An Integrated Triangulation Laser Scanner for Obstacle Detection of Miniature Mobile Robots in Indoor Environment

The miniaturization of an autonomous robot requires the integration of components that not only need to satisfy strict spatial constraints, but also need to demonstrate useful functionalities and performance, while demanding low power. For miniaturized autonomous robots that aim at exploring unknown environments, sensors for navigation and for the understanding of basic geometrical features of the environment are of utmost importance for a robot's survival and mission. This paper presents a miniaturized triangulation laser scanner that was developed and characterized for use on a 10 × 10 × 10 cm3 robot. The optimal configurations of the laser sensor on two sides of the robot are discussed, and measurement formulas as well as theoretical resolution are deduced. For indoor applications, the measurement range of the system runs from approximately 80 mm, with 1 mm resolution, up to 600 mm, with 12 mm resolution. The aim of the work is to demonstrate the possibility of extracting basic information from the robot surroundings by means of small, simple, low-power, and low-cost demanding devices, which, in addition, can be scaled down in order to equip even smaller robots.

[1]  Biao Zhang Three-Dimensional Laser-Assisted Image Analysis for Robotic Surface Operation with Camera-Space Manipulation , 2007 .

[2]  Kaspar Althoefer,et al.  Pipe inspection using a laser-based transducer and automated analysis techniques , 2003 .

[3]  Dario Floreano,et al.  Toward 30-gram Autonomous Indoor Aircraft: Vision-based Obstacle Avoidance and Altitude Control , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[4]  H. Suzuki,et al.  Visual servoing to catch fish using global/local GA search , 2005, IEEE/ASME Transactions on Mechatronics.

[5]  Kurt Konolige,et al.  A low-cost laser distance sensor , 2008, 2008 IEEE International Conference on Robotics and Automation.

[6]  Harry H. Cheng,et al.  A real-time laser-based detection system for measurement of delineations of moving vehicles , 2001 .

[7]  V. Parra-Vega,et al.  Visual servoing for constrained planar robots subject to complex friction , 2006, IEEE/ASME Transactions on Mechatronics.

[8]  Wolfram Burgard,et al.  Towards a navigation system for autonomous indoor flying , 2009, 2009 IEEE International Conference on Robotics and Automation.

[9]  M. Bozorg,et al.  A Decentralized Architecture for Simultaneous Localization and Mapping , 2009, IEEE/ASME Transactions on Mechatronics.

[10]  Paul Newman,et al.  Using laser range data for 3D SLAM in outdoor environments , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[11]  Hoa G. Nguyen,et al.  A Simple Method for Range Finding via Laser Triangulation. , 1995 .

[12]  Shigeo Hirose,et al.  Laser triangulation range finder available under direct sunlight , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[13]  M. Indri,et al.  Monte Carlo Localization of mini-rovers with low-cost IR sensors , 2007, 2007 IEEE/ASME international conference on advanced intelligent mechatronics.

[14]  T. Dutta,et al.  Utilization of ultrasound sensors for anti-collision systems of powered wheelchairs , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[15]  Cang Ye,et al.  A novel filter for terrain mapping with laser rangefinders , 2004, IEEE Transactions on Robotics.

[16]  Roland Siegwart,et al.  Orthogonal SLAM: a Step toward Lightweight Indoor Autonomous Navigation , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.