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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

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Increasing Perceptual Skills of Robots Through Proximal Force/Torque Sensors - A Study for the Implementation of Active Compliance on the iCub Humanoid Robot (Hardcover, 2014 ed.) Loot Price: R2,771
Discovery Miles 27 710
Increasing Perceptual Skills of Robots Through Proximal Force/Torque Sensors - A Study for the Implementation of Active...

Increasing Perceptual Skills of Robots Through Proximal Force/Torque Sensors - A Study for the Implementation of Active Compliance on the iCub Humanoid Robot (Hardcover, 2014 ed.)

Matteo Fumagalli

Series: Springer Theses

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Loot Price R2,771 Discovery Miles 27 710 | Repayment Terms: R260 pm x 12*

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This thesis proposes an effective methodology for enhancing the perceptual capabilities and achieving interaction control of the iCub humanoid robot. The method is based on the integration of measurements from different sensors (force/torque, inertial and tactile sensors) distributed along the robot's kinematic chain. Humanoid robots require a substantial amount of sensor information to create their own representations of the surrounding environment. Tactile perception is of primary importance for the exploration process. Also in humans, the tactile system is completely functional at birth. In humanoid robotics, the measurements of forces and torques that the robot exchanges with its surroundings are essential for safe interaction with the environment and with humans. The approach proposed in this thesis can successfully enhance the perceptual capabilities of robots by exploiting only a limited number of both localized and distributed sensors, providing a feasible and convenient solution for achieving active compliance control of humanoid robots.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: September 2013
First published: 2014
Authors: Matteo Fumagalli
Dimensions: 235 x 155 x 13mm (L x W x T)
Format: Hardcover
Pages: 105
Edition: 2014 ed.
ISBN-13: 978-3-319-01121-9
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN: 3-319-01121-9
Barcode: 9783319011219

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