most citedGemini Robotics: Bringing AI into the Physical World

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

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cs.RO2026

BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames

Max Sobol Mark, Jacky Liang, Maria Attarian +4

Many robot tasks require attending to the history of past observations. For example, finding an item in a room requires remembering which places have already been searched. However…

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

Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization

Jonathan Yang, Chuyuan Kelly Fu, Dhruv Shah +3

In this work, we investigate how spatially grounded auxiliary representations can provide both broad, high-level grounding as well as direct, actionable information to improve poli…

cs.RO2025

Towards Embodiment Scaling Laws in Robot Locomotion

Bo Ai, Liu Dai, Nico Bohlinger +7

Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…

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…