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About

Yanlei Ye is a leading researcher in collaborative robotics and real-time robotic control systems. Her work focuses on the critical intersection of robot performance optimization, human-robot interaction, and sensor design for intelligent automation. Ye’s most cited paper, “ROS2 Real-time Performance Optimization and Evaluation” (2023, 36 citations), addresses the fundamental challenge of enabling reliable, deterministic system execution for robots operating in uncertain and dynamic environments—essential for tasks like visual perception, force interaction, and motion planning. She also developed the SHUYU Robot, an automatic rapid temperature screening system (2020, 17 citations), demonstrating her ability to translate research into practical, impactful solutions. Ye’s contributions extend to novel force-sensed human-robot interfaces for intuitive teleoperation of 6-DOF manipulators, real-time control system design using PREEMPT_RT, and torque sensor development for modular collaborative robot joints. Her work on passivity-based elastic joint robot control with online gravity compensation (2016) further showcases her depth in control theory. With over 68 total citations and a portfolio spanning real-time performance, sensor innovation, and teleoperation, Yanlei Ye is shaping the future of safe, responsive, and high-performance robotic systems.