Bio-inspired behaviour-based control

Authors:
Nazmul H. Siddique;Balasundram P. Amavasai
Affiliations:
School of Computing and Intelligent Systems, University of Ulster, Londonderry, UK BT48 7JL;Mechanistic Research, Procter & Gamble, Reading, UK RG2 0QE
Venue:
Artificial Intelligence Review
Year:
2007

Citing 5
Cited 0

A neuro-fuzzy system architecture for behavior-based control of a mobile robot in unknown environments

Fuzzy Sets and Systems
An Behavior-based Robotics

An Behavior-based Robotics
Getting Humanoids to Move and Imitate

IEEE Intelligent Systems
A new approach using sensor data fusion for mobile robot navigation

Robotica
Adaptive behavior navigation of a mobile robot

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Quantified Score

Hi-index	0.00

Visualization

Abstract

The design and development of conventional controllers for robot platforms are sometimes too complex to achieve due to the fact that they require an exact model of the system and of the operating environment. The ability to pre-account for unknown operating environments is an important task for the controller to be robust. In contrast, biological controllers are model free and are based on simple working principles. Due to natural biological principles these controllers are adaptive and more robust than their conventional counterparts. In this paper, a behaviour-based controller has been developed, inspired by the concept of spinal fields found in frogs and rats. The performance of the controller has been verified on a Khepera robot platform.