Chris Jia Han Zhang

Title: Chris Jia Han Zhang: Innovator in Autonomous Systems

Introduction

Chris Jia Han Zhang is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of autonomous systems through his innovative patent. His work focuses on enhancing the capabilities of autonomous systems by utilizing advanced learning techniques.

Latest Patents

Chris Jia Han Zhang holds a patent titled "Trajectory Value Learning for Autonomous Systems." This patent involves generating an environment image from sensor input and processing it through an image neural network to obtain a feature map. The process includes sampling possible trajectories to identify a candidate trajectory for an autonomous system. Feature vectors corresponding to the candidate trajectory are extracted from the feature map and combined into an input vector. This input vector is then processed by a score neural network model to obtain a projected score for the candidate trajectory. Ultimately, the candidate trajectory is selected based on the projected score and implemented in the autonomous system. He has 1 patent to his name.

Career Highlights

Chris is currently employed at Waabi Innovation Inc., where he continues to develop cutting-edge technologies in the field of autonomous systems. His work is instrumental in advancing the capabilities of these systems, making them more efficient and reliable.

Collaborations

Chris collaborates with talented individuals such as Runsheng Guo and Wenyuan Zeng, contributing to a dynamic and innovative work environment.

Conclusion

Chris Jia Han Zhang is a key figure in the development of autonomous systems, with a focus on trajectory value learning. His contributions are paving the way for future advancements in this exciting field.