UZH-Logo

Real-time microforce sensors and high speed vision system for insect flight control analysis


Graetzel, C F; Fry, S N; Beyeler, F; Sun, Y; Nelson, B J (2008). Real-time microforce sensors and high speed vision system for insect flight control analysis. In: Khatib, O; Kumar, V; Rus, D. Experimental Robotics : The 10th International Symposium on Experimental Robotics. Berlin, DE: Springer, 451-460.

Abstract

In this paper, we show how ”bio-inspired” robotics can benefit from a more generalized approach than case-by-case emulation. This generalization is obtained by investigating the design constraints found in biological organisms using a reverse-engineering approach. To achieve this, we have developed two novel technologies that are well suited to analyze the biomechanics and neural control in insect flight. First, we present a micro-electro-mechanical (MEMS) force sensor for measuring flight forces. Second, we describe a 6000Hz high speed vision system for characterizing wing kinematics in real time. Finally, we integrate these technologies within a tethered flight ”simulator” for open and closed-loop investigations of sensory-motor pathways. Initial results are presented and future research perspectives are discussed.

In this paper, we show how ”bio-inspired” robotics can benefit from a more generalized approach than case-by-case emulation. This generalization is obtained by investigating the design constraints found in biological organisms using a reverse-engineering approach. To achieve this, we have developed two novel technologies that are well suited to analyze the biomechanics and neural control in insect flight. First, we present a micro-electro-mechanical (MEMS) force sensor for measuring flight forces. Second, we describe a 6000Hz high speed vision system for characterizing wing kinematics in real time. Finally, we integrate these technologies within a tethered flight ”simulator” for open and closed-loop investigations of sensory-motor pathways. Initial results are presented and future research perspectives are discussed.

Citations

Altmetrics

Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2008
Deposited On:07 Mar 2009 18:13
Last Modified:05 Apr 2016 13:10
Publisher:Springer
Series Name:Springer Tracts in Advanced Robotics
Number:39
ISSN:1610-7438 (Print), 1610-742X (Online)
ISBN:978-3-540-77457-0 (Online), 978-3-540-77456-3 (Print)
Publisher DOI:10.1007/978-3-540-77457-0_42

Download

Full text not available from this repository.View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations