Landmark Detection for Docking Tasks

For docking manoeuvres, the detection of the objects to dock needs to be precise as the minimum deviation from the objective may lead to the failure of this task. The objective of this article is to test possible ways to detect a landmark using a laser rangefinder for docking manoeuvres. We will test a beacon-based localisation algorithm and an algorithm based on natural landmarks already implemented, however, we will apply modifications to such methods. To verify the possibility of docking using these methods, we will conduct experiments with a real robot.

[1]  Y. Edan,et al.  Vision-Based Autonomous Robot Self-Docking and Recharging , 2006, 2006 World Automation Congress.

[2]  R.G. Gosine,et al.  Vision-based hybrid control strategy for autonomous docking of a mobile robot , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

[3]  Martin Lauer,et al.  Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization , 2005, RoboCup.

[4]  Jianwei Zhang,et al.  An autonomous docking method based on ultrasonic sensors for self-reconfigurable mobile robot , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[5]  Ren C. Luo,et al.  Search and track power charge docking station based on sound source for autonomous mobile robot applications , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Ren C. Luo,et al.  Automatic docking and recharging system for autonomous security robot , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Wei Wang,et al.  Ultrasonic based autonomous docking on plane for mobile robot , 2008, 2008 IEEE International Conference on Automation and Logistics.

[8]  Qinghua Li,et al.  An autonomous docking simulation system based on monocular vision , 2006, 2006 1st International Symposium on Systems and Control in Aerospace and Astronautics.

[9]  Nak Young Chong,et al.  Automated Robot Docking Using Direction Sensing RFID , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[10]  Ren C. Luo,et al.  Multi-sensor fusion for reduced uncertainty in autonomous mobile robot docking and recharging , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.