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The price of intelligent unmanned forklifts is affected by many factors,mainly depending on the technical configuration,load capacity and application scenarios.Technical configuration:Basic unmanned forklifts (such as laser navigation,2D obstacle avoidance) are relatively cheap and suitable for simple handling tasks.High-end models (equipped with 3D vision,AI autonomous decision-making or multi-machine collaborative systems) are significantly more expensive and suitable for complex dynamic environments.
Load capacity:Light-load models (<1 ton) are suitable for e-commerce and electronics industries and have relatively low costs.Heavy-load models (1-5 tons or higher) are used in the automotive and new energy fields and are more expensive due to structural strength and power requirements.Industry adaptability:Standard warehousing models are more economical.Special scenarios (such as explosion-proof,cold chain or clean room versions) will significantly increase costs due to customized requirements.
Additional features:Value-added features such as 5G networking,digital twin interfaces or intelligent scheduling systems will also affect the final price.The current market shows a trend of price stratification. Entry-level equipment mainly covers the needs of small and medium-sized enterprises,while high-end solutions serve areas with strict requirements on precision and reliability.