667 citations · 2.8k across the 127 of their papers we have counts for
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Visual Closed-Loop Control for Pouring Liquids
Connor Schenck, Dieter Fox
Pouring a specific amount of liquid is a challenging task. In this paper we develop methods for robots to use visual feedback to perform closed-loop control for pouring liquids. We…
Towards Learning to Perceive and Reason About Liquids
Connor Schenck, Dieter Fox
Recent advances in AI and robotics have claimed many incredible results with deep learning, yet no work to date has applied deep learning to the problem of liquid perception and re…
Detection and Tracking of Liquids with Fully Convolutional Networks
Connor Schenck, Dieter Fox
Recent advances in AI and robotics have claimed many incredible results with deep learning, yet no work to date has applied deep learning to the problem of liquid perception and re…
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Arunkumar Byravan, Dieter Fox
We introduce SE3-Nets, which are deep neural networks designed to model and learn rigid body motion from raw point cloud data. Based only on sequences of depth images along with ac…