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Research on flexible gripping and assembly system based on binocular vision and six-dimensional force sensors
- Categories:Technical knowledge
- Time of issue:2020-04-02 08:04
(Summary description)As the level of automation in industrial production increases, higher requirements are placed on system intelligence and flexibility.
Research on flexible gripping and assembly system based on binocular vision and six-dimensional force sensors
(Summary description)As the level of automation in industrial production increases, higher requirements are placed on system intelligence and flexibility.
- Categories:Technical knowledge
- Time of issue:2020-04-02 08:04
- Views:
As the level of automation in industrial production increases, higher requirements are placed on system intelligence and flexibility.
Industrial robots are widely used as actuators because of their ability to perform repetitive actions in a durable and stable manner. Conventional industrial robots are programmed to operate by means of a teach-and-train approach, which cannot automatically adjust the motion trajectory by sensing environmental changes and cannot fully utilize the multidimensional and flexible characteristics of industrial robots. In this paper, we combine an industrial robot with a video camera and a six-dimensional force sensor to study the use of binocular vision technology to guide the robot to grasp workpieces in any position in space, and force control technology to adjust the robot's posture in the assembly process, and build an experimental platform to realize the grasping of workpieces in space and the soft assembly of shaft holes.
The main research contents of the six-dimensional force sensor are as follows.
(1) The linear imaging model of the camera and the principle of binocular vision were studied, and the mathematical model of the correspondence between the camera coordinate system and the spatial points was established. Through the calibration of the camera and hand-eye calibration, the numerical correspondence between the spatial point and the camera, the camera and the robot is established, and the images captured by the binocular vision system are pre-processed and corrected to reduce the impact of system noise and equipment position error.
(2) The principle and method of stereo matching are studied, and the region-based stereo matching algorithm is used and optimized to obtain the matching points of the image pairs, and the three-dimensional reconstruction of the matching points is carried out according to the principle of three-dimensional reconstruction to obtain the three-dimensional information of the workpiece surface. According to the characteristics of the workpiece, the spatial pose of the workpiece is estimated, and the spatial pose of the workpiece relative to the camera is obtained.
(3) The six-dimensional force sensor communication system and gravity compensation system were designed and implemented to solve the problem of force sensor communication and the influence of gravity on the measurement data. The force analysis of the axial hole assembly process was carried out to obtain the force situation of each stage of the axial hole assembly.
(4) The control algorithm was studied, and the position-based impedance control algorithm was selected, and the impedance control error was analyzed and improved on this basis. The impedance control and adaptive impedance control are compared through simulation. Through the secondary development of the ABB robot, the robot position can be controlled in real time by the software.
(5) Build the experimental platform and conduct verification experiments. The feasibility of the system was verified by realizing the gripping of workpieces in space and the soft assembly of axial holes.
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