DocumentCode :
116147
Title :
A bio-inspired architecture of the vestibular system for body balance of a humanoid robot
Author :
Medina, Ory ; Vargas, Sergio ; Madrigal, Daniel ; Ramos, Felix ; Torres, Gerardo
Author_Institution :
Comput. Sci., CINVESTAV Guadalajara, Guadalajara, Mexico
fYear :
2014
fDate :
18-20 Aug. 2014
Firstpage :
73
Lastpage :
79
Abstract :
This paper describes the design and implementation of the model of a synthetic vestibular system. The vestibular system in humans, along with other sensory and motor systems, is responsible for three cognitive functions that support mobility. First, it helps humans to maintain the balance of the body. Second, it allows humans to stabilize the head. Finally, when the body or head is in motion it helps humans to maintain the visual gaze on a target. To perform these tasks, the vestibular system uses a sensor array that is located in the inner ear. The model is based on neurophysiological evidence. For that reason, it is necessary to model all the components involved in the balance. The model includes a component for each sensors, cortical nervous structure and intracortical nervous structures. It also defines and generates the motor output signals. The proposed model was connected to a BioloidTMPremium humanoid robot to simulate the motor output and the proprioceptive inputs. The robot provided inconclusive results because its controller was not able to move every joint in parallel. Although the results were not the desired, the sensor communication and the architecture processing satisfied our expectations.
Keywords :
humanoid robots; sensors; BioloidTMPremium humanoid robot; bioinspired architecture; body balance; cognitive functions; head stabilization; intracortical nervous structures; motor output signal generation; motor output simulation; motor system; neurophysiological evidence; proprioceptive input simulation; sensor array; sensor communication; sensory system; synthetic vestibular system; visual gaze; Acceleration; Accelerometers; Arrays; Gyroscopes; Muscles; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
Type :
conf
DOI :
10.1109/ICCI-CC.2014.6921444
Filename :
6921444
Link To Document :
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