Bellevue, WA, United States of America

Artem Molchanov


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations by Artem Molchanov

Introduction

Artem Molchanov is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of robotics, particularly in the area of learning robotic tasks through advanced neural networks. With a total of two patents to his name, Molchanov is recognized for his innovative approaches to enhancing robotic capabilities.

Latest Patents

Molchanov's latest patents focus on enabling robots and other autonomous systems to learn tasks through the use of neural networks. These inventions allow a robot to receive data regarding task performance in the physical world. The data serves as input to a perception network, which infers a set of percepts about the task, corresponding to relationships between observed objects. This information is then processed by a plan generation network to create a set of actions as part of a plan. The plan can be reviewed and corrected, either manually or through additional demonstrations. Once verified, the plan is input into an execution network that generates instructions for the robot to perform the task.

Career Highlights

Artem Molchanov is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia has allowed him to collaborate with cutting-edge technologies and contribute to the development of innovative robotic systems.

Collaborations

Some of Molchanov's notable coworkers include Jonathan Tremblay and Stan Birchfield. Their collaboration has fostered an environment of creativity and innovation, leading to the development of groundbreaking technologies in robotics.

Conclusion

Artem Molchanov's contributions to robotics through his patents and work at Nvidia Corporation highlight his role as a key innovator in the field. His advancements in learning robotic tasks using neural networks pave the way for future developments in autonomous systems.

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