| Dimension | Autonomous Transfer Vehicles | AGVs (Automated Guided Vehicles) |
|---|---|---|
| Navigation & Path Planning | Rely on LiDAR, cameras, and SLAM technology to self-build environmental maps and dynamically plan paths. No need for fixed physical guidance (e.g., magnetic strips, rails). | Depend on fixed paths (magnetic strips, QR codes, laser reflectors, etc.). Path changes require redeploying physical facilities, and they cannot avoid obstacles autonomously (stop when blocked). |
| Flexibility | Extremely high. Can quickly adapt to production line layout changes, dynamically avoid obstacles, and support dynamic switching of multiple tasks. | Relatively low. Paths are fixed; scenario changes require modifying infrastructure. Only suitable for scenarios with stable processes. |
| Intelligence Level | Equipped with AI algorithms and edge computing capabilities, enabling autonomous decision-making (e.g., path optimization, multi-machine collaboration) and deep integration with systems like WMS and MES. | Operate based on programmed instructions, with no environmental perception or autonomous decision-making capabilities. Only execute tasks according to preset logic. |
| Deployment Cost & Cycle | Higher initial investment (due to sensors and algorithm support), but no physical infrastructure is needed. Short deployment cycle (achieved through software configuration). | Lower initial cost, but physical guidance facilities (e.g., magnetic strips, rails) need to be laid. Long deployment cycle and high modification cost. |
| Application Scenarios | Flexible manufacturing, e-commerce sorting, hospitals/airports, and other dynamic and complex environments. Suitable for scenarios with multiple product types, small batches, and frequent layout adjustments. | Automotive manufacturing, traditional warehousing, and other scenarios with fixed processes and high repeatability, such as point-to-point material transportation in production lines. |
| Load & Speed | Load capacity varies widely (from light to heavy loads), with medium to high speeds, and more efficient in dynamic scenarios. | Load capacity is diverse (some heavy-duty AGVs can carry dozens of tons), but speed is medium to low, more suitable for stable transportation on fixed paths. |
1. Hybrid deployment case in semiconductor factories
2. E-commerce promotion sorting case
During the “Double 11” period, a certain e-commerce sorting center temporarily added manual remote control vehicles to handle irregular packages (such as large furniture). These vehicles are remotely operated by sorters and quickly transported in the automated sorting area’s “flexible work belt”. They transport 20 vehicles per hour, which is 8 times more efficient than manual handling. They have processed a total of 300000 irregular packages, increasing overall sorting efficiency by 25% and reducing customer complaint rates by 40%.
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Battery handling vehicle
AGV