Company Filing History:
Years Active: 2024
Title: **Erwin Coumans: Innovator in Robotic Locomotion Control**
Introduction
Erwin Coumans, based in Foster City, California, is a notable inventor recognized for his contributions to the field of robotics. With a focus on agile locomotion, his innovative approach leverages machine learning to enhance the control and performance of multiped robots.
Latest Patents
Coumans holds a patent that details "Systems and methods for learning agile locomotion for multiped robots." This patent focuses on training and utilizing a machine learning model for locomotion control, where the model is thoughtfully decoupled into distinct components. One implementation includes an open loop component and a feedback component, allowing users to input desired reference trajectories, such as symmetric sine curves. Additionally, the model can be separated into a pattern generator component and a feedback component, where users can control parameters that guide the pattern generator to produce phase data resembling asymmetric sine curves. The neural network model generated by this system is instrumental in creating robot control parameters, showcasing a significant advancement in robotic technology.
Career Highlights
Currently, Erwin Coumans is employed at Google Inc., where he continues to push the boundaries of robotic systems and machine learning applications. His innovative work not only contributes to advancements in robotic locomotion but also affects how machines can interact with their environments.
Collaborations
During his career, Coumans has worked closely with notable colleagues, including Jie Tan and Tingnan Zhang. These collaborations have fostered a dynamic environment for innovation and have facilitated the sharing of ideas and techniques in robotic development.
Conclusion
Erwin Coumans stands out as an influential inventor whose work in robotic locomotion control exemplifies the intersection of innovation and technology. His unique perspective and dedication to his field contribute significantly to ongoing advancements in robotics, paving the way for future developments.