TY - BOOK ID - 700294 TI - Autonomous military robotics AU - Nath, Vishnu. AU - Levinson, Stephen E. PY - 2014 SN - 3319056069 3319056050 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Robotics KW - Military robots. KW - Military applications. KW - Robotic soldiers KW - Robots KW - Military engineering KW - Military robots KW - Military applications KW - Artificial intelligence. KW - Computer vision. KW - Computer science. KW - Artificial Intelligence. KW - Image Processing and Computer Vision. KW - User Interfaces and Human Computer Interaction. KW - Computer Imaging, Vision, Pattern Recognition and Graphics. KW - Informatics KW - Science KW - Machine vision KW - Vision, Computer KW - Artificial intelligence KW - Image processing KW - Pattern recognition systems KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Optical data processing. KW - User interfaces (Computer systems). KW - Interfaces, User (Computer systems) KW - Human-machine systems KW - Human-computer interaction KW - Optical computing KW - Visual data processing KW - Integrated optics KW - Photonics KW - Computers KW - Optical equipment UR - https://www.unicat.be/uniCat?func=search&query=sysid:700294 AB - 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. ER -