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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.
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.
International Handbook of Virtual Learning Environments (Springer International Handbooks of Education) Автор: Steve Hoberman Год: 2006 |
Semantic Labeling of Places with Mobile Robots (Springer Tracts in Advanced Robotics) Автор: Oscar Martinez Mozos Год: 2010 |
Dynamics and Robust Control of Robot-environment Interaction (New Frontiers in Robotics) Автор: Vukobratovic Miomir, Surdilovic Dragoljub, Ekalo Yury Год: 2009 |
The Phases of Quantum Chromodynamics. From Confinement to Extreme Environments Автор: John B. Kogut Год: 2004 |
Chemical Dynamics in Extreme Environments Автор: Dressler R. (ed.) Год: 2001 |