A flexible bionic arm control system based on visual feedback has been designed,and the designed flexible bionic arm is theoretically analysed by modelling it as an equivalent rigid body.Manual control of the flexible bionic arm is achieved using a manual joystick,with a camera mounted at the head end of the arm allowing identification of the target objects by a convolutional neural network object detection and recognition algorithm,and the position information obtained by it can be used for closed-loop control.Visual feedback enables the robot to locate and lock on to targets.Compared to the traditional rigid robotic arm,this study has the advantages of high safety and small size.At the same time,computer simulations and experiments verify the rationality and effectiveness of the design.
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