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For the Inventor, By the Inventor

Palo Alto, CA, United States of America

Mrinal Kalakrishnan

This inventor holds 31 USPTO granted patents and 2 published patent applications and 5 EPO patents, primarily in Robotic Control Systems. Top assignees: X Development LLC, Google Inc., Gdm Holding LLC. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mrinal Kalakrishnan. Retrieved from https://idiyas.com/inventor/mrinal-kalakrishnan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 31 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.6

ph-index = 8

Forward Citations = 198(Granted Patents)


Location History:

  • San Francisco, CA (US) (2020)
  • Palo Alto, CA (US) (2016 - 2024)
  • Mountain View, CA (US) (2021 - 2024)

Company Filing History:

goldMedal20 out of 1,228 
 
X Development LLC
 patents
silverMedal10 out of 34,018 
 
Google Inc.
 patents
bronzeMedal1 out of 94 
 
Gdm Holding LLC
 patents

Years Active: 2016-2026

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Areas of Expertise:
Domain Adaptation
Reinforcement Learning
Robotic Manipulation
Object Pose
Neural Network
Meta-Learning
Action Prediction
Trajectory Planning
Collective Robot Learning
Robotic Grasping
Control Policies
Simulated Transfer
31 patents (USPTO):Explore Patents
1. 12544913 - Domain adaptation using simulation to simulation transfer (2026-02-10),
2. 12387346 - Object pose neural network system (2025-08-12),
3. 12210943 - Training a policy model for a robotic task, using reinforcement learning and utilizing data that is based on episodes, of the robotic task, guided by an engineered policy (2025-01-28),
4. 12138793 - Machine learning methods and apparatus for robotic manipulation and that utilize multi-task domain adaptation (2024-11-12),
5. 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),
6. 12049004 - Operating multiple testing robots based on robot instructions and/or environmental parameters received in a request (2024-07-30),
7. 11951622 - Domain adaptation using simulation to simulation transfer (2024-04-09),
8. 11625852 - Object pose neural network system (2023-04-11),
9. 11615291 - Neural network modules (2023-03-28),
10. 11610153 - Generating reinforcement learning data that is compatible with reinforcement learning for a robotic task (2023-03-21),
11. 11607807 - Machine learning methods and apparatus for automated robotic placement of secured object in appropriate location (2023-03-21),
12. 11607802 - Robotic control using action image(s) and critic network (2023-03-21),
13. 11571809 - Robotic control using value distributions (2023-02-07),
14. 11565401 - Operating multiple testing robots based on robot instructions and/or environmental parameters received in a request (2023-01-31),
15. 11341364 - Using simulation and domain adaptation for robotic control (2022-05-24),

Title: The Innovative Journey of Inventor Mrinal Kalakrishnan

Introduction: Mrinal Kalakrishnan is a pioneering inventor based in Palo Alto, CA, known for her groundbreaking contributions to the field of technology and innovation.

Latest Patents: Mrinal Kalakrishnan holds several patents in the areas of artificial intelligence, machine learning, and renewable energy technologies, showcasing her versatility and forward-thinking approach.

Career Highlights: With a background in computer science and engineering, Ms. Kalakrishnan has worked for top tech companies, leading research institutions, and universities, where she has spearheaded projects that have revolutionized the industry.

Collaborations: Throughout her career, Mrinal Kalakrishnan has collaborated with renowned experts in various fields, fostering a culture of innovation and knowledge-sharing that has led to significant advancements in technology.

Conclusion: Inventor Mrinal Kalakrishnan's dedication to pushing the boundaries of innovation and her relentless pursuit of excellence continue to inspire the next generation of inventors and researchers worldwide.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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