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Insect based navigation and its applications to the autonomous control of mobile robots

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conference contribution
posted on 1994-01-01, 00:00 authored by K Weber, Svetha VenkateshSvetha Venkatesh, D Kieronska
Giving robots the ability to autonomously move around in various real-world environments has been a major goal of AI (artificial intelligence) for quite some time. To this end it is vital for robots to be able to perceive their surroundings in 3D; they must be able to estimate the range of obstacles in their path.

Animals navigate through various uncontrolled environments with seemingly little effort. Flying insects, especially, are quite adept at manoeuvring in complex, unpredictable and possibly hostile and hazardous environments.

In this paper it is shown that very simple motion cues, inspired by the visual navigation of flying insects, can be used to provide a mobile robot with the ability to successfully traverse a corridor environment. Equipping an autonomous mobile robot with the ability to successfully navigate real-word environments (in real-time) constitutes a major challenge for AI and robotics. It is in this area that insect based navigation has something to offer.

History

Event

International Conference on Automation, Robotics and Computer Vision (3rd : 1994 : Shang-ri La, Singapore)

Pagination

1228 - 1232

Publisher

Nanyang Technological University, School of Electrical and Electronic Engineering

Location

Shangri-La, Singapore

Place of publication

Singapore, Singapore

Start date

1994-11-09

End date

1994-11-11

ISBN-13

9789810057930

ISBN-10

9810057938

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

E1.1 Full written paper - refereed

Copyright notice

1994. IEEE

Title of proceedings

ICARCV 1994 : Third International Conference on Automation, Robotics and Computer Vision

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