Mobile robot uneven environment navigation with obstacles avoidance - Belaidi, Hadjira
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Uneven environments are often characterized by low visibility due to poor illumination conditions and weather phenomena including fog, rain, snow and hail, or presence of dust clouds and smoke. Thus, advanced autonomous mobile systems are primarily required for an off-road robot to sense and understand its environment, while ensuring, at the same time, robustness under compromised conditions. Therefore, this book addresses the problem of the design, implementation and realization of an autonomous mobile robot navigating in an uneven environment. Our proposed study would be useful for…mehr

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Produktbeschreibung
Uneven environments are often characterized by low visibility due to poor illumination conditions and weather phenomena including fog, rain, snow and hail, or presence of dust clouds and smoke. Thus, advanced autonomous mobile systems are primarily required for an off-road robot to sense and understand its environment, while ensuring, at the same time, robustness under compromised conditions. Therefore, this book addresses the problem of the design, implementation and realization of an autonomous mobile robot navigating in an uneven environment. Our proposed study would be useful for real-world robotic applications such as intelligent navigation for motorized wheelchairs, surveillance and security purposes, in Nuclear power plants where humans are prone to harmful radiations, for planetary exploration and every where the robot is expected to encounter rough terrain.
Autorenporträt
Dr. Hadjira Belaidi is an instructor at the Department of Electronic, Institute of Electrical and Electronics Engineering (IGEE), University M'hamed Bougara of Boumerdes (UMBB); where she has been since 2014. Her research interests cover robotics in general and mobile robot in particular.