Multi-robot localization using relative observations

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2005, Issue , 2005, Pages 2797-2802

  Martinelli, Agostino ^a   Pont, Frederic ^a   Siegwart, Roland ^a  

^a EPFL   (Switzerland)

Author keywords

Kalman filter; Multi robot localization; Relative observation; Robot navigation; Sensor fusion

Indexed keywords

COMPUTER SIMULATION; KALMAN FILTERING; PROBLEM SOLVING; SENSOR DATA FUSION;

MULTI-ROBOT LOCALIZATION; RELATIVE OBSERVATION; ROBOT NAVIGATION; SENSOR FUSION;

ROBOTICS;

EID: 33846169755     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2005.1570537     Document Type: Conference Paper

References (15)

1. K.O.Arras, N.Tomatis, B.T.Jensen and R.Siegwart, "Multisensor on-the-fly localization: Precision and reliability for applications", Robotics and Autonomous Systems 34, pp. 131-143, 2001.
2. Y.Bar-Shalom, T.E.Fortmann, "Tracking and data association, mathematics in science and engineering", Vol 179, Academic Press, New York, 1988.
3. Chenavier F. and Crowley, J.L., (1992), Position Estimation for a Mobile Robot using Vision and Odometry. IEEE International Conference on Robotics and Automation (ICRA), Nice, France, 1992
4. Chong K.S., Kleeman L., "Accurate Odometry and Error Modelling for a Mobile Robot," International Conference on Robotics and Automation, vol. 4, pp. 2783-2788, 1997.
5. Crowley, J.L., (1989). World Modeling and Position Estimation for a Mobile Robot Using Ultrasonic Ranging. IEEE International Conference on Robotics and Automation (ICRA), Scottsdale, AZ, 1989.
6. S.I. Magnus Egerstedt and Xiaoming Hu, 2001, Formation Constrained Multi-Agent Control, IEEE Transaction On Robotics And Automation Vol 17, No.6, December 2001
7. D. Fox, W. Burgard, H. Kruppa, S. Thrun, 2000, A Probabilistic Approach to Collaborative Multi-Robot Localization, Autonomous Robots 8, 325-344, 2000
8. R. Grabowski, L.E. Navarro-Serment, C.J.J. Paredis, P.K. Khosla, 2000, Heterogeneous Teams of Modular Robots for Mapping and Exploration, Autonomous Robots, Vol. 8, no. 3, 293-308, June 200
9. Howard A., Mataric M.J. and Sukhatme G.S., "Localization for Mobile Robot Teams Using Maximum Likelihood Estimation", International Conference on Inteligent Robot and Systems (IROS02), Volume: 3, 30 Sept.-5 Oct. 2002 Pages:2849 - 2854, Lausanne.
10. K. Kato, H. Ishiguro, M. Barth, "Identifying and Localizing Robots in a Multi-Robot System Environment" International Conference on Inteligent Robot and Systems (IROS99) 1999
11. Martinelli A, Tomatis N, Tapus A. and Siegwart R., "Simultaneous Localization and Odometry Calibration" International Conference on Inteligent Robot and Systems (IROS03) Las Vegas, USA
12. J. Neira, J.D. Tardos, J. Horn, G. Schmidt, Fusing range and intensity images for mobile robot localization, IEEE Transaction On Robotics And Automation Vol 15, No.1, 1999.
13. Rekleitis, I.M., Dudek, G., Milios, E.E., "Multi-robot cooperative localization: a study of trade-offs between efficiency and accuracy" International Conference on Inteligent Robot and Systems (IROS02) Lausanne, Switzerland
14. S.I. Roumeliotis and G.A. Bekey, 2002, Distributed Multirobot Localization, IEEE Transaction On Robotics And Automation Vol 18, No.5, October 2002
15. J.R. Spletzer and C.J. Taylor, "A Bounded Uncertainty Approach to Multi-Robot Localization" International Conference on Inteligent Robot and Systems (IROS03) Las Vegas, USA, 2003