Liupeng Yan

Title: Innovations by Liupeng Yan in Industrial Robotics

Introduction

Liupeng Yan is a notable inventor based in Shanghai, China. He has made significant contributions to the field of industrial robotics. His work focuses on enhancing the functionality and precision of industrial robots through innovative calibration methods.

Latest Patents

Liupeng Yan holds 1 patent related to a calibration method and apparatus for industrial robots. This patent includes a three-dimensional environment modeling method and device for industrial robots, as well as a computer storage medium and an industrial robot operating platform. The calibration method involves receiving a first model of the industrial robot, which is synchronized with the robot's pose state at a specific position in an actual environment. It also includes receiving an environment model around the robot, which contains a second model of the industrial robot. The process obtains registration information of the second model by selecting at least three corresponding non-collinear point pairs in both models to perform registration. Finally, based on this registration information, the method calibrates the coordinate system of the environment model to the base coordinate system of the industrial robot.

Career Highlights

Liupeng Yan is currently employed at Robert Bosch, a leading global engineering and technology company. His role involves developing advanced technologies that improve the efficiency and accuracy of industrial robots. His expertise in calibration methods has positioned him as a key player in the robotics sector.

Collaborations

Liupeng Yan collaborates with talented coworkers, including Wan Ding and William Wang. Together, they work on innovative projects that push the boundaries of industrial robotics.

Conclusion

Liupeng Yan's contributions to industrial robotics through his innovative calibration methods demonstrate his commitment to advancing technology in this field. His work not only enhances the capabilities of industrial robots but also sets a foundation for future innovations.