Bring consciousness to mobile robot being localized

2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

Volumn , Issue , 2009, Pages 741-746

  Wu, Dan ^a   Chen, Jingxi ^a   Wang, Yuefeng ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN OPERATOR; MOBILE ROBOT LOCALIZATION; NOVEL METHODS; ROBOTICS RESEARCH;

BIOMIMETICS; MOBILE ROBOTS; ROBOT APPLICATIONS; ROBOTICS;

INTELLIGENT ROBOTS;

EID: 77951464195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBIO.2009.5420582     Document Type: Conference Paper

References (11)

1. Brian S. Everitt, Sabine Landau, and Morven Leese. Cluster Analysis. Arnold Publishers, May 2001.
2. Dieter Fox. Adapting the sample size in particle filters through kldsampling. International Journal of Robotics Research, 22, 2003.
3. Dieter Fox, Wolfram Burgard, Hannes Kruppa, and Sebastian Thrun. A probabilistic approach to collaborative multi-robot localization. Auton.Robots, 8(3):325-344, 2000.
4. A. Gasparri, S. Panzieri, F. Pascucci, and G. Ulivi. A hybrid active global localisation algorithm for mobile robots. In Robotics and Automation, 2007 IEEE International Conference on, pages 3148-3153, 2007. ID: 1.
5. J. S Gutmann, W. Burgard, D. Fox, and K. Konolige. An experimental comparison of localization methods. In Intelligent Robots and Systems, 1998. Proceedings., 1998 IEEE/RSJ International Conference on, volume 2, pages 736-743 vol.2, 1998. ID: 1.
6. D. B. Rubin. Using the SIR algorithm to simulate posterior distributions. Bayesian Statistics 3. Oxford University Press, 1988.
7. Sergios Theodoridis and Konstantinos Koutroumbas. Pattern Recognition, Third Edition. Academic Press, February 2006.
8. Sebastian Thrun, Wolfram Burgard, and Dieter Fox. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents). The MIT Press, September 2005.
9. Sebastian Thrun, Dieter Fox, Wolfram Burgard, and Frank Dellaert. Robust monte carlo localization for mobile robots. Artificial Intelligence, 128(1-2):99-141, 5// 2001. M3: doi: DOI: 10.1016/S0004-3702(01)00069-8.
10. B. Tribelhorn and Z. Dodds. Evaluating the roomba: A low-cost, ubiquitous platform for robotics research and education. In Robotics and Automation, 2007 IEEE International Conference on, pages 1393-1399, 2007. ID: 1.
11. Ben Tribelhorn and Zach Dodds. Envisioning the roomba as ai resource: A classroom and laboratory evaluation. 2007.