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In the field of intelligent manufacturing, composite robots have attracted much attention for their outstanding performance, and their price has also become a focus of attention for many enterprises.
The price of composite robots is not fixed and is influenced by various factors. Firstly, there is the functional configuration. Simple composite robots only have basic movement and operation functions, such as being able to transport lightweight items along preset routes. The price of such robots is usually between 30000 to 50000 yuan. And powerful composite robots not only have high-precision visual recognition systems that can accurately distinguish objects of different shapes, colors, and sizes, but also can autonomously plan paths in complex environments through advanced navigation technology (such as laser SLAM navigation), and have a large load capacity (up to tens of kilograms), which can be used for complex industrial assembly or logistics sorting. The price may be as high as 200000 to 300000 yuan or even higher.
Brand value also plays an important role in price. Internationally renowned brands have relatively high prices for their composite robots due to their long-term research and development investment, strict quality control, and comprehensive after-sales service system. For example, some international brands' products are generally 30% -50% more expensive than similar domestic robots. Some high-quality domestic brands, although more competitive in price, may have slight differences in the degree of implementation of high-end functions.
In addition, customized requirements can also affect prices. If a company has special requirements for composite robots, such as adapting to extreme working environments, interfacing with specific production equipment, etc., this requires additional research and development and debugging costs, which will further increase the price. In short, when considering the procurement of composite robots, enterprises need to conduct a comprehensive evaluation based on their actual application scenarios and budget.
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