103 citations · 191 across the 17 of their papers we have counts for
4 papers · 2 filters
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291
Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…
FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity
Kaiyuan Chen, Ryan Hoque, Karthik Dharmarajan +5
The Robot Operating System (ROS2) is the most widely used software platform for building robotics applications. FogROS2 extends ROS2 to allow robots to access cloud computing on de…
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors
Gaurav Datta, Ryan Hoque, Anrui Gu +2
Imitation learning has been applied to a range of robotic tasks, but can struggle when robots encounter edge cases that are not represented in the training data (i.e., distribution…
Semantic Mechanical Search with Large Vision and Language Models
Satvik Sharma, Huang Huang, Kaushik Shivakumar +4
Moving objects to find a fully-occluded target object, known as mechanical search, is a challenging problem in robotics. As objects are often organized semantically, we conjecture…