loadpatents
name:-0.017039060592651
name:-0.0066988468170166
name:-0.011549234390259
Tremblay; Jonathan Patent Filings

Tremblay; Jonathan

Patent Applications and Registrations

Patent applications and USPTO patent grants for Tremblay; Jonathan.The latest application filed is for "single-stage category-level object pose estimation".

Company Profile
11.6.17
  • Tremblay; Jonathan - Redmond WA
  • Tremblay; Jonathan - St-Roch de l'Achigan CA
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Single-stage Category-level Object Pose Estimation
App 20220277472 - Birchfield; Stanley Thomas ;   et al.
2022-09-01
Determining a three-dimensional representation of a scene
Grant 11,417,063 - Lin , et al. August 16, 2
2022-08-16
Few-shot viewpoint estimation
Grant 11,375,176 - Tseng , et al. June 28, 2
2022-06-28
Transformation Of Joint Space Coordinates Using Machine Learning
App 20220134537 - Chadalavada Vijay Kumar; Visak ;   et al.
2022-05-05
Machine Learning Model For Task And Motion Planning
App 20220126445 - Zhu; Yuke ;   et al.
2022-04-28
Determining A Three-dimensional Representation Of A Scene
App 20220068024 - Lin; Yunzhi ;   et al.
2022-03-03
Neural Network Model Trained Using Generated Synthetic Images
App 20220044075 - Tremblay; Jonathan ;   et al.
2022-02-10
Learning Robotic Tasks Using One Or More Neural Networks
App 20210390653 - Tremblay; Jonathan ;   et al.
2021-12-16
Generation of synthetic images for training a neural network model
Grant 11,182,649 - Tremblay , et al. November 23, 2
2021-11-23
Detecting and estimating the pose of an object using a neural network model
Grant 11,074,717 - Tremblay , et al. July 27, 2
2021-07-27
Guided Uncertainty-aware Policy Optimization: Combining Model-free And Model-based Strategies For Sample-efficient Learning
App 20210146531 - Tremblay; Jonathan ;   et al.
2021-05-20
Reinforcement Learning Of Tactile Grasp Policies
App 20210125052 - Tremblay; Jonathan ;   et al.
2021-04-29
Determining Object Orientation From An Image With Machine Learning
App 20210125036 - Tremblay; Jonathan ;   et al.
2021-04-29
Pose Determination Using One Or More Neural Networks
App 20210118166 - Tremblay; Jonathan ;   et al.
2021-04-22
Generation Of Synthetic Images For Training A Neural Network Model
App 20210097346 - Tremblay; Jonathan ;   et al.
2021-04-01
Generation of synthetic images for training a neural network model
Grant 10,867,214 - Tremblay , et al. December 15, 2
2020-12-15
Object-to-robot Pose Estimation From A Single Rgb Image
App 20200311855 - Tremblay; Jonathan ;   et al.
2020-10-01
Few-shot Viewpoint Estimation
App 20200252600 - Kind Code
2020-08-06
Robotic Control System
App 20200061811 - Iqbal; Shariq ;   et al.
2020-02-27
Detecting And Estimating The Pose Of An Object Using A Neural Network Model
App 20190355150 - Tremblay; Jonathan ;   et al.
2019-11-21
Generation of Synthetic Images For Training a Neural Network Model
App 20190251397 - Tremblay; Jonathan ;   et al.
2019-08-15
Learning Robotic Tasks Using One Or More Neural Networks
App 20190228495 - Tremblay; Jonathan ;   et al.
2019-07-25
Electronic sign with multiple direction positionable rear access doors
Grant 8,046,942 - Kludt , et al. November 1, 2
2011-11-01

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed