This inventor holds 1 USPTO granted patent. Top assignee: Zhejiang University. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations in Robot Trajectory Planning by Chenyang Min
Introduction
Chenyang Min is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of robot trajectory planning, particularly through his innovative methods for industrial robots. His work focuses on enhancing the adaptability and efficiency of robot operations.
Latest Patents
Chenyang Min holds a patent titled "Generalization generation method of industrial robot pose trajectories supporting changeable operation path points." This patent presents a method that involves acquiring multiple groups of robot end pose trajectories. It utilizes a multi-dimensional dynamic time warping algorithm to align time steps of these trajectories. The method further constructs a Gaussian mixture model of robot pose trajectories by combining a variational Bayesian method with an attitude quaternion tangent space mapping method. Additionally, it calculates reference pose trajectory distribution through a Gaussian mixture regression method and performs kernelized representation on pose trajectory distribution. The ultimate goal is to generate robot end pose trajectories that are adapted to various operation path points.
Career Highlights
Chenyang Min is affiliated with Zhejiang University, where he continues to advance research in robotics and automation. His work has garnered attention for its practical applications in industrial settings, making significant strides in the efficiency of robotic operations.
Collaborations
Chenyang Min collaborates with esteemed colleagues, including Zhenyu Liu and Chan Qiu. Their combined expertise contributes to the innovative research and development in the field of robotics.
Conclusion
Chenyang Min's contributions to robot trajectory planning exemplify the potential of innovative methods in enhancing industrial robotics. His patent and ongoing research at Zhejiang University highlight the importance of adaptability in robotic operations.
