Experiments in evolutionary synthesis of robotic neurocontrollers

Karthik Balakrishnan; Vasant Honavar

Experiments in evolutionary synthesis of robotic neurocontrollers

Karthik Balakrishnan, Vasant Honavar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Recurrent networks are proposed for designing neurocontrollers in robotic control systems. An evolutionary algorithm is used to develop a neurocontroller for a robot clearing an arena by pushing boxes to the enclosing walls. The number of boxes that the robot pushes to the walls, within an allocated time, is the measure of its fitness. The initially feedforward networks evolve and produce high fitness neurocontrollers with 30% (and sometimes even 70%) fewer recurrent links compared to networks fully recurrent from the start.

Original language	English (US)
Title of host publication	Proceedings of the National Conference on Artificial Intelligence
Editors	Anon
Publisher	AAAI
Pages	1378
Number of pages	1
Volume	2
State	Published - 1996
Event	Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2) - Portland, OR, USA Duration: Aug 4 1996 → Aug 8 1996

Other

Other	Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2)
City	Portland, OR, USA
Period	8/4/96 → 8/8/96

All Science Journal Classification (ASJC) codes

Software

Cite this

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title = "Experiments in evolutionary synthesis of robotic neurocontrollers",

abstract = "Recurrent networks are proposed for designing neurocontrollers in robotic control systems. An evolutionary algorithm is used to develop a neurocontroller for a robot clearing an arena by pushing boxes to the enclosing walls. The number of boxes that the robot pushes to the walls, within an allocated time, is the measure of its fitness. The initially feedforward networks evolve and produce high fitness neurocontrollers with 30% (and sometimes even 70%) fewer recurrent links compared to networks fully recurrent from the start.",

author = "Karthik Balakrishnan and Vasant Honavar",

year = "1996",

language = "English (US)",

volume = "2",

pages = "1378",

editor = "Anon",

booktitle = "Proceedings of the National Conference on Artificial Intelligence",

publisher = "AAAI",

note = "Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2) ; Conference date: 04-08-1996 Through 08-08-1996",

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AU - Balakrishnan, Karthik

AU - Honavar, Vasant

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N2 - Recurrent networks are proposed for designing neurocontrollers in robotic control systems. An evolutionary algorithm is used to develop a neurocontroller for a robot clearing an arena by pushing boxes to the enclosing walls. The number of boxes that the robot pushes to the walls, within an allocated time, is the measure of its fitness. The initially feedforward networks evolve and produce high fitness neurocontrollers with 30% (and sometimes even 70%) fewer recurrent links compared to networks fully recurrent from the start.

AB - Recurrent networks are proposed for designing neurocontrollers in robotic control systems. An evolutionary algorithm is used to develop a neurocontroller for a robot clearing an arena by pushing boxes to the enclosing walls. The number of boxes that the robot pushes to the walls, within an allocated time, is the measure of its fitness. The initially feedforward networks evolve and produce high fitness neurocontrollers with 30% (and sometimes even 70%) fewer recurrent links compared to networks fully recurrent from the start.

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M3 - Conference contribution

AN - SCOPUS:0030374844

VL - 2

SP - 1378

BT - Proceedings of the National Conference on Artificial Intelligence

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PB - AAAI

T2 - Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2)

Y2 - 4 August 1996 through 8 August 1996

ER -

Experiments in evolutionary synthesis of robotic neurocontrollers

Abstract

Other

All Science Journal Classification (ASJC) codes

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