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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots

2013-12-12 Technology & Engineering
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Release : 2013-12-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 604/5 ( reviews)

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Book Synopsis Approaches to Probabilistic Model Learning for Mobile Manipulation Robots by : Jürgen Sturm

Download or read book Approaches to Probabilistic Model Learning for Mobile Manipulation Robots written by Jürgen Sturm. This book was released on 2013-12-12. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Approaches to Probabilistic Model Learning for Mobile Manipulation Robots

2011
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Release : 2011
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Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Approaches to Probabilistic Model Learning for Mobile Manipulation Robots by : Jürgen Sturm

Download or read book Approaches to Probabilistic Model Learning for Mobile Manipulation Robots written by Jürgen Sturm. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt:

Probabilistic Robotics

2005-08-19 Technology & Engineering
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Release : 2005-08-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 623/5 ( reviews)

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Book Synopsis Probabilistic Robotics by : Sebastian Thrun

Download or read book Probabilistic Robotics written by Sebastian Thrun. This book was released on 2005-08-19. Available in PDF, EPUB and Kindle. Book excerpt: 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 perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

Learning for Adaptive and Reactive Robot Control

2022-02-08 Technology & Engineering
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Release : 2022-02-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 017/5 ( reviews)

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Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard

Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard. This book was released on 2022-02-08. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Visual Attributes

2017-03-21 Computers
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Release : 2017-03-21
Genre : Computers
Kind : eBook
Book Rating : 775/5 ( reviews)

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Book Synopsis Visual Attributes by : Rogerio Schmidt Feris

Download or read book Visual Attributes written by Rogerio Schmidt Feris. This book was released on 2017-03-21. Available in PDF, EPUB and Kindle. Book excerpt: This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications.

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