Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Ekvall, D. Kragic, P. Jensfelt (2007)
Object detection and mapping for service robot tasksRobotica, 25
Y. Boers, H. Driessen, A. Bagchi, P. Mandal (2010)
Particle filter based entropy2010 13th International Conference on Information Fusion
Andrew Davison, D. Murray (2002)
Simultaneous Localization and Map-Building Using Active VisionIEEE Trans. Pattern Anal. Mach. Intell., 24
K. Khoshelham, S. Elberink (2012)
Accuracy and Resolution of Kinect Depth Data for Indoor Mapping ApplicationsSensors (Basel, Switzerland), 12
T. Xu, K. Kühnlenz, M. Buss (2010)
Autonomous Behavior-Based Switched Top-Down and Bottom-Up Visual Attention for Mobile RobotsIEEE Transactions on Robotics, 26
N. Kalra, T. Stentz, D. Ferguson (2004)
Hoplites: A Market Framework for Complex Tight Coordination in Multi-Agent Teams
W. Churchill, P. Newman (2012)
Practice makes perfect? Managing and leveraging visual experiences for lifelong navigation2012 IEEE International Conference on Robotics and Automation
C. Stachniss (2006)
Exploration and mapping with mobile robots
R. Rusu, Zoltán-Csaba Márton, Nico Blodow, Andreas Holzbach, M. Beetz (2009)
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
J. Elfring, van Dries, van Molengraft, M. Steinbuch (2012)
Task-based world model verification
Eric Sommerlade, I. Reid (2008)
Information-theoretic active scene exploration2008 IEEE Conference on Computer Vision and Pattern Recognition
Radford Neal (2006)
Pattern Recognition and Machine LearningPattern Recognition and Machine Learning
Dejan Pangercic, Benjamin Pitzer, Moritz Tenorth, M. Beetz (2012)
Semantic Object Maps for robotic housework - representation, acquisition and use2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
Julian Mason, B. Marthi, Ronald Parr (2012)
Object disappearance for object discovery2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
Michael Milford, G. Wyeth (2010)
Persistent Navigation and Mapping using a Biologically Inspired SLAM SystemThe International Journal of Robotics Research, 29
S. Frintrop, Erich Rome, H. Christensen (2010)
Computational visual attention systems and their cognitive foundations: A surveyACM Trans. Appl. Percept., 7
(1986)
1963) received the M.Sc. (cum laude) and Ph.D. degrees in Mechanical Engineering from TU/e
D. Joho, Martin Senk, Wolfram Burgard (2011)
Learning search heuristics for finding objects in structured environmentsRobotics Auton. Syst., 59
L. Paletta, John Tsotsos (2009)
Attention in Cognitive Systems, 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008, Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers, 5395
I. Petrovic, A. Lilienthal (2011)
Special issue ECMR 2009Robotics Auton. Syst., 59
K. Konolige, James Bowman (2009)
Towards lifelong visual maps2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
petenceHighTechSystemsoftheFederationofDutchTechni-calUniversities,andheisdirec-toroftheTU/eGraduatePro-gram Automotive Systems. His research interests are in
T. Xu, Nikolay Chenkov, K. Kühnlenz, M. Buss (2009)
Autonomous switching of top-down and bottom-up attention selection for vision guided mobile robots2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
D. Schulz, Wolfram Burgard, D. Fox, A. Cremers (2003)
People Tracking with Mobile Robots Using Sample-Based Joint Probabilistic Data Association FiltersThe International Journal of Robotics Research, 22
J. Elfring, S. Dries, R. Molengraft, M. Steinbuch (2013)
Semantic world modeling using probabilistic multiple hypothesis anchoringRobotics Auton. Syst., 61
Christopher Bishop (2006)
Pattern Recognition and Machine Learning (Information Science and Statistics)
S Ekvall, D Kragic, P Jensfelt (2007)
Object detection and mapping for service robot tasks. Robotica:International Journal of Information, Education and Research in Robotics and Artificial Intelligence, 25
Mazda Ahmadi, P. Stone (2006)
A multi-robot system for continuous area sweeping tasksProceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.
J. Elfring, Simon Jansen, R. Molengraft, M. Steinbuch (2013)
Active Object Search Exploiting Probabilistic Object-Object Relations
Moritz Tenorth, Lars Kunze, Dominik Jain, M. Beetz (2010)
KNOWROB-MAP - knowledge-linked semantic object maps2010 10th IEEE-RAS International Conference on Humanoid Robots
B. Rasolzadeh, Alireza Targhi, J. Eklundh (2008)
An Attentional System Combining Top-Down and Bottom-Up Influences
Julian Mason, B. Marthi (2012)
An object-based semantic world model for long-term change detection and semantic querying2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
(1960)
professor in Systems and Control and head of the Control Systems Technology group at Eind-hoven
(1985)
Elfring (1985) received the M.Sc. degree in mechanical engineering from Eindhoven University
Stefan Hinterstoißer, Stefan Holzer, Cedric Cagniart, Slobodan Ilic, K. Konolige, Nassir Navab, V. Lepetit (2011)
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes2011 International Conference on Computer Vision
Alois Unterholzner, M. Himmelsbach, Hans-Joachim Wünsche (2012)
Active perception for autonomous vehicles2012 IEEE International Conference on Robotics and Automation
P. Whaite, F. Ferrie (1994)
Autonomous exploration: driven by uncertainty1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
J. Elfring, R. Molengraft, R. Janssen, M. Steinbuch (2011)
Two level world modeling for cooperating robots using a multiple hypotheses filter2011 IEEE International Conference on Robotics and Automation
Mazda Ahmadi, P. Stone (2005)
Continuous area sweeping: a task definition and initial approachICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.
Nearly every task a domestic robot could potentially solve requires a description of the robot’s environment which we call a world model. One problem underexposed in the literature is the maintenance of world models. Rather than on creating a world model, this work focuses on finding a strategy that determines when to update which object in the world model. The decision whether or not to update an object is based on the expected information gain obtained by the update, the action cost of the update and the task the robot performs. The proposed strategy is validated during both simulations and real world experiments. The extended series of simulations is performed to show both the performance gain with respect to a benchmark strategy and the effect of the various parameters. The experiments show the proposed approach on different set-ups and in different environments.
Autonomous Robots – Springer Journals
Published: Jul 2, 2014
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.