Adaptive Navigation and Motion Planning for Autonomous Mobile Robots

Exploring autonomy in robotics is a meaningful task. The intuitive definition of autonomy is the capability of a robot to make a decision based on its own knowledge, acquired by its distributed sensors, without any human interference. Throughout this framework we discuss some algorithms and techniques underlying the subjects of adaptive navigation, motion planning and sensor integration for autonomous mobile robots. Mobile Robots will play an important role in many future applications, such as personal and service robots, handicapped aid, entertainment, space exploration, medical applications, nuclear industry, surveillance or autonomous transportation. It is the mobility that distinguishes a mobile platform from robot manipulators and gives the possibility to actively and adaptively interact with the environment and humans. In real world environments actual mobile robot platforms will need increased adaptability and autonomy with better techniques for navigation safety, map building, obstacle avoidance and path planning. This research work will first focus on sensor integration and adapted interaction that is considered one of the major basic concepts for mobile platforms.

Ashraf Aboshosha graduated with a B.Sc. from Menoufia University, Egypt at 1990. Since 1992 he is a researcher at EAEA. At 1997 he received his M.Sc. and from 1997 to 1998 he was guest researcher at ZEL/FZJ, Jülich, Germany. From 2000 to 2004 he was a doctoral student at Universität Tübingen. Dr. Aboshosha is the Editor in Chief of ICGST FZE, UAE.