Title
A Bio-Inspired Model for Visual Collision Avoidance on a Hexapod Walking Robot.
Abstract
While navigating their environments it is essential for autonomous mobile robots to actively avoid collisions with obstacles. Flying insects perform this behavioural task with ease relying mainly on information the visual system provides. Here we implement a bio-inspired collision avoidance algorithm based on the extraction of nearness information from visual motion on the hexapod walking robot platform HECTOR. The algorithm allows HECTOR to navigate cluttered environments while actively avoiding obstacles.
Year
DOI
Venue
2016
10.1007/978-3-319-42417-0_16
BIOMIMETIC AND BIOHYBRID SYSTEMS, LIVING MACHINES 2016
Keywords
Field
DocType
Biorobotics,Bio-inspired vision,Collision avoidance,Optic flow,Elementary motion detector
Computer vision,Computer science,Collision,Biorobotics,Artificial intelligence,Visual motion,Hexapod,Robot,Mobile robot
Conference
Volume
ISSN
Citations 
9793
0302-9743
3
PageRank 
References 
Authors
0.42
9
6
Name
Order
Citations
PageRank
Hanno Gerd Meyer130.42
olivier bertrand2202.36
Jan Paskarbeit3294.08
Jens Peter Lindemann4364.45
Axel Schneider5426.41
Martin Egelhaaf67914.40