Tag: Collision

New Geometric Data Structures for Collision Detection and Haptics


Free Download New Geometric Data Structures for Collision Detection and Haptics by René Weller
English | 2013 | ISBN: 3319010190 | 240 Pages | PDF | 5.7 MB
Starting with novel algorithms for optimally updating bounding volume hierarchies of objects undergoing arbitrary deformations, the author presents a new data structure that allows, for the first time, the computation of the penetration volume.

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Earmarked for Collision A Highly Biased Tour of Collage Animation


Free Download Earmarked for Collision: A Highly Biased Tour of Collage Animation
English | 2024 | ISBN: 1032103124 | 144 Pages | EPUB | 0.4 MB
Collage art and film date back to the early 20th century (the earliest collages have roots in 12th-century Japan). It was rooted in the age of consumerism where artists addressed an array of political and social issues by creating a carefully crafted collision of pre-existing images and sounds to generate new meanings and commentaries on the surrounding world.

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Collision of Power Trump, Bezos, and the Washington Post [Audiobook]


Free Download Collision of Power: Trump, Bezos, and the Washington Post (Audiobook)
English | ASIN: B0BSP4J6P9 | 2023 | 16 hours and 32 minutes | M4B@64 kbps | 476 MB
Author: Martin Baron
Narrator: Liev Schreiber

A monumental work of nonfiction that gives a first-row seat to the epic power struggle between politics, money, media, and tech-for fans of Maggie Haberman’s Confidence Man and Jane Mayer’s Dark Money. Marty Baron took charge of The Washington Post newsroom in 2013, after nearly a dozen years leading The Boston Globe. Just seven months into his new job, Baron received explosive news: Jeff Bezos, the founder of Amazon, would buy the Post, marking a sudden end to control by the venerated family that had presided over the paper for 80 years. Just over two years later, Donald Trump won the presidency. Now, the capital’s newspaper, owned by one of the world’s richest men, was tasked with reporting on a president who had campaigned against the press as the "lowest form of humanity."

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Real-Time Collision Detection


Free Download Real-Time Collision Detection By Ericson, Ericson Christer
2004 | 632 Pages | ISBN: 0080474144 | PDF | 11 MB
Written by an expert in the game industry, Christer Ericson’s new book is a comprehensive guide to the components of efficient real-time collision detection systems. The book provides the tools and know-how needed to implement industrial-strength collision detection for the highly detailed dynamic environments of applications such as 3D games, virt

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Collision Detection for Robot Manipulators Methods and Algorithms


Free Download Collision Detection for Robot Manipulators: Methods and Algorithms
English | 2023 | ISBN: 3031301943 | 210 Pages | PDF EPUB (True) | 17 MB
This book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical learning methods, the book covers fundamental aspects of the collision detection problem, from collision types and collision detection performance criteria to model-free versus model-based methods, and the more recent data-driven learning-based approaches to collision detection. Special effort has been given to describing and evaluating existing methods with a unified set of notation, systematically categorizing these methods according to a basic set of criteria, and summarizing the advantages and disadvantages of each method. This book is the first to comprehensively organize the growing body of learning-based collision detection methods, ranging from basic supervised learning methods to more advanced approaches based on unsupervised learning and transfer learning techniques. Step-by-step implementation details and pseudocode descriptions are provided for key algorithms. Collision detection performance is measured with respect to both conventional criteria such as detection delay and the number of false alarms, as well as criteria that measure generalization capability for learning-based methods. Whether it be for research or commercial applications, in settings ranging from industrial factories to physical human-robot interaction experiments, this book can help the reader choose and successfully implement the most appropriate detection method that suits their robot system and application.

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