This inventor holds 1 USPTO granted patent. Top assignee: Universitè Laval. Active years: 2025.
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
Title: Kefei Wen: Innovator in Parallel Mechanisms
Introduction
Kefei Wen is a notable inventor based in Québec, Canada. He has made significant contributions to the field of robotics and mechanical engineering. His innovative work focuses on spatial parallel mechanisms, which have various applications in automation and robotics.
Latest Patents
Kefei Wen holds a patent for a "Parallel mechanism with kinematically redundant actuation." This invention features a spatial parallel mechanism that includes a platform supported by three or more legs. Each leg is designed with a distal link and one or more distal joints that provide a rotational degree of freedom about a distal rotational axis. The proximal joint offers at least two rotational degrees of freedom at the proximal end of the distal link. The assembly of joints and links allows for various degrees of freedom for each leg, ensuring that the distal rotational axes of the three legs remain parallel to one another. This innovative design enhances the functionality and versatility of parallel mechanisms.
Career Highlights
Kefei Wen is affiliated with Université Laval, where he continues to advance his research and development in mechanical systems. His work has garnered attention for its practical applications in various industries, particularly in robotics.
Collaborations
Kefei has collaborated with esteemed colleagues such as David Harton and Clément Gosselin. Their combined expertise contributes to the advancement of knowledge in the field of parallel mechanisms and robotics.
Conclusion
Kefei Wen is a distinguished inventor whose work in parallel mechanisms showcases his innovative spirit and dedication to advancing technology. His contributions are paving the way for future developments in robotics and automation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
