An equipment inspection system receives data captured by a sensor of an autonomous vehicle (AV). The captured data describes a current state of equipment for servicing the AV. The equipment inspection system compares the captured data to a model describing an expected state of the equipment. The equipment inspection system determines, based on the comparison, that the equipment differs from the expected state. The equipment inspection system may transmit data describing the current state of the equipment to an equipment manager. The equipment manager may schedule maintenance for the equipment based on the current state of the equipment.

A computer-implemented method of maintaining a transport system in a manufacturing facility including: measuring one or more pose-related properties of a plurality of transportation devices at a plurality of manufacturing stations in the manufacturing facility, at which manufacturing stations one or more workpieces are processed; determining a statistical characteristic for each of the plurality of transportation devices based on the pose-related properties; determining a sequence for maintaining one or more transportation devices based on the statistical characteristics; and optionally performing one or more maintenance procedures based on the sequence.

A system, in particular a manufacturing system, the system including machines, especially stationary and mobile machines, and at least one vehicle and a control, the vehicle having at least one sensor for ascertaining the relative position of a person, in particular a sensor for ascertaining the distance between the vehicle and the person, and for ascertaining the angle between the driving direction of the vehicle and the connecting line between the person and the vehicle, the vehicle having a position acquisition means for sensing the position of the vehicle, in particular a GPS system or a triangulation system for ascertaining the position of the vehicle, the control including a means for ascertaining the safety zone around the person and the machines situated therein, a data transmission channel being provided between the control and the machines.

Disclosed herein is an automated conveyance robot (ACR) for conveying movable platforms (MPs) in and out of trailers. A lift carriage at a first end of the ACR is configured to couple to the MP during movement and disengage after movement. A counterweight system at a second end of the ACR counterbalances the ACR during conveyance. The ACR comprises a front drive assembly and a rear drive assembly which are independently steerable to allow for different steering methods. The ACR can function fully automated or can be controlled

Provided is a management system for managing storage and retrieval of items. The management system includes a transfer robot that includes a drive mechanism and a sensor, the drive mechanism being configured to move a shelf along a transfer route to a region where any one of operations of carrying in an item, carrying out the item, and transferring the item between shelves is enabled to be performed, and place the shelf at a predetermined position, the sensor being configured to detect a position of the transfer robot in a space where the transfer robot is allowed to be moved, a device configured to perform at least either the operation or assistance in the operation, and a first controller configured to generate control data for controlling the device and output the control data to the device, the control data being generated on the basis of an error between a position of the shelf transferred by the transfer robot and a target position on the transfer route, the error being calculated by using the position of the transfer robot detected by the sensor.

An automation server accesses a task for a robotic device. The automation server generates motor control commands for the robotic device to complete the task. The automation server transmits, via a network and in a format defined by an Application Program Interface (API), the motor control commands from the automation server to a fleet manager associated with the robotic device, the motor control commands for forwarding from the fleet manager to the robotic device. The automation server receives, from one or more sensors attached to the robotic device and via the network, robotic device sensor data. The automation server receives, from multiple remote sensors and via the network, remote sensor data. The automation server adjusts the generated motor control commands to complete the task based on the robotic device sensor data and the remote sensor data.

A method for retrieving an inventory item based on a handling robot, where the handling robot includes: a storage frame; and a material handling device installed on the storage frame, and including a telescopic arm and a manipulator installed to the telescopic arm; and the method for retrieving an inventory item includes: driving, by the telescopic arm, the manipulator to extend to a preset position of warehouse shelf along a preset horizontal reference line; loading, by the manipulator that is remained on the reference line, the inventory item located in the preset position; driving, by the telescopic arm, the manipulator loaded with the inventory item to move to the storage frame along the reference line; and unloading, by the manipulator that is remained on the reference line, the inventory item to the storage frame.

Systems and methods for autonomous provision replenishment are disclosed. Parts used in a manufacturing process are stored in an intermediate stock queue. When the parts are consumed by the manufacturing process and the number of parts in the queue falls below a threshold, a provision-replenishment signal is generated. One or more self-driving material-transport vehicles, a fleet-management system, and a provision-notification device.

A method and computing system for transferring objects between a source repository and a destination repository is provided. The computing system is configured to operate by a combination of pre-planned and image base trajectories to improve speed and reliability of object transfer. The computing system is configured to capture image information of repositories and use the captured information to alter or adjust pre-planned trajectories to improve performance.

Systems and methods for reconfigurable, fixtureless manufacturing are provided. Material handling robots grasp and move parts within an assembly area to adjoin one another in a predetermined orientation. While the parts remain grasped and suspended within the assembly area, out of contact with any fixtures, work surfaces, jigs, and locators, a machine vision system performs an alignment scan to determine locations of datums on the parts which are transmitted to a controller for comparison against stored virtual datums for a subassembly comprising the joined parts. The location of the datums are transmitted to a joining robot which joins the parts to form the subassembly. The machine vision system performs an inspection scan of the datums on the parts after joining.