With the rapid development of science and technology, the robotics industry has achieved remarkable results in many fields. Especially in the logistics industry, the application of robotics is becoming more and more mature, providing strong support for improving logistics efficiency and reducing costs. In this paper, we will discuss Multi Picking Techniques (Multi Picking Techniques) in the robotics industry and share some dry goods in order to provide reference for the transformation and upgrading of the logistics industry.
Multi Picking Techniques refers to the combination of multiple picking methods under the same operation scenario to realize efficient, accurate and fast goods picking. In the logistics industry, multi-picking technologies mainly include the following:
1. Automatic identification technology: Using cameras, two-dimensional codes, RFID and other means to realize automatic identification and positioning of goods.
2. Robot handling technology: By means of handling robots, the goods are carried from the storage area to the picking area.
3. Artificial Intelligence Scheduling Technology: Based on big data and artificial intelligence algorithms, intelligent scheduling of picking tasks is realized.
4. Robot Cooperative Operation Technology: Multiple robots work together to complete the picking task and improve operation efficiency.
Application of multi-picking technology in robotics industry
1. Automated warehouse
Automated warehouses are the typical scenarios for the application of multi-picking technology in robotics industry. By adopting automatic identification technology, accurate positioning of goods is realized; handling robots carry goods to the designated position according to system instructions; artificial intelligence scheduling technology ensures reasonable distribution of picking tasks; and collaborative operation technology improves picking efficiency.
2. Intelligent logistics and distribution centers
In intelligent logistics and distribution centers, multi-picking technologies play an important role. For example, after receiving an order, the driverless distribution vehicle finds the location of the goods through automatic identification technology, and the handling robot takes out the goods and places them on the distribution vehicle, and finally the driverless distribution vehicle delivers the goods to the destination.
3. Manufacturing Production Line
In the manufacturing production line, multi-picking technology is applied to the picking of raw materials and finished products. Rapid positioning of raw materials is realized through automatic identification technology; handling robots carry raw materials to the production line according to production needs; and cooperative operation technology ensures smooth operation of the production line.
Benefits brought by multi-picking technology
1. Improvement of picking efficiency: Multi-picking technology realizes fast and accurate picking of goods, which greatly improves operation efficiency.
2. Reducing labor cost: The adoption of multi-picking technology can reduce the involvement of labor and lower labor cost.
3. Reducing the error rate: automatic identification technology and artificial intelligence scheduling technology reduces the picking error rate and improves service quality.
4. Optimize the operation process: Multiple picking technology helps enterprises optimize the operation process and improve the management level.
Development Prospects and Challenges
1. Development Prospects: With the continuous progress of artificial intelligence, big data and other technologies, multi-picking technology will be more widely used in the robotics industry, helping the logistics industry to achieve intelligence and efficiency.
2. Challenges: The research and development and application of multi-picking technology requires a large amount of investment in capital and talent, and enterprises are facing greater cost pressure. In addition, there are certain challenges in terms of technology maturity and industry standards.
In short, the application of multi-picking technology in the robotics industry has a wide range of prospects. Enterprises should seize the opportunity to increase R&D efforts to promote the logistics industry to a higher level. At the same time, the government and the community should also give attention and support to create a favorable environment for the development of multi-picking technology.