Dec 13, 2022 · In this paper, we present a model class, dubbed Robotics Transformer, that exhibits promising scalable model properties.

RT-1 shows better performance and generalization thanks to its ability to absorb a large amount of diverse data, including robot trajectories with multiple tasks, objects and environments. …

Dec 13, 2022 · To address these challenges, we propose the Robotics Transformer 1 (RT-1), a multi-task model that tokenizes robot inputs and outputs actions (e.g., camera images, task …

We propose a novel architecture that we call RT-1 (Robotics Transformer 1), which by encoding high-dimensional inputs and outputs, including camera images, instructions and motor …

This repository is a collection code files and artifacts for running Robotics Transformer or RT-1.

This is the completion of google's rt-1 project code and can run directly. You can view the google source code here: robotics_transformer. RT-1 dataset: robotics_transformer_dataset. …

This repository contains complete PyTorch implementation for RT-1 based on the paper: RT-1 Paper and implementation of RT-1 model by maruya24's RT-1: maruya24's RT-1 GitHub. Our …

We argue that one of the keys to the success of such general robotic models lies with open-ended task-agnostic training, combined with high-capacity architectures that can absorb all of the …

RT-1 input is language and vision observations, and maps them to robot actions. It learns robot policies to solve language conditioned tasks from vision.

Jul 10, 2023 · Trained on a substantial dataset of over 130k episodes spanning 17 months, RT-1 [12] leverages transformer-based architectures to facilitate real-world control tasks at scale. …