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
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