DocumentCode :
1786125
Title :
Embedding a concurrent autonomous agent in a microcontrollers network
Author :
Ferreira, Diego Stefano F. ; da Silva, Rafael R. ; Loureiro da Costa, Augusto
Author_Institution :
Robot. Lab., Fed. Univ. of Bahia, Salvador, Brazil
fYear :
2014
fDate :
26-28 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a microcontroller heterogeneous network is proposed to embed a concurrent autonomous agent. The network was designed to fit the concurrency requirements of the cognitive model of the aforementioned agent. The architecture of the agent comprises three levels, namely, the reactive level, instinctive level and the cognitive level, which runs concurrently. The reactive level is embedded in a PSoC 5LP, consisting of behaviours created over a embedded kinematic controller. The instinctive level runs in a mbed NXP LPC1768, which receives perceptions from and sends the active behaviour to the reactive level through a CAN bus. And The cognitive level runs on a DNP/2486 which, in turn, receives symbolic information from and sends new local goals to instinctive level through an Ethernet network. Finally, the architecture used in the experiments is presented, followed by the results.
Keywords :
cognition; cognitive systems; embedded systems; handicapped aids; local area networks; mechanoception; medical robotics; microcontrollers; mobile robots; robot kinematics; system-on-chip; CAN bus; DNP/2486; Ethernet network; PSoC 5LP; active behaviour; agent architecture; cognitive level; cognitive model; concurrency requirements; concurrent autonomous agent; embedded kinematic controller; instinctive level; local goals; mbed NXP LPC1768; microcontroller heterogeneous network; perceptions; reactive level; symbolic information; Autonomous agents; Computer architecture; Hardware; Microcontrollers; Mobile robots; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 5th ISSNIP-IEEE
Conference_Location :
Salvador
Print_ISBN :
978-1-4799-5688-3
Type :
conf
DOI :
10.1109/BRC.2014.6881004
Filename :
6881004
Link To Document :
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