Automated Robot Docking Using Direction Sensing RFID

Automated target acquisition and docking is key to enabling various applications of autonomous mobile robots in indoor environments. For the purpose, many researches have been devoted to the development of location sensing techniques employing the latest in RFID or GPS. However, it has not yet become possible to attain high accuracy in those techniques, particularly in cluttered or dynamically changing environments. In this paper, we propose a novel location sensing RFID reader equipped with a dual directional antenna that communicates with controllable RF transponders. The dual directional antenna estimates the direction of arrival (DOA) of signals from various transponders by using the ratio of the received strength between two antennas. This enables the robot to continuously monitor the changes in the ratio and find its way to the target transponder. To verify the validity of the proposed system in real environments populated with unknown obstacles, we perform detailed experiments using simulations and hardware implementations. Specifically, the target acquisition and docking guidance are demonstrated in a multiple transponder environment under various circumstances.

[1]  Gaetano Borriello,et al.  Location Systems for Ubiquitous Computing , 2001, Computer.

[2]  Hari Balakrishnan,et al.  Tracking moving devices with the cricket location system , 2004, MobiSys '04.

[3]  R. Bansal,et al.  Antenna theory; analysis and design , 1984, Proceedings of the IEEE.

[4]  J. Kong,et al.  Scattering of Electromagnetic Waves: Advanced Topics , 2001 .

[5]  Yunhao Liu,et al.  LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[6]  Constantine A. Balanis,et al.  Antenna Theory: Analysis and Design , 1982 .

[7]  James J. Little,et al.  Vision-based global localization and mapping for mobile robots , 2005, IEEE Transactions on Robotics.

[8]  Nak Young Chong,et al.  RFID-based mobile robot guidance to a stationary target , 2007 .

[9]  A.G. d'Assuncao,et al.  Efficient ray-tracing method for indoor propagation prediction , 2005, SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics, 2005..

[10]  David M. Pozar Microwave and RF wireless systems , 2001 .

[11]  Bruce A. MacDonald,et al.  Vision-based localization algorithm based on landmark matching, triangulation, reconstruction, and comparison , 2005, IEEE Transactions on Robotics.

[12]  G. Thiele,et al.  Antenna theory and design , 1981 .

[13]  Gaetano Borriello,et al.  SpotON: An Indoor 3D Location Sensing Technology Based on RF Signal Strength , 2000 .