Company Filing History:
Years Active: 2022
Title: Innovations of Jianhui Deng in Soft Robotics
Introduction
Jianhui Deng is a notable inventor based in Liaoning, China. He has made significant contributions to the field of soft robotics, particularly through his innovative patent that enhances the functionality of soft robotic systems. His work focuses on the development of a magnetic-induced stiffness changed soft robot drive module, which showcases his expertise in engineering and robotics.
Latest Patents
Jianhui Deng holds a patent for a "Magnetic-induced stiffness changed soft robot drive module and production method thereof." This invention includes a magnetic-induced stiffness changed layer, a two-degree-of-freedom pneumatic driver, a magnetic core, and a sealing fixing device. The design allows for the magnetic-induced stiffness changed layer and the pneumatic driver to be printed and formed together. The magnetic core can deform with the driver and generates a magnetic field when energized. This innovative module enables fast, reversible, and controllable stiffness adjustments under the influence of an electromagnetic field, enhancing the performance and control of soft robots.
Career Highlights
Jianhui Deng is affiliated with Dalian University of Technology, where he continues to advance research in robotics and engineering. His work has garnered attention for its practical applications in various fields, including automation and medical devices. His patent reflects a deep understanding of material science and robotics, positioning him as a key figure in the development of advanced robotic systems.
Collaborations
Jianhui Deng collaborates with esteemed colleagues such as Te Li and Yongqing Wang. Their combined expertise contributes to the innovative research and development efforts at Dalian University of Technology.
Conclusion
Jianhui Deng's contributions to soft robotics through his patented inventions highlight the potential of magnetic-induced technologies in enhancing robotic systems. His work not only advances the field but also opens new avenues for future research and applications in robotics.