9 citations · 12 across the 14 of their papers we have counts for
4 papers · 1 filter
Towards Balanced Behavior Cloning from Imbalanced Datasets
Sagar Parekh, Heramb Nemlekar, Dylan P. Losey
Robots should be able to learn complex behaviors from human demonstrations. In practice, these human-provided datasets are inevitably imbalanced: i.e., the human demonstrates some…
L2D2: Robot Learning from 2D Drawings
Shaunak A. Mehta, Heramb Nemlekar, Hari Sumant +1
Robots should learn new tasks from humans. But how do humans convey what they want the robot to do? Existing methods largely rely on humans physically guiding the robot arm through…
CIVIL: Causal and Intuitive Visual Imitation Learning
Yinlong Dai, Robert Ramirez Sanchez, Ryan Jeronimus +4
Today's robots attempt to learn new tasks by imitating human examples. These robots watch the human complete the task, and then try to match the actions taken by the human expert.…
Kiri-Spoon: A Kirigami Utensil for Robot-Assisted Feeding
Maya Keely, Brandon Franco, Casey Grothoff +4
For millions of adults with mobility limitations, eating meals is a daily challenge. A variety of robotic systems have been developed to address this societal need. Unfortunately,…