Toronto, Canada

Runsheng Guo

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Runsheng Guo

Introduction

Runsheng Guo 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, making them more efficient and effective in navigating complex environments.

Latest Patents

Runsheng Guo 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. It also involves extracting feature vectors from the feature map, combining them into an input vector, and processing this vector through a score neural network model to obtain a projected score for the candidate trajectory. Ultimately, the system selects the candidate trajectory based on the projected score and implements it.

Career Highlights

Runsheng Guo has made notable strides in his career, particularly in the realm of autonomous systems. His innovative approach to trajectory value learning has positioned him as a key figure in the industry. He is currently associated with Waabi Innovation Inc., where he continues to push the boundaries of technology.

Collaborations

Runsheng collaborates with talented individuals such as Chris Jia Han Zhang and Wenyuan Zeng. Their combined expertise contributes to the advancement of innovative solutions in the field of autonomous systems.

Conclusion

Runsheng Guo's contributions to the field of autonomous systems through his patent and collaborative efforts highlight his innovative spirit and dedication to advancing technology. His work is paving the way for more intelligent and capable autonomous systems in the future.

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