This inventor holds 1 USPTO granted patent. Top assignee: Shanghai Jiao Tong University. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations by Xiaoye Shen in Agricultural Robotics
Introduction
Xiaoye Shen is an accomplished inventor based in Shanghai, China. He has made significant contributions to the field of robotics, particularly in agricultural applications. His innovative approach focuses on enhancing the efficiency of robotic systems in uncalibrated environments.
Latest Patents
Xiaoye Shen holds a patent for a "Method and device for collaborative servo control of motion vision of robot in uncalibrated agricultural scene." This invention provides a device and method for collaborative servo control of a robot's motion vision in agricultural settings that lack precise spatial calibration. The device comprises a robot arm equipped with a mechanical gripper, an image sensor, and a control module. The control module drives the mechanical gripper to grasp a target object while simultaneously controlling the image sensor to sample images during the gripping process. This innovative approach eliminates the need for precise spatial calibration, allowing the robot arm to complete its tasks based on trained networks.
Career Highlights
Xiaoye Shen is affiliated with Shanghai Jiao Tong University, where he continues to advance research in robotics and automation. His work has garnered attention for its practical applications in agriculture, showcasing the potential of robotics to improve efficiency in this vital sector.
Collaborations
Xiaoye has collaborated with notable colleagues, including Chengliang Liu and Liang Gong, who contribute to his research endeavors. Their combined expertise enhances the development of innovative solutions in robotics.
Conclusion
Xiaoye Shen's contributions to agricultural robotics exemplify the intersection of technology and practical application. His patent reflects a significant advancement in the field, paving the way for more efficient robotic systems in agriculture.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
