This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Gdm Holding LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Jose Enrique Chen in Robotics
Introduction
Jose Enrique Chen is an accomplished inventor based in London, GB. He has made significant contributions to the field of robotics, particularly in the coordination of multiple robots using advanced technologies. His innovative approach combines graph neural networks with practical applications in robotic control.
Latest Patents
Jose Enrique Chen holds a patent for "Coordination of multiple robots using graph neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling a plurality of robots. One of the key methods involves obtaining state data that represents the current state of the environment. From this state data, graph data is generated to represent a graph of the current state. The graph data is then processed using a graph neural network to produce a graph output, which includes updated feature representations for each robot node in the graph. Based on this graph output, respective actions are selected for each robot to perform.
Career Highlights
Jose Enrique Chen is currently employed at Gdm Holding LLC, where he continues to develop innovative solutions in robotics. His work focuses on enhancing the efficiency and effectiveness of robotic systems through advanced computational methods.
Collaborations
Some of his notable coworkers include Matthew Lai and Jonathan Karl Scholz, who contribute to the collaborative environment at Gdm Holding LLC.
Conclusion
Jose Enrique Chen's work in robotics exemplifies the intersection of innovation and technology, showcasing how advanced methodologies can enhance robotic coordination. His contributions are paving 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