Beijing, China

Lue Fang

This inventor holds 1 USPTO granted patent. Top assignee: Beijing University of Technology. Active years: 2019.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Lue Fang: Innovator in Robotic Navigation Systems

Introduction

Lue Fang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of robotics, particularly in the development of navigation systems that mimic cognitive processes found in biological organisms. His innovative approach combines technology with insights from neuroscience, leading to advancements in how robots perceive and navigate their environments.

Latest Patents

Lue Fang holds a patent for a groundbreaking invention titled "Method of constructing navigation map by robot using mouse hippocampal place cell model." This patent describes a method where a robot constructs a navigation map based on the cognitive mechanisms of the rat hippocampus. The robot collects self-motion cues and color depth map information while exploring its environment. Through this exploration, spatial environment codes are formed, and a cognitive map is created, allowing the robot to navigate effectively.

Career Highlights

Lue Fang is affiliated with the Beijing University of Technology, where he continues to push the boundaries of robotic navigation. His work has garnered attention for its innovative integration of biological principles into robotic systems. With a focus on enhancing the capabilities of robots, Fang's research is paving the way for more intelligent and adaptive machines.

Collaborations

Lue Fang collaborates with notable colleagues, including Naigong Yu and Yunhe Yuan. Their combined expertise contributes to the advancement of research in robotics and cognitive modeling.

Conclusion

Lue Fang's contributions to robotic navigation systems exemplify the intersection of technology and neuroscience. His innovative methods are shaping the future of robotics, making significant strides in how machines understand and interact with their environments.

Profile summary based on public USPTO records.
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