Sergey Levine

USPTO Granted Patents = 29 (Patent Applications = 15)

CIPO Patents = 1 (Patent Applications = 1)

EPO Patents = 5 (Patent Applications = 12)

Average Co-Inventor Count = 4.2

ph-index = 5

Forward Citations = 105(Granted Patents)

Location History:

Mountain View, CA (US) (2023)
Berkeley, CA (US) (2018 - 2024)

Company Filing History:

University of California

patents

4. 1 out of 757

Toyota Research Institute, Inc.

patents

where one patent can have more than one assignee

Years Active: 2018-2025

where 'Filed Patents' based on already Granted Patents

29 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12479093 - Data-efficient hierarchical reinforcement learning (2025-11-25),

2. 12430551 - Reinforcement learning algorithm search (2025-09-30),

3. 12240113 - Deep reinforcement learning for robotic manipulation (2025-03-04),

4. 12235179 - Multi-directional high-resolution optical tactile sensors (2025-02-25),

5. 12226920 - System(s) and method(s) of using imitation learning in training and refining robotic control policies (2025-02-18),

6. 12103564 - Planning-aware prediction for control-aware autonomous driving modules (2024-10-01),

7. 12083678 - Efficient adaption of robot control policy for new task using meta-learning based on meta-imitation learning and meta-reinforcement learning (2024-09-10),

8. 11992945 - System and methods for training robot policies in the real world (2024-05-28),

9. 11992944 - Data-efficient hierarchical reinforcement learning (2024-05-28),

10. 11897133 - Deep reinforcement learning for robotic manipulation (2024-02-13),

11. 11853876 - Control policies for robotic agents (2023-12-26),

12. 11772272 - System(s) and method(s) of using imitation learning in training and refining robotic control policies (2023-10-03),

13. 11717959 - Machine learning methods and apparatus for semantic robotic grasping (2023-08-08),

14. 11701773 - Viewpoint invariant visual servoing of robot end effector using recurrent neural network (2023-07-18),

15. 11548145 - Deep machine learning methods and apparatus for robotic grasping (2023-01-10),

Title: Sergey Levine - Innovator from Berkeley, CA

Introduction: Sergey Levine is a renowned inventor based in Berkeley, CA, known for his groundbreaking contributions to the field of robotics and artificial intelligence.

Latest Patents: Sergey Levine holds several patents related to machine learning algorithms for robotic control systems, enhancing efficiency and adaptability in various applications.

Career Highlights: With a background in computer science and engineering, Sergey Levine has made significant strides in developing autonomous systems that can learn and adapt to complex environments. His work has been instrumental in advancing the capabilities of robotic technologies.

Collaborations: Throughout his career, Sergey Levine has collaborated with leading research institutions and tech companies to further explore the intersection of AI and robotics. His partnerships have led to innovative solutions that are shaping the future of automation.

Conclusion: Sergey Levine's dedication to pushing the boundaries of AI and robotics has solidified his reputation as a visionary inventor in the field. His work continues to inspire new generations of innovators to explore the endless possibilities of intelligent machines.

This text is generated by artificial intelligence and may not be accurate.