Robotics Multimodal Models

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.

Hanjun Dai is a Research Scientist at Google DeepMind working on large-scale robot learning, robot foundation models, and multimodal foundation models.

Research scientist at Meta working on multimodal machine learning and AI. Previously worked on multimodal learning at Google DeepMind and earned a PhD in computer vision and machine learning from Ecole des Ponts ParisTech.

Andy Zeng is a Research Scientist at Google DeepMind. His public research interests include robot learning, computer vision, graphics, and personalized 3D content generation.

Jonathan Tompson is a research scientist working on robotics, perception, and embodied AI. His public profile highlights work on computer vision, simulation, reinforcement learning, and robot intelligence.

PhD student in computer science at Stanford University and student researcher at Google DeepMind, working on robotics and machine learning.

Siddharth Karamcheti is a Senior Research Scientist at Google DeepMind whose work focuses on interactive robot learning, embodied AI, and multimodal foundation models.

Research scientist at Google Research known for work in speech, language, and accessibility, including tools and advocacy shaped by his experience as a Deaf technologist.

Associate Professor of Mechanical Engineering at UC Berkeley and director of the Hybrid Robotics Lab, working on legged robots, exoskeletons, and safe robot control.

Research scientist at Google DeepMind working on machine learning and robot learning.

Sanmi Koyejo is a computer scientist at Stanford University whose work spans trustworthy machine learning, foundation models, causal inference, computational biology, and AI for health.

Nicolas Heess is a research scientist at Google DeepMind whose work focuses on machine learning, reinforcement learning, and robotics.

Associate professor at Stanford University and visiting faculty researcher at Google DeepMind, working at the intersection of robotics and machine learning.

Researcher at Google DeepMind working on foundation models, robotics, and spatial intelligence, according to his personal site.

Research scientist at Google DeepMind focused on robotics, computer vision, and multimodal AI.

Staff research scientist at Google DeepMind focused on reinforcement learning and robotics, including robot foundation models, long-horizon manipulation, and learning from high-level goals.

Professor at UC Berkeley whose research focuses on machine learning, reinforcement learning, robotics, and embodied AI.

Takuma Yoneda is a researcher at Google DeepMind and an assistant professor at the University of Toronto. His work focuses on robot learning, imitation learning, reinforcement learning, and diffusion-based control.

Research scientist at Google DeepMind in Mountain View working on robotics and machine learning.

Vincent Zitnick is a researcher whose public homepage and Google Scholar profile highlight work in computer vision, multimodal learning, robotics, and foundation models.

Andy Brock is a machine learning researcher at Google DeepMind whose work focuses on generative modeling and multimodal systems.

Senior Research Scientist at Google DeepMind working on Gemini, embodied AI, and multimodal foundation models for robotics and perception.

Senior Staff Research Scientist at Google DeepMind and CTO of the Gemini app, with work spanning speech, language, vision, and large-scale AI systems.

Abdelrahman Benaim is a Research Scientist at Google DeepMind. His published work spans robotics, computer vision, and generative models, including robotics-focused Gemini research.

Research scientist at Google DeepMind working on general robotic intelligence, robot learning, and real-world datasets for improved robot dexterity and understanding.

PhD student at Carnegie Mellon University and Student Researcher at Google DeepMind working on multimodal large language models and robotics.

Fang Xia is a Research Scientist at Google DeepMind working on bringing AI into the physical world through robotics and embodied intelligence.

Research scientist at Google DeepMind and co-founder of Waypoint, working on robot learning.

Research scientist at Google DeepMind working on robotics, embodied intelligence, and vision-language-action models.

Research Engineer at Google DeepMind working on foundation models and robotics.

Alexander Entrikis is a Research Scientist at Google DeepMind whose public profile focuses on robot learning, reinforcement learning, and embodied AI.

Research scientist at Google DeepMind focused on multimodal foundation models. Her homepage highlights research interests across reinforcement learning, imitation learning, generative modeling, and robotics.

Embodied AI researcher at Google DeepMind working at the intersection of robots, vision, and language.

Research scientist at Google DeepMind working on robotics and machine learning; arXiv author results include the Gemini Robotics papers.

Research scientist at Google DeepMind working on robot learning, language models, computer vision, reinforcement learning, and generative modeling.

Robot learning researcher and engineer at Google DeepMind focused on machine learning and embodied intelligence.

Research scientist at Google Research working on machine learning for perception and robotics.

PhD student at Stanford and student researcher at Google DeepMind working on generalist robot policies and foundation models.

Research scientist at Google DeepMind working on robot manipulation, multimodal reasoning, and planning.

Research scientist at Google DeepMind focusing on computer vision, robotics, and machine learning, especially generalizable visual scene understanding.

Research scientist at Google DeepMind working on robotics and machine learning.

Research scientist at Google DeepMind working on large language models and reinforcement learning, with interests in multi-agent systems and algorithmic game theory.

Research manager at Google DeepMind working on robot learning, control, and mobile manipulation systems.

Researcher at Google DeepMind working on robotics, computer vision, and reinforcement learning.

Nathan Driess is a robotics researcher at Google DeepMind working on generalist and multi-task robot learning, especially at the intersection of vision, language, and action.

Research scientist at Google DeepMind focused on machine learning.

Research scientist at Google Research working on visual reasoning, image generation, and multi-modal models.

Pannag Sanketi is a research scientist at Google DeepMind whose public homepage highlights work in machine learning for robotics and multi-agent systems.

Pengcheng Yin is a research scientist at Google DeepMind whose public homepage lists work spanning natural language processing, machine learning, and robotics.

Research scientist at Google DeepMind focused on reinforcement learning and robot learning.

Research scientist at Google DeepMind in New York City working on computer vision and machine learning. His public team page highlights interests in safe and adaptive robotic learning and multimodal foundational understanding.

Machine learning and robotics researcher focused on enabling robots to perform useful and complex tasks in the real world. Her public research page lists work on Gemini Robotics and related embodied AI projects.

Research scientist at Google DeepMind. His public homepage focuses on robotics and reinforcement learning, with work on imitation learning, visuomotor policies, and embodied agents.

Researcher whose arXiv author results include the Gemini Robotics paper.

Yueh-Hua Wu is a researcher at Google DeepMind whose public homepage highlights work on machine learning, control, and robotics.

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