This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignees: Google Inc., Gdm Holding LLC. Active years: 2023-2026.
Company Filing History:
Years Active: 2023-2026
Title: Innovations by Daniel Ho
Introduction
Daniel Ho is an accomplished inventor based in Fremont, CA. He has made significant contributions to the field of robotics and machine learning. With a total of 3 patents, his work focuses on bridging the gap between reality and robotic action models.
Latest Patents
One of his latest patents is titled "Mitigating reality gap through feature-level domain adaptation in training of vision-based robot action model." This invention relates to mitigating the reality gap through feature-level domain adaptation during the training of a vision-based robotic action machine learning model. The implementation utilizes embedding consistency losses and/or action consistency losses to enhance the training process.
Another notable patent is "Utilizing past contact physics in robotic manipulation (e.g., pushing) of an object." This patent involves the use of past dynamics samples that reflect contact physics information in training a neural network model. The model represents a learned value function, which can be used to select a sequence of robotic actions for manipulating objects.
Career Highlights
Daniel Ho is currently employed at Google Inc., where he continues to innovate in the field of robotics. His work has garnered attention for its practical applications in robotic manipulation and machine learning.
Collaborations
He collaborates with talented coworkers, including Zhuo Xu and Wenhao Yu, who contribute to the advancement of their projects.
Conclusion
Daniel Ho's contributions to robotics and machine learning through his patents demonstrate his innovative spirit and commitment to advancing technology. His work continues to influence the field and inspire future developments.