activity
20142023
most citedRT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

273 citations · 1.5k across the 75 of their papers we have counts for

collaborators

79 papers

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.RO2023★ 2 cited

Agile Catching with Whole-Body MPC and Blackbox Policy Learning

Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi +9

We address a benchmark task in agile robotics: catching objects thrown at high-speed. This is a challenging task that involves tracking, intercepting, and cradling a thrown object…

stat.ML2023

Quasi-Monte Carlo Graph Random Features

Isaac Reid, Krzysztof Choromanski, Adrian Weller

We present a novel mechanism to improve the accuracy of the recently-introduced class of graph random features (GRFs). Our method induces negative correlations between the lengths…

cs.LG2023

Taming graph kernels with random features

Krzysztof Choromanski

We introduce in this paper the mechanism of graph random features (GRFs). GRFs can be used to construct unbiased randomized estimators of several important kernels defined on graph…

cs.CL2023

Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR

Rami Botros, Anmol Gulati, Tara N. Sainath +5

Conformer models maintain a large number of internal states, the vast majority of which are associated with self-attention layers. With limited memory bandwidth, reading these from…