Review on design and development of intelligent robotic arm

Industrial automation requires wide numbers of machines for repeatedly done the same number of actions. The main difficulty to design such a system is complex programming & constant operating speed. So, it can be overcome by design & develop a robotic arm which works on real-time. An industrial robotic arm based on experience reply learning technique. Different techniques are developed previously based on neuro-fuzzy approach to record actions & convert them into devised motion codes and vice-versa. This type of robotic arm has wide variety of applications in industrial automation like open and close bottle neck, cleaning of specific surface or pick and place particular object. To achieve such intelligent robotic arm, algorithm can be developed via which the robot will record the actions when performed by the user during the `learning phase´ which is nothing but when the user is performing the action for the robot for the first time. The prototype of a vehicular arm can be used to demonstrate & developed a system to run robot according to the sequence of recorded motion codes. An additional filter can installed for adding effects.