Methods and apparatuses are provided for use in monitoring product placement within a shopping facility. Some embodiments provide an apparatus configured to determine product placement conditions within a shopping facility, comprising: a transceiver configured to wirelessly receive communications; a product monitoring control circuit coupled with the transceiver; a memory coupled with the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: obtain a composite three-dimensional (3D) scan mapping corresponding to at least a select area of the shopping facility and based on a series of 3D scan data; evaluate the 3D scan mapping to identify multiple product depth distances; and identify, from the evaluation of the 3D scan mapping, when one or more of the multiple product depth distances is greater than a predefined depth distance threshold from the reference offset distance of the product support structure.

The present invention provides a storage system (1) comprising a storage grid structure (104) and multiple container handling vehicles (200,300), the storage grid structure comprises vertical column profiles (102) defining multiple storage columns (105), in which storage containers (106) can be stored one on top of another in vertical stacks (107), and at least one transfer column (119,120), the column profiles are interconnected at their upper ends by top rails (110,111) forming a horizontal top rail grid (108) upon which the container handling vehicles (200,300) may move in two perpendicular directions, the container handling vehicles are able to retrieve storage containers (106) from, and store storage containers in, the storage columns (105), and transport the storage containers on the storage grid structure, wherein the storage grid structure (104) comprises at least one horizontal transfer section (2); and the storage system comprises multiple container transfer vehicles (6) and a transfer floor (5) on which the container transfer vehicles (6) may move horizontally, and the transfer section (2) is arranged at a level below the top rail grid (108) and extends from an external side (12) of the storage grid structure (104) to a position below the at least one transfer column (119,120) and comprises at least a section of the transfer floor (5); and each of the container transfer vehicles comprises a container carrier (38) for carrying a storage container (106) and a wheel arrangement (32a,32b) for moving the container transfer vehicle (6) in at least two perpendicular directions on the transfer floor (5); and wherein the at least one transfer column (119,120) extends from the top rail grid (108) to the transfer section (2), such that a storage container (106) may be transferred between the top rail grid (108) and the container carrier of one of the container transfer vehicles (6).

An automatic driving system includes a control device that controls automatic driving of a vehicle, and a storage device that contains external environment information indicating an external environment of the vehicle. A driving transition zone is a zone in which a driver of the vehicle takes over at least a part of driving of the vehicle, from the control device. A termination target velocity is a target velocity of the vehicle at an end point of the driving transition zone. The control device variably sets the termination target velocity, depending on the external environment at the end point or the external environment surrounding the end point. Then, the control device controls the velocity of the vehicle in the driving transition zone, such that the velocity of the vehicle at the end point is the termination target velocity.

An eVtol aircraft manages different command inputs from various sources such as multiple inceptor types from the pilot (physical or digital), automatic command from autopilot or autonomous system, voice command, and/or remote piloting from an external source linked to the system. A Flight Control Command Source Management (FCCSM) can manage multiple dissimilar sources of commands for the Flight Control System automatically and based on pilot specified selections and/or a priority list.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle modular command priority determination and filtering system. One of the methods includes enabling control of the UAV by a first control source that provides modular commands to the UAV, each modular command being a command associated with performance of one or more actions by the UAV. Modular commands from a second control source requesting control of the UAV are received. The second control source is determined to be in control of the UAV based on priority information associated with each control source. Control of the UAV is enabled by the second control source, and modular commands are implemented.

The present disclosure is generally related to systems and methods for redundant communication in an aircraft. The system may include a primary connection, a secondary connection, and a tertiary connection. The system may include a computing device configured to receive at least a state datum and transmit the at least a state datum using at least a data connection of the plurality of data connections. The at least a network switch may be communicatively connected to the plurality of data connections and configured to select the at least a data connection from the plurality of data connections as a function of the at least a state datum.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle modular command priority determination and filtering system. One of the methods includes enabling control of the UAV by a first control source that provides modular commands to the UAV, each modular command being a command associated with performance of one or more actions by the UAV. Modular commands from a second control source requesting control of the UAV are received. The second control source is determined to be in control of the UAV based on priority information associated with each control source. Control of the UAV is enabled by the second control source, and modular commands are implemented.

A control device is configured to control movement of a mobile object that can travel by driverless driving and that is transported in a process of manufacturing the mobile object. The control device includes a control command section configured to generate and output a control command to cause the mobile object to move. The control command section is configured to generate the control command by using vehicle state information that is information related to at least one of: magnitude of impact force applied to the mobile object; a direction in which the impact force acts; weight of the mobile object; weight of a trailer configured to carry a part and configured to be removably coupled to the mobile object and move, the part being configured to be attached to the mobile object; and a process in which the mobile object is positioned.

A control device is configured to control movement of a mobile object that can travel by driverless driving and that is transported in a process of manufacturing the mobile object. The control device includes a control command section configured to generate and output a control command to cause the mobile object to move. The control command section is configured to generate the control command by using vehicle state information that is information related to at least one of: magnitude of impact force applied to the mobile object; a direction in which the impact force acts; weight of the mobile object; weight of a trailer configured to carry a part and configured to be removably coupled to the mobile object and move, the part being configured to be attached to the mobile object; and a process in which the mobile object is positioned.

The information processing device 1A mainly includes an acquisition unit 51A, a sampling unit 54A, an artificial force field calculation unit 55A, and an output unit 56A. The acquisition unit 51A is configured to acquire a task logical expression in which an objective task to be performed by a robot is expressed by a combination of a plurality of atomic tasks. The sampling unit 54A is configured to perform sampling of one potential function from among a plurality of potential functions each of which is synthesized atomic potential functions, the atomic potential functions each corresponding to each of the atomic tasks. The artificial force field calculation unit 55A is configured to calculate, on a basis of the sampled potential function, an approximate artificial force field which approximates an artificial force field yielded when the atomic potential functions are synthesized according to the task logical expression. The output unit 56A is configured to output the approximate artificial force field.