Field interactive robotic entity (FIRE) adaptive learning of environment using neural networks a VLSI implementation

Author

Chandramouli, Krishna ; Sankarshanan, B.

Author_Institution

SRM Inst. of Sci. & Technol., Kattankulathur, India

Volume

1

fYear

2004

fDate

31 Aug.-4 Sept. 2004

Firstpage

535

Abstract

Field interactive robotic entity (FIRE) is an ATMEL™ micro controller controlled (belong to the 8051 microcontroller) robot. The maneuvering capabilities of the robot are based on two sensors, touch and edge detector. The touch sensor is a switch, to produce a low signal when an obstacle is encountered. The limitation of the robot is that it can sense an obstacle only when it makes a contact with it. To overcome this limitation an application specific integrated circuit [ASIC] chip is proposed incorporating neural networks. The learning algorithm implemented is ´unsupervised learning´ based on memory. The proposed design is aimed at implementing in an XILINX™ Spartan FPGA.

Keywords

VLSI; adaptive systems; application specific integrated circuits; edge detection; field programmable gate arrays; microcontrollers; mobile robots; neural nets; tactile sensors; unsupervised learning; ASIC chip; ATMEL™ microcontroller; VLSI implementation; XILINX™ Spartan FPGA; adaptive learning; application specific integrated circuit chip; field interactive robotic entity; neural network; touch sensor; unsupervised learning; Application specific integrated circuits; Contacts; Detectors; Fires; Microcontrollers; Neural networks; Robot sensing systems; Switches; Tactile sensors; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on

Print_ISBN

0-7803-8406-7

Type

conf

DOI

10.1109/ICOSP.2004.1452700

Filename

1452700