Abstract

Intelligent control has a great influence in improving the performance of robotic systems. Similarly robust control proves to enhance the precision and accuracy of positioning in robotic applications. This chapter describes some powerful intelligent and robust control methods for robots. The development of intelligent methods of path planning and obstacle avoidance is illustrated in detail. An efficient decision-making model for collective search behavior for a swarm of robots in a risky environment has also been demonstrated. In addition, an intelligent variable structure control for robot manipulator has also been shown. Finally, discussion and further directions are given.

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