68 citations · 139 across the 18 of their papers we have counts for
5 papers · 1 filter
Learning Generalizable Tool-use Skills through Trajectory Generation
Carl Qi, Yilin Wu, Lifan Yu +4
Autonomous systems that efficiently utilize tools can assist humans in completing many common tasks such as cooking and cleaning. However, current systems fall short of matching hu…
GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators
Philipp Wu, Yide Shentu, Zhongke Yi +2
Humans can teleoperate robots to accomplish complex manipulation tasks. Imitation learning has emerged as a powerful framework that leverages human teleoperated demonstrations to t…
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks
Xingyu Lin, John So, Sashwat Mahalingam +2
The existing internet-scale image and video datasets cover a wide range of everyday objects and tasks, bringing the potential of learning policies that generalize in diverse scenar…
RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects
Zhenjia Xu, Zhou Xian, Xingyu Lin +4
We introduce RoboNinja, a learning-based cutting system for multi-material objects (i.e., soft objects with rigid cores such as avocados or mangos). In contrast to prior works usin…
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking
Zixuan Huang, Xingyu Lin, David Held
State estimation is one of the greatest challenges for cloth manipulation due to cloth's high dimensionality and self-occlusion. Prior works propose to identify the full state of c…