Development Of Algorithm To Integrate With Robotic Arm Using Nerve Sensor

Zainal Abidin, Zulfikri (2016) Development Of Algorithm To Integrate With Robotic Arm Using Nerve Sensor. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Development Of Algorithm To Integrate With Robotic Arm Using Nerve Sensor.pdf - Submitted Version Download (516kB)

Abstract

The robotic arm structure and control algorithm are designed for a purpose, to pick and place an object task. It is controlled by an innovated gesture control system, Myo Gesture Control Armband controller. The arm structure of pick and place is controlled by Arduino as microcontroller to control the angles and displacements of the servo motor precisely. The detection of pose and orientation of the hands processed by develop control algorithm in Processing and sent to the Arduino. The equation for kinematic and inverse kinematic equations and calculations are programed into Microsoft Visual C# for the control algorithm. Lastly, the hardware and software combined all together. With developed control algorithm, the robotic arm were controlled by posed and hand movements which more user friendly interface especially when doing the picking and placing of an object. Since it designed for a pick and place uses, the accuracy and precision are crucial for robotic arms, it undergo several experiments and tests for investigate reliability performance of developed robotic arm.

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