In this paper, a mobile manipulation system for automatized logistic applications is presented. The robotic specifically designed depalletizing/palletizing tasks, namely product extraction from homogeneous pallets and assembly of new heterogeneous pallets. mainly composed by an autonomous vehicle, collaborative arm lifting device, which able to collect products different pallet layers. handling...

Visual recognition for object grasping is a well-known challenge for robot automation in industrial applications. A typical example is pallet recognition in industrial environment for pick-and-place automated process. The aim of vision and reasoning algorithms is to help robots in choosing the best pallets holes location. This work proposes an application-based approach, which ful l all require...

We consider the Distributer's Pallet Packing Problem. This problem is to pack a set of distinct products with given quantities in greater volumes (pallets, containers) and to minimize the number of used volumes. The theoretical objective of nding the best space utilization is restricted by a list of practical aspects (technological constraints, weight distribution over the pallet, stability asp...

• A pallets MAP system for tomato was developed using micro-perforated LDPE bags. Physico-chemical and sensory characteristics were evaluated over storage at 6 °C. Silica gel used which diminished water vapor condensation inside packaging delayed colour evolution, firmness loss, decay of throughout storage. The with extended the shelf-life until 21 days. modified atmosphere (MAP) in its effect ...

In the smart logistics industry, unmanned forklifts that intelligently identify pallets can improve work efficiency in warehousing and transportation are better than traditional manual driven by humans. Therefore, they play a critical role warehousing, semantics segmentation is an effective method to realize intelligent identification of pallets. However, most current recognition algorithms ine...