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20112023
most citedGaussian Processes for Data-Efficient Learning in Robotics and Control

667 citations · 2.8k across the 127 of their papers we have counts for

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Showing 2017Show all

12 papers · 1 filter

cs.CV2017

IQA: Visual Question Answering in Interactive Environments

Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari +3

We introduce Interactive Question Answering (IQA), the task of answering questions that require an autonomous agent to interact with a dynamic visual environment. IQA presents the…

cs.CV2017

Dynamic High Resolution Deformable Articulated Tracking

Aaron Walsman, Weilin Wan, Tanner Schmidt +1

The last several years have seen significant progress in using depth cameras for tracking articulated objects such as human bodies, hands, and robotic manipulators. Most approaches…

cs.CL2017★ 26 cited

Simulating Action Dynamics with Neural Process Networks

Antoine Bosselut, Omer Levy, Ari Holtzman +3

Understanding procedural language requires anticipating the causal effects of actions, even when they are not explicitly stated. In this work, we introduce Neural Process Networks…

cs.CV2017★ 132 cited

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Yu Xiang, Tanner Schmidt, Venkatraman Narayanan +1

Estimating the 6D pose of known objects is important for robots to interact with the real world. The problem is challenging due to the variety of objects as well as the complexity…

cs.RO2017★ 24 cited

Learning Robotic Manipulation of Granular Media

Connor Schenck, Jonathan Tompson, Dieter Fox +1

In this paper, we examine the problem of robotic manipulation of granular media. We evaluate multiple predictive models used to infer the dynamics of scooping and dumping actions.…

cs.RO2017★ 29 cited

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control

Arunkumar Byravan, Felix Leeb, Franziska Meier +1

In this work, we present an approach to deep visuomotor control using structured deep dynamics models. Our deep dynamics model, a variant of SE3-Nets, learns a low-dimensional pose…