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

13 citations · 20 across the 3 of their papers we have counts for

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cs.RO20251 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.RO20256 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

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

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.RO2023273 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.RO202213 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…