Inventor · Redmond, WA, US

Jonathan Tremblay

18Patents
3h-index
35Co-inventors
56Inventor score

Filing activity: Sep 28, 2006 → Oct 10, 2023

Most-cited inventions

PatentTitleAreaCited byStatus
US11074717B2 Detecting and estimating the pose of an object using a neural network model Physics 8 Active
US8046942B1 Electronic sign with multiple direction positionable rear access doors Physics 6 Active
US10867214B2 Generation of synthetic images for training a neural network model Physics 4 Active
US11833681B2 Robotic control system Physics 2 Active
US12017352B2 Transformation of joint space coordinates using machine learning Physics 1 Active
US11375176B2 Few-shot viewpoint estimation Physics 1 Active
US11182649B2 Generation of synthetic images for training a neural network model Physics 1 Active
US12430702B2 Learning robotic tasks using one or more neural networks Physics 0 Active
US12175703B2 Single-stage category-level object pose estimation Physics 0 Active
US12390926B2 Machine learning model for task and motion planning Physics 0 Active
US11417063B2 Determining a three-dimensional representation of a scene Physics 0 Active
US12109701B2 Guided uncertainty-aware policy optimization: combining model-free and model-based strategies for sample-efficient learning Physics 0 Active
US12194632B2 Robotic control system Physics 0 Active
US11941719B2 Learning robotic tasks using one or more neural networks Physics 0 Active
US11941899B2 Data selection based on uncertainty quantification Physics 0 Active
US11830145B2 Generation of differentiable, manifold meshes of arbitrary genus Physics 0 Active
US11931909B2 Data selection based on uncertainty quantification Physics 0 Active
US11715251B2 Neural network model trained using generated synthetic images Physics 0 Active

Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.