MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Guest editorial: special issue on robotics: science and systems

Author(s)
Roy, Nicholas; Newman, Paul
Thumbnail
Download10514_2012_Article_9308.pdf (154.7Kb)
OPEN_ACCESS_POLICY

Open Access Policy

Creative Commons Attribution-Noncommercial-Share Alike

Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Abstract
This volume is the second of two special journal issues compiled from the best papers presented at the fifth Robotics: Science and Systems (RSS) conference, held at the University of Southern California in June 2011. The first of these special issues was published by the International Journal of Robotics Research, Since its inception in 2005, the conference has continued to attract scientists working on the algorithmic and mathematical foundations of robotics, robotics applications, and analysis of robotic systems. The papers presented in this special issue represent the best of robotics research in statistical inference, machine learning and planning, expanded and rigorously reviewed for journal publication. All papers share a common theme of providing new and fundamental algorithmic insights into the principles that govern how robots and intelligent machines operate in the real world.
Date issued
2012-06
URI
http://hdl.handle.net/1721.1/105458
Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Journal
Autonomous Robots
Publisher
Springer US
Citation
Roy, Nicholas, and Paul Newman. “Guest Editorial: Special Issue on Robotics: Science and Systems.” Autonomous Robots 33.3 (2012): 215–216.
Version: Author's final manuscript
ISSN
0929-5593
1573-7527

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.