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FogROS: An Adaptive Framework for Automating Fog Robotics Deployment

FogROS: An Adaptive Framework for Automating Fog Robotics Deployment

25 August 2021
Kaiyuan Chen
Chen
Yafei Liang
Nikhil Jha
Jeffrey Ichnowski
Michael Danielczuk
Joseph E. Gonzalez
John Kubiatowicz
Ken Goldberg
    AI4CE
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Papers citing "FogROS: An Adaptive Framework for Automating Fog Robotics Deployment"

4 / 4 papers shown
Title
A Fog Robotics Approach to Deep Robot Learning: Application to Object
  Recognition and Grasp Planning in Surface Decluttering
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering
A. Tanwani
Nitesh Mor
John Kubiatowicz
Joseph E. Gonzalez
Ken Goldberg
99
81
0
22 Mar 2019
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point
  Clouds and Analytic Grasp Metrics
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Jeffrey Mahler
Jacky Liang
Sherdil Niyaz
Michael Laskey
R. Doan
Xinyu Liu
J. A. Ojea
Ken Goldberg
3DPC
3DV
98
1,267
0
27 Mar 2017
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
342
5,440
0
20 Oct 2016
Introducing SLAMBench, a performance and accuracy benchmarking
  methodology for SLAM
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
Luigi Nardi
Bruno Bodin
M. Z. Zia
John Mawer
A. Nisbet
...
M. Luján
Michael F. P. O'Boyle
Graham D. Riley
N. Topham
Steve Furber
62
157
0
08 Oct 2014
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