The invention discloses a
robot intelligent
obstacle avoidance system and method based on stereoscopic vision. The
system comprises a binocular camera, an industrial
personal computer and an
actuator.The industrial
personal computer is connected with the binocular camera and the
actuator respectively. The method comprises the steps that the binocular camera acquires
video image information in theworking area of a
robot, and sends the
video image information to the industrial
personal computer; the industrial personal computer receives
video image information sent by the binocular camera, andcalculates the depth of each pixel according to the video image information and the internal and external parameters of the binocular camera to generate a depth image in the working area; the industrial personal computer further identifies an obstacle in the depth image according to
deep learning, carries out three-dimensional reconstruction on the obstacle according to the depth image, calculates the three-dimensional coordinates of the obstacle, compares the three-dimensional coordinates with the motion path of the
robot and detects whether the robot collides with the obstacle, adjusts themotion paths of the robot, generates corresponding motion path information, and transmits the motion path information to the
actuator; and the actuator receives the motion path information given out by the industrial personal computer, and adjusts the motion path of the robot.