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For the Inventor, By the Inventor

Ann Arbor, MI, United States of America

Honglak Lee

USPTO Granted Patents = 11 

 

Average Co-Inventor Count = 5.1

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Mountain View, CA (US) (2020 - 2024)
  • Ann Arbor, MI (US) (2020 - 2024)

Company Filing History:

goldMedal10 out of 32,429 
 
Google Inc.
 patents
silverMedal1 out of 164,108 
 
International Business Machines Corporation
 patents
bronzeMedal1 out of 3,370 
 
University of Michigan
 patents
where one patent can have more than one assignee

Years Active: 2020-2025

where 'Filed Patents' based on already Granted Patents

11 patents (USPTO):
1. 12479093 - Data-efficient hierarchical reinforcement learning (2025-11-25),
2. 12430551 - Reinforcement learning algorithm search (2025-09-30),
3. 12112494 - Robotic manipulation using domain-invariant 3D representations predicted from 2.5D vision data (2024-10-08),
4. 12067646 - Cross-modal contrastive learning for text-to-image generation based on machine learning models (2024-08-20),
5. 12014446 - Systems and methods for generating predicted visual observations of an environment using machine learned models (2024-06-18),
6. 11992944 - Data-efficient hierarchical reinforcement learning (2024-05-28),
7. 11900517 - Image manipulation by text instruction (2024-02-13),
8. 11562518 - Image manipulation by text instruction (2023-01-24),
9. 11554483 - Robotic grasping prediction using neural networks and geometry aware object representation (2023-01-17),
10. 10864631 - Robotic grasping prediction using neural networks and geometry aware object representation (2020-12-15),
11. 10657962 - Modeling multiparty conversation dynamics: speaker, response, addressee selection using a novel deep learning approach (2020-05-19),

Title: Innovations and Contributions of Inventor Honglak Lee

Introduction

Honglak Lee is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of artificial intelligence and robotics, holding a total of 10 patents. His work focuses on developing advanced algorithms and systems that enhance machine learning and robotic manipulation.

Latest Patents

One of Honglak Lee's latest patents is related to a reinforcement learning algorithm search. This patent describes methods, computer systems, and apparatuses, including computer programs encoded on computer storage media, for generating and searching reinforcement learning algorithms. The system generates a sequence of candidate reinforcement learning algorithms, evaluates their performance in various training environments, and selects the most effective algorithms based on summary performance metrics.

Another notable patent involves robotic manipulation using domain-invariant 3D representations predicted from 2.5D vision data. This innovation relates to training a point cloud prediction model that processes 2.5D observations of objects to create domain-invariant 3D representations. These representations are then utilized to train a robotic manipulation policy model, which can control robots based on the generated 3D representations.

Career Highlights

Throughout his career, Honglak Lee has worked with leading technology companies, including Google Inc. and IBM. His experience in these organizations has allowed him to contribute to cutting-edge research and development in artificial intelligence and robotics.

Collaborations

Honglak Lee has collaborated with notable colleagues, including Xinchen Yan and Yunfei Bai. These partnerships have further enriched his research and innovations in the field.

Conclusion

Honglak Lee's contributions to artificial intelligence and robotics through his patents and collaborations highlight his role as a leading inventor in the industry. His work continues to influence advancements in machine learning and robotic systems.

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