Company Filing History:
Years Active: 2020-2024
Title: Devesh Yamparala: Innovator in Robotics and Human Interaction
Introduction
Devesh Yamparala is a prominent inventor based in Mountain View, CA. He has made significant contributions to the field of robotics, particularly in the area of human-robot interaction. With a total of 5 patents to his name, Yamparala is recognized for his innovative approaches to improving robotic actions through human corrections.
Latest Patents
One of his latest patents focuses on "Determining and utilizing corrections to robot actions." This invention encompasses methods, apparatus, and computer-readable media designed to identify and implement human corrections to robotic actions. In various implementations, when a human correction is detected, a correction instance is generated that includes relevant sensor data captured by the robot's sensors. This correction instance may also contain identified incorrect parameters used during the robot's action and correction information based on the human input. The generated correction instance can be utilized to create training examples for training models, such as neural networks, that help in determining the incorrect parameters. Furthermore, the training can be based on correction instances from multiple robots, allowing for a revised model to be utilized across various robotic systems.
Career Highlights
Throughout his career, Devesh Yamparala has worked with notable companies, including X Development LLC and Google Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in robotics and artificial intelligence.
Collaborations
Yamparala has collaborated with talented individuals such as Nicolas Hudson and Umashankar Nagarajan. These partnerships have fostered innovation and creativity in his work, leading to advancements in robotic technology.
Conclusion
Devesh Yamparala is a key figure in the robotics industry, known for his innovative patents and contributions to human-robot interaction. His work continues to influence the development of smarter and more responsive robotic systems.