Geometric Fundamentals Of Robotics 2e


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Geometric Fundamentals Of Robotics, 2E


Geometric Fundamentals Of Robotics, 2E

Author: Selig

language: en

Publisher:

Release Date: 2009-09-01


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Geometric Fundamentals of Robotics


Geometric Fundamentals of Robotics

Author: J.M. Selig

language: en

Publisher: Springer Science & Business Media

Release Date: 2007-12-13


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Geometric Fundamentals of Robotics provides an elegant introduction to the geometric concepts that are important to applications in robotics. This second edition is still unique in providing a deep understanding of the subject: rather than focusing on computational results in kinematics and robotics, it includes significant state-of-the-art material that reflects important advances in the field, connecting robotics back to mathematical fundamentals in group theory and geometry. Geometric Fundamentals of Robotics serves a wide audience of graduate students as well as researchers in a variety of areas, notably mechanical engineering, computer science, and applied mathematics. It is also an invaluable reference text.

Robotics, Vision and Control


Robotics, Vision and Control

Author: Peter Corke

language: en

Publisher: Springer Nature

Release Date: 2023-05-09


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This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a narrative that covers robotics and computer vision—separately, and together as robotic vision. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code. This edition is based on Python and is accompanied by fully open-source Python-based Toolboxes for robotics and machine vision. The new Toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems on a broad range of computing platforms. For the beginning student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on Toolbox functions, or modifying the Toolbox code itself.


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