Development of magnetic sensor based local pose component for JAUS compliant system

In this study, we developed a JAUS-compliant Local Pose Component based on a magnetic sensor, which enables absolute positioning and heading angle of a mobile robot. In order to detect magnetic north regardless of the influence from other magnetic structures, we employed a gyro sensor and GPS to compensate absolute positioning and heading by applying the proposed complex-type Kalman filter. The proposed algorithm is implemented as JAUS Local Pose Component that is documented in the SAE JAUS AS6009 Mobility Service Set. The developed JAUS Local Pose Component enables enhanced interoperability. The validity of the proposed Local Pose Component was verified using an actual mobile robot under an outdoor environment.

[1]  Hugh F. Durrant-Whyte,et al.  Mobile robot localization by tracking geometric beacons , 1991, IEEE Trans. Robotics Autom..

[2]  Wolfram Burgard,et al.  Robust Monte Carlo localization for mobile robots , 2001, Artif. Intell..

[3]  A. Surrecio,et al.  Fusion of Odometry with Magnetic Sensors Using Kalman Filters and Augmented System Models for Mobile Robot Navigation , 2005, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[4]  Kazuyuki Kobayashi,et al.  Accurate differential global positioning system via fuzzy logic Kalman filter sensor fusion technique , 1998, IEEE Trans. Ind. Electron..

[5]  Ching-Chih Tsai A localization system of a mobile robot by fusing dead-reckoning and ultrasonic measurements , 1998, IEEE Trans. Instrum. Meas..

[6]  K. Watanabe,et al.  Application of particle filter to autonomous navigation system for outdoor environment , 2008, 2008 SICE Annual Conference.

[7]  Juha Röning,et al.  Simultaneous localization and mapping using ambient magnetic field , 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

[8]  Koichi Ozaki,et al.  Odometry correction with localization based on landmarkless magnetic map for navigation system of indoor mobile robot , 2000, 2009 4th International Conference on Autonomous Robots and Agents.

[9]  Kajiro Watanabe,et al.  A Study of Potential Field Based on Path Planning Algorithm by Using Two Fixed Angle Laser Scanners for JAUS Compliant Mobile Robot , 2010 .

[10]  Takashi Suehiro,et al.  RT-middleware: distributed component middleware for RT (robot technology) , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Kajiro Watanabe,et al.  Development of Lane Following Navigation Algorithm Based on Omni-directional Images for JAUS Compliant Mobile Robot , 2010 .

[12]  K. Watanabe,et al.  Development of laser rangefinder-based SLAM algorithm for mobile robot navigation , 2007, SICE Annual Conference 2007.

[13]  Qi Zhang,et al.  Autocalibration of a magnetic compass without heading reference , 2010, 2010 The 2nd Conference on Environmental Science and Information Application Technology.

[14]  Alexei Makarenko,et al.  Building a Software Architecture for a Human-Robot Team Using the Orca Framework , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[15]  Liqiang Feng,et al.  Measurement and correction of systematic odometry errors in mobile robots , 1996, IEEE Trans. Robotics Autom..