TY - BOOK ID - 5452745 TI - Mobile robots : the evolutionary approach AU - Nedjah, Nadia AU - Coelho, Leandro dos Santos AU - Macedo Mourelle, Luiza de PY - 2007 SN - 9783540497196 3540497196 9786610853038 1280853034 354049720X PB - Berlin, Heidelberg : Springer, DB - UniCat KW - Mobile robots KW - Autonomous robots KW - Evolutionary programming (Computer science) KW - Artificial intelligence. KW - Programmation évolutive KW - Intelligence artificielle KW - Programming. KW - Autonomous robots -- Programming. KW - Electronic books. -- local. KW - Evolutionary programming (Computer science). KW - Mobile robots -- Programming. KW - Mechanical Engineering KW - Civil & Environmental Engineering KW - Engineering & Applied Sciences KW - Applied Mathematics KW - Civil Engineering KW - Mechanical Engineering - General 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 - Autonomous robotic systems KW - Engineering. KW - Applied mathematics. KW - Engineering mathematics. KW - Appl.Mathematics/Computational Methods of Engineering. KW - Artificial Intelligence (incl. Robotics). 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 - Engineering KW - Engineering analysis KW - Mathematical analysis KW - Construction KW - Industrial arts KW - Technology KW - Mathematics KW - Computer programming KW - Robots KW - Mathematical and Computational Engineering. KW - Artificial Intelligence. UR - https://www.unicat.be/uniCat?func=search&query=sysid:5452745 AB - The design and control of autonomous intelligent mobile robotic systems operating in unstructured changing environments includes many objective difficulties. There are several studies about the ways in which, robots exhibiting some degree of autonomy, adapt themselves to fit in their environments. The application and use of bio-inspired and intelligent techniques such as reinforcement learning, artificial neural networks, evolutionary computation and so forth in the design and improvement of robot designs is an emergent research topic. Researchers have obtained robots that display an amazing slew of behaviours and perform a multitude of tasks. These include perception of environment, planning and navigation in rough terrain, pushing boxes, negotiating an obstacle course, etc. In this context, mobile robots designed using evolutionary computation approaches, usually known as Mobile Evolutionary Robotics, have experienced significant development in the last decade. The fundamental goal of mobile evolutionary robotics is to apply evolutionary computation methods to automate the production of complex behavioural robotic controllers. This volume offers a wide spectrum of sample works developed in leading research throughout the world about evolutionary mobile robotics and demonstrates the success of the technique in evolving efficient and capable mobile robots. ER -