Title :
Uncertain ground detection by CNN based infrared proximity arrays
Author :
Koller, Michael ; Cserey, György
Author_Institution :
Fac. of Inf. Technol. & Bionics, Pazmany Peter Catholic Univ., Budapest, Hungary
Abstract :
In sensory robotics safe locomotion needs as detailed discovery of unknown environments as possible. In this paper, uncertain ground detection method is proposed using CNN based infrared proximity arrays. The aim of this research is to improve the motor control of autonomous mobile robots. Three locally hazardous terrain patterns could be detected both in simulations and hardware experiments.
Keywords :
cellular neural nets; mobile robots; motion control; neurocontrollers; CNN; autonomous mobile robot; hazardous terrain pattern; infrared proximity array; motor control; safe locomotion; sensory robotics; uncertain ground detection; Biomimetics; Educational institutions; Foot; Hardware; Information technology; Mobile robots; Robot sensing systems;
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
DOI :
10.1109/CNNA.2014.6888604