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no.2 penglai road luoyang national university park 3-2-407 jianxi district, luoyang city, henan province
can control 12 axes of the pair of arms and hands with more than 6 dof axes, and the repetitive positioning accuracy is 0.02mm. dual-arm collaborative robot is a dual-arm collaborative robot with flexible multi-joint technology and movable binocular vision system. it has the characteristics of high flexibility, safety, autonomous obstacle avoidance and rapid configuration. this dual-arm robot has the design of human vision and tactile function, and can perfectly realize man-machine cooperation. flexible arms, wrapped in soft materials, and equipped with innovative force sensing technology, thus ensuring the safety of human colleagues.
zengkun dual-arm collaborative robot realizes real-time depth information and three-dimensional reconstruction based on bionic binocular vision system. fourteen integrated hollow servo drive units can integrate most of the interfaces required by users and provide users with a more free and open development environment. at the same time, integrated and flexible assembly solutions such as fast, safe, flexible, accurate and efficient screwing and positioning are realized.
collaborative robot patents
collaborative robot customers
collaborative robots, instead of repetitive or dangerous labor, can play a role in areas previously entirely occupied by workers. collaborative robots are designed with safety functions such as force feedback and collision detection,which allow them to work safely beside operators. the seven most common applications of collaborative robots are listed.
such robots can be equipped with identified parts or objects.
manual pickup and placement is one of the most repetitive tasks that are performed manually at present. the monotonous and boring tasks often lead to errors. repeated limb movements may also cause injury or injury. picking and placing applications is a good start for companies that first use collaborative robots. picking and placing refers to picking and placing workpieces in different locationss, including packing or sorting of pallets or conveyors, which often require advanced visual systems. the pickup and placement function usually requires an end-effector capable of grabbing objects, which can be a clamp or vacuum sucker actuator.
machine maintenance requires a worker to stand long in front of a cnc machine tool, injection moulding machine or other similar device and to look after the machine's operational needs, possibly changing tools or raw materials. this process is extremely long and boring for the operator. not only can collaborative robots liberate operators, but also a single collaborative robot can look after multiple machines, thus improving productivity. machine maintenance applications may require collaborative robots to have input and output (i/o) docking hardware for a specific machine that sends instructions to the robot for the next cycle or supplementary material.
packaging and palletizing
picking and placing functions include product packaging and palletizing. products before leaving the factory need to be prepared for transportation, including shrinkage packaging, box assembly and loading, box finishing or transportation on pallets. because of the repeatability and low load of these tasks, collaborative robots are ideal for completing these tasks. rapid product replacement is critical for any batch production enterprise with mixed high and low production volumes. in the application of collaborative robots, the conveyor belt tracking function is needed to synchronize the motion of the robot on the conveyor belt. for products with different shapes, the visual system may also be needed.
welding tasks specially designed end-effectors. collaborative robots with different tasks have different end-effectors, such as glue distributors for different processing tasks.
processing tasks refer to any task that requires tools to operate the workpiece. common examples are gluing, distribution or welding. each of these tasks requires a fixed path to be repeated with the corresponding tools. it takes a long time to train new employees to complete these processing tasks. if you use a collaborative robot, you can program first, and then copy the program to other robots. with collaborative robots, it is no longer necessary for workers to perform precise repetitive actions, but traditional welding robot systems require operators to have robot programming and professional welding knowledge.
the advantage of collaborative robot system is that it can be programmed by position and locations method or traditional cad/cam method, which can simplify the process of robot programming, and the collaborative robot can be programmed by anyone who has welding experience. multifocal interfaces help to maintain a constant tcp speed and also ensure that robots store materials at a constant speed. in these cases, end-effectors are unique because they need to hold the torch, sealant, glue or paste.
operators need to use hand tools and exert a lot of effort to complete finishing tasks. the vibration of tools may also lead to operator injuries. collaborative robots can provide the necessary strength and accuracy in finishing tasks. finishing tasks include polishing, grinding and deburring. operators can teach robots to perform these tasks manually or by computer programming. force-controlled collaborative robots are more durable, allowing robots to handle different sizes of components through end-effectors or force sensing within the robot.
the last task that can be accomplished by collaborative robots is to inspect the quality of parts. this process usually includes comprehensive inspection of finished parts, high resolution image of precision machined parts and parts verification based on cad model. installing multiple high resolution cameras on collaborative robots can realize process automation and faster inspection process. the inspection process can be digitized and compared with the computer generated model process. the use of collaborative robots for inspection can achieve higher quality detection and more accurate production batches. collaborative robots need to be equipped with end-effectors of high-resolution cameras, visual systems and software.