Approaches to Probabilistic Model Learning for Mobile Manipulation Robots | EKB DL

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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots

Approaches to Probabilistic Model Learning for Mobile Manipulation Robots

Description

This book presents techniques that enable mobile manipulation robots to autonomously adapt to new situations. Covers kinematic modeling and learning; self-calibration; tactile sensing and object recognition; imitation learning and programming by demonstration.

Keywords

Technology & EngineeringRoboticsComputersArtificial IntelligenceSoftware Development & EngineeringComputer GraphicsManufacturingOptical Data Processing

2013Book

Author(s)Jürgen Sturm

PublisherSpringer Berlin Heidelberg

ISBN9783642371592

LanguageEnglish

SpringerLink Book

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