Gemini Robotics: Bringing AI into the Physical World

Research scientist at Google DeepMind focused on embodied AI and robotics. His homepage highlights work on skill acquisition, motion planning, world models, and imitation learning.

Robotics researcher and co-founder of Physical Intelligence, previously an assistant professor at USC and formerly at Google Brain, working on learning-based robot decision making and control.

Kenji Kawaguchi is a research scientist at Google DeepMind whose work focuses on optimization, machine learning theory, and deep learning.

Yash Dubey is a PhD student at Stanford University and student researcher at Google DeepMind working on embodied AI, large language models, vision-language models, and robot learning.

Corey Lynch is a research scientist at Google DeepMind working on embodied AI and robotics. He previously cofounded Ikonos.

Research scientist at Google DeepMind working on robotics and general-purpose decision-making systems. He previously worked on reinforcement learning for healthcare and studied computer science at the University of Toronto.

Thomas Kollar is a Research Scientist at Google DeepMind working on multimodal AI and robotics, including grounded language understanding and robot learning.

Associate Professor at Stanford University and co-founder of Physical Intelligence. Her research focuses on AI, machine learning, and control methods that help robots learn from prior experience and interact with the real world.

Ryan Julian is a research engineer at Google DeepMind whose public work focuses on robotics, embodied AI, and language models.

Jiahui Yu is a research scientist at Google DeepMind working on multimodal learning and large language models.

Julian Ibarz is a research scientist at Google DeepMind working on computer vision, robot learning, and multimodal representation learning.

Armand Joulin is a research scientist at Google whose work spans natural language processing, machine learning, deep learning, and computer vision.

Adrian Wong is a researcher at Google DeepMind whose public homepage highlights work in robot learning, multimodal learning, computer vision, and deep learning.

Alex Kirillov is an ML researcher at Google DeepMind whose public homepage highlights work on computer vision, video generation, and multimodal foundation models.

Brian Ichter is a research scientist at Google DeepMind whose public homepage highlights work in robotics, reinforcement learning, and autonomous systems.

Research scientist at Google DeepMind focused on embodied AI and robot learning.

Jascha Sohl-Dickstein is a staff research scientist at Google DeepMind whose public site highlights machine learning research and publications.

Research engineer at Google DeepMind working on Gemini Robotics and VLA-style robotic systems.

Research scientist at Google DeepMind working on embodied AI, robotics, and foundation models.

Keisuke Fujii is a research scientist at Google DeepMind and an associate professor at Osaka University. His work focuses on human-AI interaction, collective intelligence, robotics, and data-driven approaches to understanding human behavior.

Machine learning researcher and co-author of Foundations of Deep Reinforcement Learning, with public profiles at Google Research and Learning Machine Learning.

Ruohan Zhang is a robotics researcher whose public homepage highlights work in embodied AI and robot learning, including research experience at Google DeepMind and Carnegie Mellon University.

Travis Birch is a machine learning researcher whose public profile focuses on reinforcement learning, robotics, and embodied AI. His work spans agent learning, decision making, and practical machine learning systems.

Yuke Zhu is an assistant professor of computer science at Stanford University whose research focuses on robotics, computer vision, and machine learning, especially visual learning and robot autonomy.