Abstrato

Prediction and Correction Algorithm for a Gesture Controlled Robotic Arm

Pushkar Shukla, Shehjar Safaya, Utkarsh Sharma

One of the most popular technique to control robotic arm is by making it emulate the movements of the human arm. One of the advantages of the robotic arm is that it simplifies computational complexities. An arrangement of sensors attached to the human arm is used for tracking down hand movement. The arrangement consists of two accelerometers, a potentiometer and an IR receiver-transmitter pair. The Robotic Arm has Five degree of freedom where each joint is controlled by a servo motor that are capable of producing a movement of 180 degrees. In this paper we have proposed an algorithm based on correction and prediction for the purpose of swift synchronization of human hand and Robotic Arm. Successful implementation of the algorithm was achieved on the robotic arm.