03702nam a22005295i 4500 978-3-319-05606-7 DE-He213 20200704001145.0 cr nn 008mamaa 140411s2014 gw | s |||| 0|eng d 9783319056067 978-3-319-05606-7 10.1007/978-3-319-05606-7 doi Q334-342 UYQ bicssc COM004000 bisacsh UYQ thema 006.3 23 Nath, Vishnu. author. aut http://id.loc.gov/vocabulary/relators/aut Autonomous Military Robotics [electronic resource] / by Vishnu Nath, Stephen E. Levinson. 1st ed. 2014. Cham : Springer International Publishing : Imprint: Springer, 2014. VIII, 56 p. 18 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Computer Science, 2191-5768 Introduction -- Overview of Probability and Statistics -- Primer on Matrices and Determinants -- Robot Kinematics -- Computer Vision -- Machine Learning -- Bullet Kinematics -- Experimental Results -- Future Direction. 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. Artificial intelligence. Optical data processing. User interfaces (Computer systems). Artificial Intelligence. https://scigraph.springernature.com/ontologies/product-market-codes/I21000 Image Processing and Computer Vision. https://scigraph.springernature.com/ontologies/product-market-codes/I22021 User Interfaces and Human Computer Interaction. https://scigraph.springernature.com/ontologies/product-market-codes/I18067 Computer Imaging, Vision, Pattern Recognition and Graphics. https://scigraph.springernature.com/ontologies/product-market-codes/I22005 Levinson, Stephen E. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) Springer Nature eBook Printed edition: 9783319056074 Printed edition: 9783319056050 SpringerBriefs in Computer Science, 2191-5768 https://doi.org/10.1007/978-3-319-05606-7 ZDB-2-SCS ZDB-2-SXCS Computer Science (SpringerNature-11645) Computer Science (R0) (SpringerNature-43710)