Keep your logistics in perfect motion

Quba, TGW’s mobile robotics: scalable, adaptable and reliable.

Mobile robots have already made their mark in the automotive industry, and now they are making a dent in other market segments as well. Fast-changing buyer behaviour and growing labour scarcity are leading to new areas of application.

TGW’s mobile robotics are the rapidly scalable and reliable answer to the requirements that tomorrow will bring. Autonomous mobile robots will enhance performance in the installation. They can be used flexibly, transport a variety of goods including pallets, cartons or totes, and react to their environment.

The comprehensive Quba portfolio’s variety of robot types (AMRs, AGVs, self-propelled forklifts), seamless integration into existing installations, and expertise in consulting, integration and service, all make for an integral door-to-door solution.

SCALABLE

FROM A SINGLE ROBOT TO A HARMONIOUS ENSEMBLE

•Mobile robotics to improve the intralogistics system

•Flexibility for future changes

•Easy and fast implementation

•Always scalable to match your current requirements and needs

ADAPTABLE

ANY TIME, ANY TASK AND ANY PROCESS

•Always ready for necessary process adaptations

•Efficient adaptation to tomorrow’s developments

•Flexible combination of processes

RELIABLE

PERFECTLY CHOREOGRAPHED PRODUCTS & SERVICES

•Strong partnership with established manufacturers

•Competence, integration and support by TGW

•Quintessential TGW quality

Automated Guided Vehicles & Autonomous Mobile Robots

AGVs are defined by line-bound navigation. This may rely on physical lines – consisting of magnetic strips or QR codes – or on virtual lines – through contour-based or camera-based navigation. With the help of machine vision, AGVs’ autonomy can now be expanded to allow them to leave their defined path in certain situations.

What sets AMRs apart is autonomous navigation. They use various sensor and camera technologies to achieve this. The devices’ autonomy allows them to safely avoid people and objects, based on a virtual map of their environment. Autonomous mobile robots can be used in dynamic, flexible environments in which they may have to react to unexpected situations.