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researcher

D. Fox

152 papers hereh-index 13477.4k citations429 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author54
  • last author95

Across the 150 of 152 papers where every author was matched, so the position is known.

fields
  • cs.RO106
  • cs.CV31
  • cs.LG6
  • cs.AI5
  • cs.CL2
  • stat.ML2
same name
  • D. Fox — 118 papers, h 55
  • D. Fox — 103 papers, h 29
  • D. Fox — 68 papers, h 40
  • D. Fox — 55 papers, h 4
  • D. Fox — 22 papers, h 18
  • D. Fox — 11 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
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

collaborators
Showing 2017 · cs.ROShow all

4 papers · 2 filters

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…

cs.RO2017

Reasoning About Liquids via Closed-Loop Simulation

Connor Schenck, Dieter Fox

Simulators are powerful tools for reasoning about a robot's interactions with its environment. However, when simulations diverge from reality, that reasoning becomes less useful. I…

cs.RO2017

Perceiving and Reasoning About Liquids Using Fully Convolutional Networks

Conor Schenck, Dieter Fox

Liquids are an important part of many common manipulation tasks in human environments. If we wish to have robots that can accomplish these types of tasks, they must be able to inte…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.