This inventor holds 1 USPTO granted patent. Top assignee: Dalian University of Technology. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Bo Dong - Innovator in Robotic Navigation
Introduction
Bo Dong is a notable inventor based in Liaoning, China. He has made significant contributions to the field of robotics, particularly in the area of obstacle avoidance in degraded environments. His innovative approach combines advanced technology with practical applications, showcasing his expertise in the field.
Latest Patents
Bo Dong holds a patent for a method titled "Method for obstacle avoidance in degraded environments of robots based on intrinsic plasticity of SNN." This method involves a decision network within a synaptic autonomous learning module that processes lidar data, distance from a target point, and previous velocity as state inputs. The output is the velocity of the robot's left and right wheels, achieved through the autonomous adjustment of the dynamic energy-time threshold. This innovation addresses the challenges posed by the lack of intrinsic plasticity in spiking neural networks (SNN), enabling mobile robots to maintain a stable trigger rate for autonomous navigation and obstacle avoidance in various degraded, disturbed, and noisy environments.
Career Highlights
Bo Dong is affiliated with Dalian University of Technology, where he continues to advance his research and development in robotics. His work has been instrumental in enhancing the capabilities of robots to operate effectively in challenging conditions.
Collaborations
Bo Dong collaborates with esteemed colleagues such as Xin Yang and Jianchuan Ding, contributing to a dynamic research environment that fosters innovation and technological advancement.
Conclusion
Bo Dong's contributions to robotic navigation through his patented method exemplify the intersection of technology and practical application. His work not only addresses current challenges in robotics but also paves the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile