Automated Guided Vehicle

New paradigm: Artificial intelligence navigates AGV

easy to use and powerful

AI-based control: The intelligent camera infrastructure together with the 3D model of the work area in W2MO allows the navigation with a millimeter accuracy as well as any combination of automatic driving and manual pushing.


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Intelligent fleet management: transparency in vehicle workload, detailed analyses of bottlenecks or overcapacities in the warehouse as well as automated speed adjustments or assignment of orders guarantee safe and efficient operations.

easy to use and powerful

Integration of optimization algorithms: The control computers access the W2MO optimization engine, so that complex algorithms can be used to calculate optimal routes and paths as well as the interaction of the AGVs.

easy to use and powerful

Modular construction: Flexible vehicle constructions from standardized picking carts to individual, customer-specific transporters.

easy to use and powerful

Predictive control and traffic regulation: The integrated monitoring of all routes enables timely warnings and avoids collisions even in confusing locations.

easy to use and powerful

Robustness against uneven grounds in a logistics environment: The use of rubber wheels and shock absorbers makes it easy to drive over thresholds.

AI-based Navigation

  • Cameras use artificial intelligence methods to detect all relevant objects and report their exact position
  • Control computers use the position information and the W2MO 3D model to calculate the paths of the AGV and send the control commands
  • People or other vehicles are detected and possible collisions are identified early and thus avoided, the legal safety equipment is additionally on board
  • Automatic driving and manual pushing can be combined as required, the AGV can also be tracked in manual mode.
  • The network load due to the AI-guided AGV is minimal

To control the AGV, cameras are installed near the ceiling of the hall. Together with the calibrated 3D model in W2MO, all objects in the warehouse can be detected and the exact positions calculated. It includes the controlled AGV as well as people, forklifts, pallets or other obstacles. As a result, all the information is available to calculate the AGV's paths and send the corresponding control signals to the vehicle. Navigation determines absolute positions, i.e. automatic driving, driving by the operator and manual pushing can be combined as required. The AGV can immediately continue driving automatically from any position. The vehicle can also be tracked during manual operation. The system can be designed as redundant as required, i.e. several registration units can monitor the same area. An integrated face pixelation system ensures the protection of personal privacy. There is no excessive load on the network, as only a small bandwidth of about 50 Kbit/s is required per vehicle.

Modular concept for flexible adjustments

    Option 1: Picking cart from standard components
  • Integrated in a flexible modular system
  • High-quality components such as Maxon drive and Sick safety sensor
  • Battery of your choice with different charging concepts
  • Easily adjustable profile frame
  • Pneumatic wheels for good driving characteristics even on rough surfaces
    Option 2: Customer-specific transporter
  • Flexible, customized development of all components
  • Possible integration of various additional components, such as lifting table, gripper arms, etc.
  • Example 1: Transport of goods between production locations with 900 kg payload and accuracy in the millimeter range
  • Example 2: Transport of pallets or mesh boxes on rolls with separate load securing
Production & Distribution Network

Depending on the requirements, different concepts are available for the design of the vehicle. On the one hand, this includes a picking cart that is assembled from high-quality, standardized components. Due to the transporters, which are equipped with pneumatic wheels, there are no special demands for the floor quality. The modularized concept gives the scope for the exact design of a vehicle. On the other hand, customized one-off productions with an adapted development of all components are also possible. There are practically no limits to the individual design.

Fleet Management

  • Detailed analyses of vehicle usage
  • Predictive identification of bottlenecks, taking into account temporary obstacles such as warehouse workers or pallets standing around
  • Simple to add more vehicles
  • Online tracking and visualization of the current vehicle position including order information in a 3D model
  • Defined maximum speeds in different zones or path sections
  • Optimized assignment of transport requests
  • Connection to the warehouse management system (e.g. SAP EWM)
Production & Distribution Network

The fleet manager is used to control and manage the AGV during operation. The transport orders are prioritized, assigned and monitored. New vehicles can easily be added. In the W2MO digital twin of the warehouse, routes can be supplemented or eliminated and speed profiles can be stored. In the 3D model all vehicles with their current positions are visible at any time. This enables the maximum possible transparency in addition to detailed evaluations of the use of the vehicles. In addition, the integrated load preview provides options for manual or automated intervention to avoid bottlenecks.

Integration of the simulation and optimization tools in W2MO

  • Optimized route planning based on the real-time information on obstacles and the load situation in the warehouse
  • Innovative algorithms for calculating an efficient combination of orders in a tour of the AGV
  • Use of combinatorial methods from mathematical optimization for the calculation of an optimal product placement for a load balancing in the warehouse
  • Case pack algorithms for efficient loading of the vehicle

Due to the automatic integration of W2MO, a multitude of optimization algorithms are available for the AGV. Not only the 3D model and the tracking functionalities for all transporters may be used, but also sophisticated mathematical methods for the calculation of the optimized tours and the load of the AGV. In addition, optimal product placement also makes an important contribution to the efficient operation with a guided vehicle system. (See "Intelligent Algorithms" for additional details)

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