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AGV robots enhance manufacturing flexibility and help factories move towards intelligence

   Human labor has many shortcomings in modern manufacturing. For example, in some low-end jobs, the younger generation is not willing to do repetitive labor. In some gravity-type jobs, human physical strength is limited, and handling large objects will reduce the efficiency of the production line. From a safety perspective, many scenes in the manufacturing industry are full of harmful gases, sharp hard objects, and messy scenes, whichꦿ can easily cause harm to workers.

    In comparison, automation has a great advantage in the manufacturing industry. In some environments, robots can complete production tasks more 🐼smoothly than humans.

  &n⛦b🐲sp; AGV robots enhance manufacturing flexibility

    There are many applജication scenarios of industrial robots in the manufacturing industry, and mobile robots (AGV) that perform logistics handling tasks are used more and more frequently. In the past few years, manufacturers have installed more au♛tomated guided vehicles than ever before, and they are quickly responding to market changes through advanced automation solutions.

    In fact, in the past manufacturing industries, various traditional means of transportation were also used, but these equipment could not provide flexible services. Usually it needs to run on grooves, chains or fixed meta🐻l rails. This kind of equipment will be very noisy, easy to stain the production site, and expensive. Traditional transportation tools do not allow manufacturers to change their routes, and lack flexibility.

    Nowadays, a new generation of automated guided AGVs, that is, mobile robots, emerge in response to the trend. They can operate in complex production environments and can change their operations at will through induction, magnetic tape, and map navigation and positioning tech💎nologies. route. Usually, the manufacturer reprograms the AGV or plans a♚ route to meet the requirements of performing new tasks. In addition, these robots will be connected to the network to calculate and analyze the best path, so that the robot can complete the task in less time, and ultimately save the cost of operation.

 🦄♛;   Factory moves towards smart manufacturing mode

    Manufacturers can configure the numberꦉ of robots according to the number of production tasks. As long as this mobile robot is bought back, the parameters can be immediately put into use after configuration, and it can even be rented to solve the temporary increase in production demand , So that manufacturers will save more unnecessary money. However, traditional chain-based transportation tools require a lot of time to erect the track, and the equipment is not easy to dismantle after the equipment is put into use. This backward traditional product is inefficient and inflexible, a🍸nd will face the elimination of the market.

    With the emergence of intelligent manufacturing models, the factory in the future must be automated and intelligent, and this kind of mobile robot will be one of the key roles. Generally, mobile robots can interact with the manufacturing execution system to achieve functions such as error prevention and traceability. Mobile robots can be better integrated into the intelligent manufacturing system to realize the transportation of product parts in each production link and ensure th🔯at the entire production line is at the highest level. Efficient operation.

    Also, the continuous development of emerging technologies such as the Internet of Things and artificial intelligence has brought many benefiꦬts to mobile robots. Manufacturers are improving the recognition capabilities of mobile robots in industrial scenes thr▨ough vision and laser navigation. With the addition of artificial intelligence algorithms, robots can realize autonomous operation and have the ability to make independent decisions, so as to better cooperate with work. Even, we can use voice commands, face recognition and other technologies to easily call robots into production tasks to further improve the efficiency of equipment use.