This inventor holds 1 USPTO granted patent. Top assignee: Beijing University of Technology. Active years: 2019.
Company Filing History:
Years Active: 2019
Title: Innovations of Yunhe Yuan in Robotic Navigation
Introduction
Yunhe Yuan 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 robotics with neuroscience, leading to advancements in how robots perceive and navigate their environments.
Latest Patents
Yunhe Yuan 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, allowing the robot to create a cognitive map of its surroundings. The system utilizes Kinect technology to gather scene views and correct errors in navigation, ensuring accurate pathfinding.
Career Highlights
Yunhe Yuan 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 cognitive science and robotics, paving the way for more advanced autonomous systems. With a focus on enhancing the capabilities of robots, Yuan's research is at the forefront of technological advancements in this field.
Collaborations
Yuan collaborates with notable colleagues, including Naigong Yu and Xiaojun Jiang. Their combined expertise contributes to the development of cutting-edge technologies that enhance robotic navigation and cognitive mapping.
Conclusion
Yunhe Yuan's contributions to robotic navigation through his innovative patent demonstrate the potential of integrating cognitive mechanisms into technology. His work not only advances the field of robotics but also opens new avenues for research and application in autonomous systems.