Stereo vision system adds the essential feature for robots to see the real world in a human-like manner by combining two 2D imaging systems. Robotic arm with end-effector helps robots to interact with real-world things by grabbing objects. Here in this research a 5 DOF human-like robot arm and a stereo vision set using two cameras mounted in parallel with 6cm distance was developed. Inverse kinematics is then calculated for the designed arm thus the robot can control the end-effector (gripper) position by adjusting motors angle. A software system was developed so the robot can perceive an objects 3d position using the stereo set and move the gripper through the help of kinematics.OpenCV blob detection technique was used to identify objects in an image. Summing up them the robot can now grip object seeing it in front of its stereo eye.
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