most citedGemini Robotics: Bringing AI into the Physical World

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Large Video Planner Enables Generalizable Robot Control

Boyuan Chen, Tianyuan Zhang, Haoran Geng +9

General-purpose robots require decision-making models that generalize across diverse tasks and environments. Recent works build robot foundation models by extending multimodal larg…

cs.RO2025★ 1 cited

Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer

Gemini Robotics Team, Abbas Abdolmaleki, Saminda Abeyruwan +169

General-purpose robots need a deep understanding of the physical world, advanced reasoning, and general and dexterous control. This report introduces the latest generation of the G…

cs.RO2025

Self-Improving Loops for Visual Robotic Planning

Calvin Luo, Zilai Zeng, Mingxi Jia +2

Video generative models trained on expert demonstrations have been utilized as performant text-conditioned visual planners for solving robotic tasks. However, generalization to uns…

cs.LG2025

Solving New Tasks by Adapting Internet Video Knowledge

Calvin Luo, Zilai Zeng, Yilun Du +1

Video generative models demonstrate great promise in robotics by serving as visual planners or as policy supervisors. When pretrained on internet-scale data, such video models inti…

cs.RO2025★ 6 cited

Gemini Robotics: Bringing AI into the Physical World

Gemini Robotics Team, Saminda Abeyruwan, Joshua Ainslie +115

Recent advancements in large multimodal models have led to the emergence of remarkable generalist capabilities in digital domains, yet their translation to physical agents such as…