Location History:
- Redwood City, CA (US) (2020 - 2022)
- Plantation, FL (US) (2022)
Company Filing History:
Years Active: 2020-2024
Title: The Innovations of Frederick Dennis Zyda
Introduction
Frederick Dennis Zyda is a notable inventor based in Redwood City, CA. He has made significant contributions to the field of robotics, holding a total of 5 patents. His work focuses on improving robotic systems through innovative architectures and methodologies.
Latest Patents
One of Zyda's latest patents is titled "Mode architecture for general purpose robotics." This invention provides an improved method, system, and apparatus to implement a general architecture for robot systems. The invention includes a mode execution module that universally executes execution modes on different robotic systems. The system comprises an execution module that receives software instructions in a normalized programming language. Additionally, it features an interface with a translation layer that converts the software instructions from the normalized language into robot-specific instructions that operate in a particular robotic system. Furthermore, the system includes a controller that is communicatively coupled to the interface, allowing it to receive the robot-specific instructions. Ultimately, the system includes a robotic device that is operatively controlled by the controller through the execution of the robot-specific instructions.
Career Highlights
Zyda is currently employed at Magic Leap, Inc., where he continues to develop innovative solutions in robotics. His work has garnered attention for its potential to enhance the functionality and versatility of robotic systems.
Collaborations
Some of his notable coworkers include Jeffrey Steven Kranski and Vikram Chauhan, who contribute to the collaborative environment at Magic Leap, Inc.
Conclusion
Frederick Dennis Zyda's contributions to robotics through his patents and work at Magic Leap, Inc. highlight his innovative spirit and dedication to advancing technology in this field. His inventions pave the way for more efficient and adaptable robotic systems.
