Robotics Multimodal Models | Field

DeepMind researcher working on machine learning, computer vision, and structured learning from video and language.

Jascha Sohl-Dickstein is a machine learning researcher known for diffusion models, learned optimizers, and work on large language model capabilities. His personal site, marked accurate as of January 2024, says he had recently joined Anthropic after roles at Google Brain and Google DeepMind.

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.

Yao Lu is a research scientist at NVIDIA Research working on embodied AI, foundation models, and computer vision. His public homepage says he previously worked at Google DeepMind and Boston University and earned a Ph.D. from Carnegie Mellon University.

Jiahui Yu is a Research Lead at OpenAI leading the Perception team. His homepage notes prior co-leadership on Gemini Multimodal at Google DeepMind and work on deep learning and high-performance computing.

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.

Research scientist at Google DeepMind working on Gemini Code and natural language to code generation; previously a Ph.D. student at Carnegie Mellon University's Language Technologies Institute.

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

Senior Staff Research Scientist and Tech Lead Manager at Google DeepMind Robotics, focused on embodied agents and foundation models for robot decision-making.

Public research profiles show Armand Joulin as an author on work in natural language processing, information retrieval, 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.

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.

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

Google Gemini report author listed on Gemini Robotics, with report-backed work on robotics, multimodal models, and embodied AI.

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.

Research scientist at Google DeepMind working on robotics and embodied intelligence. His research spans robot learning, navigation, manipulation, and multimodal agents.

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

Kanishka Rao is listed in the author list for the Google DeepMind report 'Gemini Robotics: Bringing AI into the Physical World.'

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.

Yao Lu is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

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

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.

Alex Ray is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Bijan Bina is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Cyril Curtis is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Daniel Duran is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Daniel Tan is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Griffin Stein is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Harrison Lee is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Jacob Walker is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Joe Chow is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Jonna Hong is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Junjie Liang is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Kun Xu is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Lisa Lee is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Nate Jay is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Noah Brown is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Patrick Xu is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Qi Chen is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Qinqing Zheng is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Rohan Shrestha is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Samuel White is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Siqi Liu is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Tomasz Chilinski is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Yafei Lu is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

Yongxin Chen is listed as an author of the Google technical report Gemini Robotics: Bringing AI into the Physical World.

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.

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.

Jean-Baptiste Alayrac

Jascha Sohl-Dickstein

Karl Pertsch

Yao Lu

Jiahui Yu

Kenji Kawaguchi

Yash Dubey

Corey Lynch

Mustafa Bakkaloglu

Thomas Kollar

Chelsea Finn

Ryan Julian

Pengcheng Yin

Julian Ibarz

Fei Xia

Armand Joulin

Adrian Wong

Alex Kirillov

Brian Ichter

Debidatta Dwibedi

Jorgen Frye

Karol Hausman

Keisuke Fujii

Laura Graesser

Ruohan Zhang

Travis Birch

Yuke Zhu

Hanjun Dai

Andy Zeng

Tianhe Yu

Jonathan Tompson

Katie Kang

Siddharth Karamcheti

Dimitri Kanevsky

Koushil Sreenath

Ross Goroshin

Sanmi Koyejo

Fei Xia

Nicolas Heess

Kanishka Rao

Dorsa Sadigh

Duy Pham

Essam Rabie

Rika Antonova

Sergey Levine

Takuma Yoneda

Ted Xiao

Vincent Zitnick

Yao Lu

Andy Brock

Vincent Vanhoucke

Abdelrahman Benaim

Andy Brohan

Areeb Batala

Fang Xia

Peter Florence

Suneel Belkhale

Alex Ray

Bijan Bina

Cyril Curtis

Daniel Duran

Daniel Tan

Griffin Stein

Harrison Lee

Jacob Walker

Joe Chow

Jonna Hong

Junjie Liang

Kun Xu

Lisa Lee

Nate Jay

Noah Brown

Patrick Xu

Qi Chen

Qinqing Zheng

Rohan Shrestha

Samuel White

Siqi Liu

Tomasz Chilinski

Yafei Lu