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1. |
Record Nr. |
UNINA9910298566403321 |
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Autore |
Nath Vishnu |
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Titolo |
Autonomous military robotics / / Vishnu Nath, Stephen E. Levinson |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st edition 2014.] |
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Descrizione fisica |
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1 online resource (60 p.) |
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Collana |
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SpringerBriefs in Computer Science, , 2191-5768 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Robotics - Military applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Overview of Probability and Statistics -- Primer on Matrices and Determinants -- Robot Kinematics -- Computer Vision -- Machine Learning -- Bullet Kinematics -- Experimental Results -- Future Direction. |
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Sommario/riassunto |
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This SpringerBrief reveals the latest techniques in computer vision and machine learning on robots that are designed as accurate and efficient military snipers. Militaries around the world are investigating this technology to simplify the time, cost and safety measures necessary for training human snipers. These robots are developed by combining crucial aspects of computer science research areas including image processing, robotic kinematics and learning algorithms. The authors explain how a new humanoid robot, the iCub, uses high-speed cameras and computer vision algorithms to track the object that has been classified as a target. The robot adjusts its arm and the gun muzzle for maximum accuracy, due to a neural model that includes the parameters of its joint angles, the velocity of the bullet and the approximate distance of the target. A thorough literature review provides helpful context for the experiments. Of practical interest to military forces around the world, this brief is designed for professionals and researchers working in military robotics. It will also be useful for advanced level computer science students focused on computer vision, AI and machine learning issues. |
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2. |
Record Nr. |
UNINA9910702771903321 |
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Autore |
Stapley Desiré |
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Titolo |
Vegetarian nutrition resource list |
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Pubbl/distr/stampa |
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Beltsville, MD : , : Food and Nutrition Information Center, National Agricultural Library, , 2014 |
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Descrizione fisica |
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1 online resource (18 pages) |
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Soggetti |
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Vegetarians - Nutrition |
Vegetarians - Health and hygiene |
Vegetarianism |
Cooking (Vegetables) |
Bibliographies. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"[C]ompiled by: Desiré Stapley"--Page 17. |
[D]eveloped in part through a Cooperative Agreement with the Department of Nutrition and Food Science in the College of Agriculture and Natural Resources at the University of Maryland"--Page 17. |
"May 2014." |
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Nota di bibliografia |
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Includes bibliographical references. |
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