Miguel Lazaro-Gredilla

Title: Innovations of Miguel Lazaro-Gredilla

Introduction

Miguel Lazaro-Gredilla is a prominent inventor based in Union City, CA, known for his contributions to the fields of robotics and machine learning. With a total of four patents to his name, he has made significant strides in developing methods and systems that enhance the capabilities of agents interacting with their environments.

Latest Patents

One of his latest patents is titled "Fast exploration and learning of latent graph models." This invention includes methods, systems, and apparatuses, including computer programs encoded on computer storage media, for generating a graph model that represents an environment being interacted with by an agent. The method involves obtaining experience data, updating visitation counts for state-action pairs, and computing utility measures to determine planned actions that lead to information gain. Another notable patent is the "Method and system for robot control using visual feedback." This method focuses on determining and training a generative model to control robots effectively using visual feedback.

Career Highlights

Throughout his career, Miguel has worked with notable companies such as Vicarious FPC, Inc. and DeepMind Technologies Limited. His work has significantly impacted the development of intelligent systems and robotics.

Collaborations

Miguel has collaborated with talented individuals in the field, including Dileep George and Nishad Gothoskar. Their combined expertise has contributed to advancing innovative technologies.

Conclusion

Miguel Lazaro-Gredilla's work exemplifies the intersection of innovation and technology, particularly in robotics and machine learning. His patents reflect a commitment to enhancing the capabilities of intelligent systems, making him a notable figure in the field of invention.