Cognitive robotic system for learning of complex visual stimuli

Author(s):  
A. S. Potapov ◽  
A. S. Rozhkov
Author(s):  
Chien Van Dang ◽  
Heungju Ahn ◽  
Hyeon C. Seo ◽  
Sang C. Lee

In this paper we propose a cognitive robotic system that utilizes computational psychology (the Soar cognitive architecture) and an obstacle avoidance method (modified dynamic window approach) in ROS (Robot Operating System) platform for controlling a mobile robot. This system is applied to perform a task of human-following, aiming to help the robot navigate itself to the target person avoiding collision. A cognitive agent based on Soar cognitive architecture is created to reason its current situation and make decisions on movement direction such as go-straight, turn-left or turn-right, whereas the dynamic window approach is modified to avoid collision by computing appropriate velocities for driving the robot motors. To the end, a part of implementation is presented to describes how the system works.


10.5772/60137 ◽  
2015 ◽  
Vol 12 (4) ◽  
pp. 37 ◽  
Author(s):  
Riccardo Muradore ◽  
Paolo Fiorini ◽  
Gokhan Akgun ◽  
Duygun Erol Barkana ◽  
Marcello Bonfe ◽  
...  

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