activity
20222025
most citedRT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

273 citations · 314 across the 6 of their papers we have counts for

collaborators

6 papers

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★ 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…

cs.RO2024★ 3 cited

Achieving Human Level Competitive Robot Table Tennis

David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser +24

Achieving human-level speed and performance on real world tasks is a north star for the robotics research community. This work takes a step towards that goal and presents the first…

cs.RO2023★ 18 cited

Robotic Table Tennis: A Case Study into a High Speed Learning System

David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan +32

We present a deep-dive into a real-world robotic learning system that, in previous work, was shown to be capable of hundreds of table tennis rallies with a human and has the abilit…

cs.RO2023★ 273 cited

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Anthony Brohan, Noah Brown, Justice Carbajal +51

We study how vision-language models trained on Internet-scale data can be incorporated directly into end-to-end robotic control to boost generalization and enable emergent semantic…

cs.RO2022★ 13 cited

Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items

Laura Downs, Anthony Francis, Nate Koenig +5

Interactive 3D simulations have enabled breakthroughs in robotics and computer vision, but simulating the broad diversity of environments needed for deep learning requires large co…