HYBRID HISTOGRAM IN-MOTION MODEL FOR AUTONOMOUS MOBILE ROBOT NAVIGATION ( AN OBSTACLE AVOIDANCE PERSPECTIVE FOR ALL)

HYBRID HISTOGRAM IN-MOTION MODEL FOR AUTONOMOUS MOBILE ROBOT NAVIGATION ( AN OBSTACLE AVOIDANCE PERSPECTIVE FOR ALL)In robotic world, series of invention and innovation are at the highest peak of breaking even. In this book, hybrid histogram in motion model (HHIM) for autonomous mobile robot navigation (In search of obstacle avoidance perspective for all) was primarily developed by UCHENNA C. AKWARA to solve robot navigation problems for completely unknown environment particularly for a static wave concave shaped obstacle. The developed model is to address the

In robotic world, series of invention and innovation are at the highest peak of breaking even. In this book, hybrid histogram in-motion model (HHIM) for autonomous mobile robot navigation (In search of obstacle avoidance perspective for all) was primarily developed by UCHENNA C. AKWARA to solve robot navigation problems for completely unknown environment particularly for a static wave concave shaped obstacle. The developed model is to address the problem associated with a static wave concave shaped obstacle using (HHIM) model which cling to solve a Local minima trap problem and the single scan sensor readings on obstacle. Nevertheless, The (HHIM) model uses Histogram grid mapping scanning, Obstacle Avoidance technique and Local virtual target(LVT) concept for Local minima recovery and robot navigation. The Science, Engineering and Technology robotic fiction made the book to target 11 years of age and above.