Company Filing History:
Years Active: 2025
Title: Innovations of Lars Petter Johnsen in Mobile Robotics
Introduction
Lars Petter Johnsen is an accomplished inventor based in Seattle, WA (US). He has made significant contributions to the field of mobile robotics, particularly in the area of self-diagnostic systems. His innovative work has the potential to enhance the functionality and reliability of mobile robots in various applications.
Latest Patents
Lars Petter Johnsen holds a patent for a "Self-diagnostic fiducial classifier for mobile robots." This patent describes techniques that enable mobile robots to perform self-diagnostic fiducial classification. For instance, a mobile robot can identify when an expected fiducial marker has not been detected while navigating using fiducial markers on a surface. In response to this detection, the mobile robot generates input for a machine learning model that can be executed on the robot itself. The input includes images of the surface captured by the robot. The machine learning model is trained to produce an output that classifies the image data based on the input. Consequently, the mobile robot can determine an error event related to the expected fiducial marker based on the classification of the image data received from the model. The robot can then output a notification indicating the error event associated with the expected fiducial marker. Lars Petter Johnsen has 1 patent to his name.
Career Highlights
Lars Petter Johnsen is currently employed at Amazon Technologies, Inc., where he continues to innovate in the field of robotics. His work focuses on improving the capabilities of mobile robots, making them more efficient and reliable in their operations.
Collaborations
One of his notable coworkers is Nicholas A Smith, with whom he collaborates on various projects related to mobile robotics.
Conclusion
Lars Petter Johnsen's contributions to mobile robotics through his innovative patent demonstrate his expertise and commitment to advancing technology in this field. His work is paving the way for more intelligent and self-sufficient mobile robots.