@article{mendes_coimbra_crisóstomo, 
  title={Circumventing Obstacles for Visual Robot Navigation Using a Stack of Odometric Data}, 
  abstractNote={Recent advances in understanding the source of intelligent behaviour show that it is strongly supported on the use of a large and sophisticated memory. Constant increase of processing power and constant cost decrease of computer memory have encouraged research in vision-based methods for robot navigation. The present approach uses images stored into a Sparse Distributed Memory, implemented in parallel in a Graphics Processing Unit, as a method for robot localization and navigation. Algorithms for following previously learnt paths using visual and odometric information are described. A stack-based method for avoiding random obstacles, using visual information, is proposed. The results show the algorithms are adequate for indoors robot localization and navigation.}, 
  author={Mendes and Coimbra and Crisóstomo}
  }