Human-Robot　Interaction　(HRI)　plays　an　important　role　in　a　wide　range　of　applications　in　healthcare,　entertainment,　and　industries.　Many　ways　are　being　devised　to　improve　the　interaction　between　humans　and　machines　in　the　field　of　robotics.　For　instance,　the　existing　approaches　claim　precise　control　over　the　robotic　arm　using　many　different　controllers　like　the　joystick,　keypad　control,　or　electro-Myographic　(EMG)　sensors　attached　to　the　human　arm　as　separate　units.　However,　it　requires　a　non-practical　amount　of　calibration　time　and　high　operational　expertise.　Therefore,　our　goal　is　to　mimic　the　human　arm　movements　on　the　6-degree　of　freedom　(DOF)　robotic　arm　in　real-time,　providing　minimum　latency.　We　practically　show　the　interfacing　of　Myo　armband　with　robots　that　provide　tremendously　low　calibration　time　without　compromising　efficiency.　We　also　allow　a　6-DOF　using　EMG　and　inertial　measurement　unit　(IMU)　signals　for　Myo　armband　and　extract　the　values　of　EMG　and　IMU　sensors.　The　extracted　raw　EMG　and　IMU　values　are　calibrated　using　Arduino　as　a　standard　micro-controller.　Due　to　the　extraction　of　raw　values,　Myo　armband　can　also　be　integrated　with　other　users＇　peripheral,　which　in　our　case　is　a　6-DOF　robotic　arm.