Abstract
A common and well-established technique for the transportation of goods in facility logistics is the use of Automated Guided Vehicles (AGVs). While the automated (static) loading of such transport systems is state-of-the-art, a fully automated solution for dynamically placing or unloading goods while the AGVs are moving and passing a gripper-equipped robot is still a challenge. This paper therefore proposes a new versatile and dynamic bin-picking approach for box-shaped goods using various computer vision technologies. A new method for real-time motion synchronization between a robot and an AGV will be presented, based on (1) coarse-grained AGV detection in 2D including a prediction of future positions and (2) fine-grained load detection in 3D.
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Böckenkamp, A., Weichert, F., Rudall, Y., Prasse, C. (2016). Automatic Robot-Based Unloading of Goods Out of Dynamic AGVs Within Logistic Environments. In: Clausen, U., Friedrich, H., Thaller, C., Geiger, C. (eds) Commercial Transport. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-21266-1_26
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DOI: https://doi.org/10.1007/978-3-319-21266-1_26
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