This inventor holds 4 USPTO granted patents and 3 published patent applications. Top assignee: Ubtech Robotics Corp Ltd. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Meng Yan: Innovator in Robotics
Introduction
Meng Yan is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of robotics, particularly in gait planning and robot control methods. With a total of 4 patents to his name, Meng Yan continues to push the boundaries of innovation in robotic technology.
Latest Patents
Meng Yan's latest patents include a gait planning method for robots and a robot control method. The gait planning method involves constructing phase variables based on the robot's torso position and performing gait planning to obtain a planned trajectory for the robot's swing leg. This innovative approach enhances the robot's ability to navigate various terrains. The robot control method utilizes human arm motion data collected by a virtual reality device to control the robotic arm's movements. This method allows for more natural and intuitive control, making robotic interactions smoother and more flexible.
Career Highlights
Meng Yan is currently employed at Ubtech Robotics Corp Ltd, a leading company in the robotics industry. His work focuses on developing advanced robotic systems that can mimic human movements and improve automation processes. His expertise in robotics has positioned him as a key player in the field.
Collaborations
Meng Yan collaborates with talented individuals such as Chunyu Chen and Ligang Ge. Together, they work on innovative projects that aim to enhance robotic capabilities and applications.
Conclusion
Meng Yan's contributions to robotics through his patents and work at Ubtech Robotics Corp Ltd highlight his role as a leading inventor in the industry. His innovative methods in gait planning and robot control are paving the way for future advancements in robotics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
