Imitation Learning (IL) is a sample efficient paradigm for robot learnin...
While natural language offers a convenient shared interface for humans a...
In supervised learning, the question of data quality and curation has be...
Diffusion models are powerful generative models but suffer from slow
sam...
A robotic feeding system must be able to acquire a variety of foods. Pri...
Acquiring food items with a fork poses an immense challenge to a
robot-a...
Assistance during eating is essential for those with severe mobility iss...
Constructing a diverse repertoire of manipulation skills in a scalable
f...
Robot-assisted feeding in household environments is challenging because ...
Transporting suspended payloads is challenging for autonomous aerial veh...
Deep reinforcement learning provides a promising approach for vision-bas...