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Reliability and precision are veryimportant in space, medical, and industrial robot control applications.Recently, researchers have tried to increase the reliability and precision ofthe robot control implementations. High precision calculation of inversekinematic, color based object recognition, and parallel robot control based onfield programmable gate arrays (FPGA) are combined in the proposed system. Theprecision of the inverse kinematic solution is improved using the coordinaterotation digital computer (CORDIC) algorithm based on double precision floatingpoint number format. Red, green, and blue (RGB) color space is converted to huesaturation value (HSV) color space, which is more convenient for recognizingthe object in different illuminations. Moreover, to realize a smooth operationof the robot arm, a parallel pulse width modulation (PWM) generator isdesigned. All applications are simulated, synthesized, and loaded in a singleFPGA chip, so that the reliability requirement is met. The proposed method wastested with different objects, and the results prove that the proposed inversekinematic calculations have high precision and the color based objectrecognition is quite successful in finding coordinates of the objects.