Robots Localisation in Indoor and Service Scenarios - Pinto, Miguel;Moreira, António Paulo;Matos, Aníbal
51,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
26 °P sammeln
  • Broschiertes Buch

Tasks and methodical inspection of facilities can be safer and easier with a minimum human intervention and mobile robots are a solution to achieve this. For that, robots must be completely autonomous and, preferentially, they should operate without any artificial landmarks or beacons placed on the environment navigation. This work addresses localisation strategies for mobile robots, which can operate without environment preparation. Two different approaches for robot localisation were developed. The first approach, simple landmark-based, applied in a Lego NXT, operates in a constrained and…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
Tasks and methodical inspection of facilities can be safer and easier with a minimum human intervention and mobile robots are a solution to achieve this. For that, robots must be completely autonomous and, preferentially, they should operate without any artificial landmarks or beacons placed on the environment navigation. This work addresses localisation strategies for mobile robots, which can operate without environment preparation. Two different approaches for robot localisation were developed. The first approach, simple landmark-based, applied in a Lego NXT, operates in a constrained and simpler scenario. For the vehicle's localisation, it is necessary for the robot to see smooth walls. Furthermore, this approach was developed in a way that makes it suitable to be used as tool to teach mobile robot concepts to undergraduate students. The second approach, three-dimensional map-based, applied to a surveillance robot, is much more realistic and has much less constraints. It enables navigation through dynamic and service environments, with low computational power requirements, using a 3D map of the building and data acquired by a tilting Laser Range Finder.
Autorenporträt
Miguel Pinto born at Caracas, Venezuela, June 6, 1986. He completed the degrees of BSc, MSc and PhD in Electrical and Computer Engineering at the University Porto in 2007, 2009 and 2013, respectively. Currently, he is researcher at the Robotic and Intelligent Systems Unit of INESC TEC (Institute for Systems and Computer Engineering of Porto).