A method for automatically boxing ice cream type products allows, via an apparatus with simple mechanical configuration, a sequence of boxing steps to be performed, keeping constant the number of products boxed from one boxing sequence to another, in consideration of possible variations, from one boxing sequence to another, in the spatial distribution of absences of product on the transport system, operating between the apparatus for production of the products and the boxing unit, with the boxing unit being configured, for each boxing sequence, for picking up the products and transferring them into at least one box. The apparatus is configured to automatically perform the method.

A system for transferring articles, includes a plurality of gripping devices, configured to grip respective articles which pass along a first conveyor, wherein each gripping device is movable independently from the remaining gripping devices. A control unit is configured for controlling the gripping devices. A first detection sensor is configured to detect a first value indicating a position of an article on the first conveyor. The control unit is configured for receiving the first value; positioning a gripping device at the article, as a function of the first value; gripping the article with the gripping device; adjusting, as a function of the first value, a speed of the gripping device which grips the article, and releasing the article from the gripping device when the article reaches a release position.

A transfer device having a plurality of pick-up heads loads products into receptacles. The products are provided in a random arrangement in a pick-up area, and the position of each product is detected. To pick up the products, the transfer device is moved over the pick-up area and each pick-up head picks up an individual product at a pick-up time and in a pick-up position. The pick-up position and the pick-up time for the products are determined on the basis of the previously detected positions of the products. The placement of the products in a placement area may also occurs while the transfer device is moving relative to the receptacles.

A conveyor load tracking method, including associating a designated load with a designated load data record associated with a designated load location record encompassing a first segment of the conveyor and designated load expected travel distances after associated conveyor travel. An unknown load is detected entering a second segment with a sensor outside of the designated load expected travel distances, and a new data record associated with the unknown load is created. The new data record is associated with a new location record encompassing the second segment and encompassing new expected load travel distances of the unknown load after associated conveyor travel. The sensor detects that the designated load is not present at the at a first expected travel distance, and in response the designated load data record is disassociated from the designated load location record, and paired with the new data record and its new location record.

A robotic system is disclosed. The system includes a communication interface configured to receive, from one or more sensors deployed in a workspace, sensor data indicative of a current state of the workspace, the workspace comprising a pallet or other receptacle and a plurality of items stacked on or in the receptacle. The system includes one or more processors that use a geometric model based at least in part on past item placements in combination with the sensor data to estimate a state of the pallet or other receptacle and one or more items stacked on or in the pallet or other receptacle, and use the estimated state to generate or update a plan to control a robotic arm to place a next item on or in, or remove a next item from, the pallet or other receptacle in a manner that avoids having the next item collide with any other item stacked on or in the pallet or other receptacle.

A robotic system is disclosed. The system includes a communication interface that receives, from a sensor(s) deployed in a workspace, sensor data indicative of a current state of the workspace, the workspace comprising a pallet or other receptacle and a plurality of items stacked on or in the receptacle. The system includes one or more processors that control a robotic arm to place a first set of items on or in, or remove the first set of items from, the pallet or other receptacle, update a geometric model based on the first set of items placed on or in a receptacle, use the geometric model in combination with the sensor data to estimate a stack of one or more items on or in the receptacle, and use the estimated state to generate or update a plan to control the robotic arm to place a second set of items.

A robotic system is disclosed. The system includes a memory that stores for each of a plurality of items a set of attribute values. The system includes a processor(s) that uses the attribute values to simulate the placement of items, including by determining, iteratively, for each next item a placement location at which to place the item on a simulated stack of items on the pallet, using the attribute values and a geometric model of where items have been simulated to have been placed to estimate a state of the stack after each of a subset of simulated placements, and using the estimated state to inform a next placement decision. The steps of determining for each next item a placement location and estimating the state of the stack until all of at least a subset of the plurality of items have been simulated as having been placed on the stack.

A method for determining material-cage stacking, a computer device, and a storage medium are provided. The method includes the following. A material-cage image is obtained by photographing a first stacking apparatus of a first material cage and a second stacking apparatus of a second material cage. The stacking apparatuses of the two material cages in the material-cage image can be recognized respectively with two detection models. The first stacking result is obtained by obtaining location information of the stacking apparatuses of the two material cages with the first detection model, and the second stacking result is obtained with the second detection model.

A high-speed pressure based propulsion system for transporting resources is disclosed. The system comprising: a plurality of cars; an electronic track configured to carry said plurality of cars; an automatic guidance system configured to establish a route for said plurality of cars on said electronic track based on one or more pre-defined parameters; a plurality of electronically controlled stations configured to facilitate one or more task on said routed plurality of cars for transportation of resources. The disclosed system facilitates movement of food from one place to another by use of fast speed hyperloop technology and thereby tries to solves the issue of malnutrition in under developed nations.

Disclosed herein is a robotic product unscrambler apparatus which is capable of operating with ultra high efficiency and with minimum environmental impact. Efficiency and energy saving are achieved thanks to the possibility of processing products regardless of their preliminary orientation, so to remit sorting of the products to a subsequent unscrambling device of the product unscrambler. This results in the substantial absence of non-processed products due to preliminary orientation reasons, and accordingly very little—if at all—energy input to recirculate non processed products.