Observatorio de I+D+i UPM

Memorias de investigación
Thesis:
Cognitive risk detection and avoidance system for mUAV in outdoor scenarios
Year:2015
Research Areas
  • Engineering
Information
Abstract
This thesis proposes replacing the traditional obstacle avoidance paradigm in aerial robotics by a risk avoidance approach. In this sense, a human-inspired cognitive framework, capable of understanding the environment, has been designed and implemented. It reproduces the human perception/reasoning, which have been analyzed by means of neuropsychological andsocioantropological experimentation. Thus, using situational/contextual-dependent information, the frameworks has been able to detect and analyze the potential risks present in the scenarios as human do. Furthermore, the system developed also provides the robots with behavioural commands to avoid the risks, closing this way the loop of human awareness and situational management
International
Si
Type
Doctoral
Mark Rating
Sobresaliente cum laude
Date
30/06/2015
Participants
  • Autor: David Sanz Muñoz (UPM)
  • Director: Antonio Barrientos Cruz (UPM)
  • Director: Jaime del Cerro Giner (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Robótica y Cibernética
  • Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC
  • Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)