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Cloud-Based Robot Grasping with the Google Object Recognition Engine Ben Kehoe1 Akihiro Matsukawa2
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Document Date: 2012-10-05 13:02:47


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City

Adaptive Cloud / New Delhi / Zurich / Nashville / Mountain View / Marseille / /

Company

Neural Information Processing Systems / Amazon / F.F. Kong A.S. / Google / Rate Training Time / Microsoft / /

Country

Switzerland / United States / India / /

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Event

Product Recall / Product Issues / /

Facility

University GraspIt / Amphitheatre Parkway / Point Cloud Library / University of California / generated using the Columbia University GraspIt / /

IndustryTerm

large-scale object recognition server / object recognition algorithm / Web-Based Tool / Web Architecture / web links / surface reconstruction tools / prior sampling-based algorithm / Online Phases / object recognition systems / Internet Technology / image processing / online phase / store server / http /

OperatingSystem

OSE / /

Organization

Center of Mass / Columbia University / National Science Foundation / University of California / Berkeley / Department of Electrical Engineering and Computer Science / Department of Mechanical Engineering / Robotics and Automation Technical Committee on Networked Robotics / IEEE Society of Robotics / Department of Industrial Engineering and Operations Research / /

Person

Alexander Sorokin / Rajesh Arumugam / V / Luc Van Gool / Stephan Gammeter / A. Saxena / James J. Kuffner / Dmitry Berenson / Michael Isard / Dave Ferguson / Herve Jegou / Corey Goldfeder / William T. Freeman / Richard N. Taylor / Ariadna Quattoni / David Forsyth / Tamim Asfour / Antonio Morales / Zoe McCarthy / George Stockman / Josef Sivic / Bryan C. Russell / Antonio Torralba / Daniela Rus / Trevor Darrell / Matei Ciocarlie / Andrew Zisserman / Justin Driemeyer / Nicholas Roy / R.B. Rusu / Pieter Abbeel / Alexander Gassmann / James Philbin / Ethan Dreyfuss / Ken Goldberg / I.A. Sucan / Kevin P. Murphy / Ben Kehoe / Caroline Pantofaru / Rudiger Dillmann / Alvaro Collet / Andrew Y. Ng / Peter K. Allen / Grasp Set / Jared Glover / Grasps Humans / Peter Brook / Luis von Ahn / Steffen Knoop / Pedram Azad / Sachin Chitta / Kaijen Hsiao / Lukas Bossard / Cordelia Schmid / Siddhartha S. Srinivasa / Gary Bradski / Matthijs Douze / Ondrej Chum / Markus Waibel / /

Position

inverse kinematics planner / representative / planner / Candidate / /

Product

3D CAD / Rate Training / PR2 / Microsoft Kinects / Training Set Size / /

ProgrammingLanguage

C / /

ProvinceOrState

Tennessee / California / /

PublishedMedium

The International Journal / /

Technology

3-D / Machine Translation / ICP algorithm / Internet Technology / machine learning / mobile device / image processing / digital camera / mobile devices / OCR / HTTP / Digital Imaging / prior sampling-based algorithm / object recognition algorithm / CAD / /

URL

http /

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