Motion and Sensing in Electrosensory Systems | Investigating Sensor-Based Control in Electrosensory-Endowed Fish and Robots

James Solberg

ISBN 10: 3639108507 / ISBN 13: 9783639108507

Published by VDM Verlag Dr. Müller, 2009

About this Item

Motion and Sensing in Electrosensory Systems | Investigating Sensor-Based Control in Electrosensory-Endowed Fish and Robots | James Solberg | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639108507 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 101670713

Bibliographic Details

• Title: Motion and Sensing in Electrosensory Systems | Investigating Sensor-Based Control in Electrosensory-Endowed Fish and Robots
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639108507
• ISBN 13: 9783639108507
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 150W x 13H x 219D millimeters 150 millimeters width by 13 millimeters height by 219 millimeters depth
• Weight: 399 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

I have chosen electrosensory systems as a platform to explore sensing and control in both artificial and biological systems. In particular, active electrolocation is investigated, where the task is to estimate the location of a target using measurements from a self-generated electric field. The fundamentals of electrolocation are described first with a finite-element numerical approximation of the governing equations, and then simple models are used to predict electrosensory observations. Several belief maintenance schemes are employed to fuse sensor data and explicitly account for uncertainties in the position of the target. In the biological realm, a protocol for simulating the sensory acquisition and belief maintenance during prey-capture behavior in the weakly electric fish was developed. Using these simulations optimal sensing was investigated, and results provide insight into the interdependencies and co-evolution of sensing and motion systems of the weakly electric fish. In the artificial realm, an electrosensory robot capable of actively locating underwater targets by measuring perturbations in a self-generated electric field was built.

About the Author

Dr. Solberg received his PhD in Mechanical Engineering from Northwestern University through the Laboratory of Intelligent Mechanical Systems. He then worked briefly as a physicist at Northrop Grumman Corporation developing algorithms for counter-measure systems. James currently works as a Design and Controls Engineer at Kinea Design, LLC.