the EtherCAT protocol to enhance synchronization and performance in multi-joint robots, while the other presents a general-purpose control architecture based on Linux and FPGA, enabling flexible programming for tasks like palletizing and handling. These contributions, though with fewer citations, address critical challenges in industrial automation—namely, the need for high-speed, deterministic control and user-friendly interfaces. Chen’s research bridges the gap between accessible gesture-based commands and robust industrial-grade control, offering practical solutions for modern robotics.