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The International Journal of Robotics Research
Article
License: CC BY NC SA
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https://doi.org/10.5772/4736...
Part of book or chapter of book . 2006 . Peer-reviewed
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Force Sensors in Hexapod Locomotion

Authors: Sathya Kaliyamoorthy; Roger D. Quinn; Sasha N. Zill;

Force Sensors in Hexapod Locomotion

Abstract

Biological systems can provide useful insights into principles of design and control of locomotion that can be applied to legged robots. In this paper we review our work on cockroaches using finite element analysis to model how loads are sensed and regulated in walking and climbing. A number of biological studies have shown that sensors that detect forces in the legs of insects are of particular importance in controlling walking and adapting locomotion to non-horizontal terrains. Our analysis strongly suggests that (i) the system can detect specific force vectors (body load versus propulsion) via sensors located in the leg in positions close to the body and (ii) the system uses this information in positive load feedback to regulate walking movements. These principles and design elements provide examples that can be applied in legged locomotion in walking machines.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Average
hybrid