Categories: FAANG

ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition

Teleoperation for robot imitation learning is bottlenecked by hardware availability. Can high-quality robot data be collected without a physical robot? We present a system for augmenting Apple Vision Pro with real-time virtual robot feedback. By providing users with an intuitive understanding of how their actions translate to robot motions, we enable the collection of natural barehanded human data that is compatible with the limitations of physical robot hardware. We conducted a user study with 15 participants demonstrating 3 different tasks each under 3 different feedback conditions and…

Scaling up learning across many different robot types

We are launching a new set of resources for general-purpose robotics learning across different robot types, or embodiments. Together with partners from 34 academic labs we have pooled data from 22 different robot types to create the Open X-Embodiment dataset. We also release RT-1-X, a robotics transformer (RT) model derived…

October 4, 2023

In "FAANG"

Learning to Walk in the Wild from Terrain Semantics

September 10, 2022

In "FAANG"

Robot stand-in mimics movements in VR

Researchers have developed a souped-up telepresence robot that responds automatically and in real-time to a remote user's movements and gestures made in virtual reality.

October 28, 2023

In "FAANG"

AI Generated Robotic Content