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Springer Vision Based Identification and Force Control of Robots

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Description

Explore advanced robotic applications with this technical text from Springer. This volume focuses on end-to-end robotic systems using vision and control algorithms to solve complex challenges in unstructured environments. Readers learn to design innovative solutions for sensor-guided robotic bin-picking and assembly tasks. The book demonstrates the practical use of sensor fusion through a specific bin-picking task involving texture-less cylindrical objects. It also covers system identification techniques required to obtain precise kinematic and dynamic parameters of an industrial robot. These methods enable control schemes to perform autonomous pick-and-place tasks without user interference, making it a valuable resource for engineering studies in systems, decision, and control.

Key Features

Covers end-to-end robotic applications through the use of vision and control algorithms.

Provides guidance on designing solutions for sensor-guided robotic bin-picking and assembly in unstructured environments.

Demonstrates sensor fusion applications using a bin-picking task for texture-less cylindrical objects.

Discusses system identification techniques to obtain precise kinematic and dynamic parameters for industrial robots.

Explains how to implement control schemes for autonomous pick-and-place tasks without user interference.

Part of the Studies in Systems, Decision and Control series published by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 March 2023
Listed Since
24 February 2023

Barcode

No barcode data available

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