Autonomous reconnaissance and surveillance in urban structures - Eurathlon 2013

In this paper we propose an integrated hard- and software system for autonomous exploration and mapping of dilapidated buildings. The system is based on well understood approaches towards SLAM and exploration. Because of the real world nature of the application, a fragile wireless connection and difficult obstacles like staircases were taken into account during system design. Additionally, a drop-off system for Wi-Fi relays was introduced in order to increase the communication range. Further, a homing function is added to safely explore beyond radio coverage. Negative obstacles are handled using a tilted laserscanner. A semi-automatic stair climbing mechanism allows to travel between floors. The system is interconnected with a control station, giving an operator a fine grained control over the mission without disturbing the exploration and mapping task. The system was successfully tested at the Eurathlon 2013 robotics competition under real world conditions.

[1]  A. Konigs,et al.  Autonomous camp surveillance with a coordinated multi robot system , 2009, 2009 IEEE International Workshop on Safety, Security & Rescue Robotics (SSRR 2009).

[2]  Basilio Sierra,et al.  ON THE APPLICATION OF COLOUR HISTOGRAMS FOR MOBILE ROBOT LOCALISATION , 2005 .

[3]  Joaquim Salvi,et al.  The SLAM problem: a survey , 2008, CCIA.

[4]  Stefan Kohlbrecher,et al.  A flexible and scalable SLAM system with full 3D motion estimation , 2011, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics.

[5]  Howie Choset,et al.  Coverage for robotics – A survey of recent results , 2001, Annals of Mathematics and Artificial Intelligence.

[6]  S. Wirth,et al.  Exploration Transform: A stable exploring algorithm for robots in rescue environments , 2007, 2007 IEEE International Workshop on Safety, Security and Rescue Robotics.

[7]  Pedro U. Lima,et al.  RAPOSA: Semi-Autonomous Robot for Rescue Operations , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  A. Sanfeliu,et al.  Object tracking system using colour histograms * , 2001 .

[9]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[10]  G. Qiu,et al.  A colour histogram based approach to human face detection , 2003 .