Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advanced knowledge processing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context.

The collective and cooperation behaviour of living beings, such as flocks of bird, shoals of fish, herds of wildebeest has certain advantages, including avoiding predators, increasing the chance of finding food, saving energy. This book introduces how to build a robot flocking system with similar behaviour to biological flocking. You can learn how to control the robots to move like a group, cohesively avoid obstacles and cooperatively track a target. The flocking system is analysed with control theory and tested via realistic simulations and real robots experiments. You will see a group of wifibots using wifi-cameras to track a moving target and sixty UAVs flying like a swarm.