Fuzzy Neural Network Techniques in Robotic Object Manipulation

摘要: Publisher Summary This chapter presents a robotic object manipulation method and an adaptive force control using fuzzy logic, neural network, network techniques. The technique provides effective adaptation ability to the controllers deal with uncertainty of both robot manipulators. An unknown can be precisely manipulated by learning main controller. sub-fuzzy-neural realize required for desired motion. two kinds input adjustment methods instant according property object: (IANN) is when materials used are limited, material not limited. also evaluation controllers.