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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
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Type: BOOK - Published: 2013-12-12 - Publisher: Springer

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This book presents techniques that enable mobile manipulation robots to autonomously adapt to new situations. Covers kinematic modeling and learning; self-calib
Probabilistic Robotics
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Authors: Sebastian Thrun
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An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with p
Learning for Adaptive and Reactive Robot Control
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Type: BOOK - Published: 2022-02-08 - Publisher: MIT Press

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Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a w
Visual Attributes
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This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlightin
Towards Service Robots for Everyday Environments
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Authors: Erwin Prassler
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People have dreamed of machines, which would free them from unpleasant, dull, dirty and dangerous tasks and work for them as servants, for centuries if not mill