Max Robotics — Global Service Robot Directory + US Certification

About

Yang Lei is a leading researcher in the field of robotic machining, with a primary focus on improving the precision and stability of industrial robots for milling operations. His work addresses a critical challenge: while robots offer flexibility and low cost compared to machine tools, their inherent compliance leads to vibrations and poor accuracy. Lei’s major contributions include pioneering the use of multi-task Gaussian process regressions to predict posture-dependent tool tip dynamics, a breakthrough that enables more stable robotic milling. His research on pose optimization based on surface location error has provided a direct method to enhance machining accuracy, while his recent work on chatter-free process parameter optimization for pocket machining with spiral tool paths pushes the boundaries of autonomous manufacturing. With over 56 citations across his top papers, Lei’s impact is evident in both academic and industrial contexts. His studies on joint kinematics and dynamics, using tools like ADAMS and ANSYS, further demonstrate his comprehensive approach to robot structure design and service life assessment. Yang Lei’s work is essential reading for anyone interested in the future of flexible, high-precision robotic manufacturing.