JOURNAL ARTICLE

Insect inspired behaviours for the autonomous control of mobile robots

Abstract

Animals navigate through various uncontrolled environments with seemingly little effort. Flying insects, especially, are quite adept at manoeuvring in complex, unpredictable and possibly hostile environments. Through both simulation and real-world experiments, we demonstrate the feasibility of equipping a mobile robot with the ability to navigate a corridor environment, in real time, using principles based on insect-based visual guidance. In particular we have used the bees' navigational strategy of measuring object range in terms of image velocity. We have also shown the viability and usefulness of various other insect behaviours: 1) keeping walls equidistant, 2) slowing down when approaching an object, 3) regulating speed according to tunnel width, and 4) using visual motion as a measure of the distance travelled.

Keywords:
Equidistant Mobile robot Computer science Object (grammar) Computer vision Robot Robot vision Artificial intelligence Range (aeronautics) Measure (data warehouse) Human–computer interaction Visual servoing Motion (physics) Simulation Engineering Aerospace engineering

Metrics

53
Cited By
1.07
FWCI (Field Weighted Citation Impact)
22
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neurobiology and Insect Physiology Research
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
Biomimetic flight and propulsion mechanisms
Physical Sciences →  Engineering →  Aerospace Engineering
Visual perception and processing mechanisms
Life Sciences →  Neuroscience →  Cognitive Neuroscience

Related Documents

BOOK-CHAPTER

Biologically Inspired Turn Control for Autonomous Mobile Robots

Patrick XavierCecilio ÁnguloSérgio Escalera

Frontiers in artificial intelligence and applications Year: 2011 Vol: 232 Pages: 189-198
JOURNAL ARTICLE

Biologically inspired control of autonomous robots

George A. Bekey

Journal:   Robotics and Autonomous Systems Year: 1996 Vol: 18 (1-2)Pages: 21-31
BOOK-CHAPTER

Control of Autonomous Mobile Robots

Magnus Egerstedt

Birkhäuser Boston eBooks Year: 2005 Pages: 767-778
© 2026 ScienceGate Book Chapters — All rights reserved.