TY - BOOK ID - 14306730 TI - Grasping in robotics PY - 2013 SN - 1447146638 1447146646 1283911329 144715794X PB - London ; New York : Springer, DB - UniCat KW - Manipulators (Mechanism). KW - Robot hands. KW - Robot wrists. KW - Robots -- Motion. KW - Manipulators (Mechanism) KW - Robot hands KW - Robots KW - Robot wrists KW - Engineering & Applied Sciences KW - Mechanical Engineering KW - Technology - General KW - Mechanical Engineering - General KW - Motion KW - Robotics. KW - Computer simulation. KW - Computer modeling KW - Computer models KW - Modeling, Computer KW - Models, Computer KW - Simulation, Computer KW - Artificial intelligence. KW - Robotics and Automation. KW - Artificial Intelligence (incl. Robotics). KW - Control. KW - Simulation and Modeling. KW - Electromechanical analogies KW - Mathematical models KW - Simulation methods KW - Model-integrated computing 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 - Fifth generation computers KW - Neural computers KW - Automation KW - Artificial Intelligence. KW - Control and Systems Theory. KW - Automation. KW - Control engineering. KW - Control engineering KW - Control equipment KW - Control theory KW - Engineering instruments KW - Programmable controllers KW - Automatic factories KW - Automatic production KW - Computer control KW - Engineering cybernetics KW - Factories KW - Industrial engineering KW - Mechanization KW - Assembly-line methods KW - Automatic control KW - Automatic machinery KW - CAD/CAM systems KW - Robotics UR - https://www.unicat.be/uniCat?func=search&query=sysid:14306730 AB - Grasping in Robotics contains original contributions in the field of grasping in robotics with a broad multidisciplinary approach. This gives the possibility of addressing all the major issues related to robotized grasping, including milestones in grasping through the centuries, mechanical design issues, control issues, modelling achievements and issues, formulations and software for simulation purposes, sensors and vision integration, applications in industrial field and non-conventional applications (including service robotics and agriculture).   The contributors to this book are experts in their own diverse and wide ranging fields. This multidisciplinary approach can help make Grasping in Robotics of interest to a very wide audience. In particular, it can be a useful reference book for researchers, students and users in the wide field of grasping in robotics from many different disciplines including mechanical design, hardware design, control design, user interfaces, modelling, simulation, sensors and humanoid robotics. It could even be adopted as a reference textbook in specific PhD courses.  . ER -