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20122026
most citedEfficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

3k citations · 8.3k across the 50 of their papers we have counts for

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14 papers · 1 filter

cs.RO2024

OpenBot-Fleet: A System for Collective Learning with Real Robots

Matthias Müller, Samarth Brahmbhatt, Ankur Deka +3

We introduce OpenBot-Fleet, a comprehensive open-source cloud robotics system for navigation. OpenBot-Fleet uses smartphones for sensing, local compute and communication, Google Fi…

cs.RO2023223 cited

Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning

Yunlong Song, Angel Romero, Matthias Mueller +2

A central question in robotics is how to design a control system for an agile mobile robot. This paper studies this question systematically, focusing on a challenging setting: auto…

cs.RO2022793 cited

Learning robust perceptive locomotion for quadrupedal robots in the wild

Takahiro Miki, Joonho Lee, Jemin Hwangbo +3

Legged robots that can operate autonomously in remote and hazardous environments will greatly increase opportunities for exploration into under-explored areas. Exteroceptive percep…

cs.RO2021351 cited

Learning High-Speed Flight in the Wild

Antonio Loquercio, Elia Kaufmann, René Ranftl +3

Quadrotors are agile. Unlike most other machines, they can traverse extremely complex environments at high speeds. To date, only expert human pilots have been able to fully exploit…

cs.RO2021

Learning to drive from a world on rails

Dian Chen, Vladlen Koltun, Philipp Krähenbühl

We learn an interactive vision-based driving policy from pre-recorded driving logs via a model-based approach. A forward model of the world supervises a driving policy that predict…

cs.RO2020

Learning Quadrupedal Locomotion over Challenging Terrain

Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen +2

Some of the most challenging environments on our planet are accessible to quadrupedal animals but remain out of reach for autonomous machines. Legged locomotion can dramatically ex…