000 03323nam a22005535i 4500
001 978-3-319-05606-7
003 DE-He213
005 20200421111659.0
007 cr nn 008mamaa
008 140411s2014 gw | s |||| 0|eng d
020 _a9783319056067
_9978-3-319-05606-7
024 7 _a10.1007/978-3-319-05606-7
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aNath, Vishnu.
_eauthor.
245 1 0 _aAutonomous Military Robotics
_h[electronic resource] /
_cby Vishnu Nath, Stephen E. Levinson.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aVIII, 56 p. 18 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aIntroduction -- Overview of Probability and Statistics -- Primer on Matrices and Determinants -- Robot Kinematics -- Computer Vision -- Machine Learning -- Bullet Kinematics -- Experimental Results -- Future Direction.
520 _aThis 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.
650 0 _aComputer science.
650 0 _aUser interfaces (Computer systems).
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aImage processing.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
700 1 _aLevinson, Stephen E.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319056050
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-05606-7
912 _aZDB-2-SCS
942 _cEBK
999 _c54867
_d54867