This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignees: Qingdao University of Technology, Ebei University of Technology, Shandong University. Active years: 2021-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Shandong, CN (2021 - 2022)
- Qingdao, CN (2022)
Company Filing History:

Years Active: 2021-2025
Title: Innovations of Dongnian Li
Introduction
Dongnian Li is a prominent inventor based in Shandong, China. He has made significant contributions to the field of robotics and automation, holding a total of 4 patents. His work focuses on developing advanced systems that enhance robotic capabilities and improve teleoperation environments.
Latest Patents
One of his latest patents is a digital twin modeling method and system for assembling a robotic teleoperation environment. This innovative method involves capturing images of the teleoperation environment, identifying parts being assembled, and generating three-dimensional models to facilitate the assembly process. Another notable patent is a robot teaching system based on image segmentation and surface electromyography. This system utilizes a RGB-D camera and a surface electromyography sensor to enhance the interaction between humans and robots during teaching scenarios.
Career Highlights
Dongnian Li has worked at esteemed institutions such as Qingdao University of Technology and Shandong University. His experience in these organizations has allowed him to collaborate with other experts in the field and contribute to groundbreaking research and development.
Collaborations
Some of his notable coworkers include Chengjun Chen and Jun Hong. Their collaborative efforts have further advanced the innovations in robotic systems and teleoperation technologies.
Conclusion
Dongnian Li's contributions to robotics and automation through his patents and career achievements highlight his role as a leading inventor in the field. His innovative approaches continue to shape the future of robotic technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile