A method is for picking goods assigned to different orders using a picking system with an automated guided vehicle and a goods receiving device rotatably mounted thereon for receiving goods in order-specific goods sectors. The method includes providing the first good to be picked, assigned to a first order, at a first transfer position, picking up the first good at the first transfer position by an order picker, positioning the picking system near the order picker, and rotating the goods receiving device relative to the automated guided vehicle in such a way that a first goods sector of the goods receiving device assigned to the first order faces the order picker.

An automated valet parking or automated factory driving system, or for the remote control of vehicles in logistics, includes a sensor infrastructure that captures with pre-installed sensors an operating area, a central control unit that receives infrastructure sensor data and is in communication with an engine control unit (ECU) of one or more vehicles to be remotely controlled, and to receive vehicle sensor data from a connected vehicle, and to generate one or more paths for the remote control of the vehicles, and to remotely control the vehicles. Vehicle sensor data generated for objects with a size that is below a predetermined cutoff size is used, while, in particular, vehicle sensor data generated for objects with a size that is above the predetermined cutoff size is not taken into account when planning one or more paths.

A moving object operation management device for managing the operation of moving objects that move in a passage provided in an area and perform work at a specific place. When the work of a certain moving object hinders the movement of another moving object in a passage, the exclusive section and the exclusive section for one of the two moving objects are adjacent to each other, and when the movement of the shortest path to the next destination is hindered by the other exclusive section, the first operation instruction for moving one to the next exclusive section and after the exclusive section of the other section is released. And a second operation instruction to move the one moving object to the next destination by the shortest path, by comparing the arrival time to the one of the next destination in accordance with the instructions, configured to selectively emit.

Disclosed are a method for determining a stacking state, a controller, and material handling equipment. The technical solution includes: acquiring target data of a first stacking object and a second stacking object; extracting, from the target data, first target data of the first stacking object and second target data of the second stacking object; extracting a first boundary of the first stacking object based on the first target data, and extracting a second boundary of the second stacking object based on the second target data; and calculating a width of a first gap between the first stacking object and the second stacking object based on the first boundary and the second boundary, and comparing the width of the first gap with a first threshold to determine a first stacking state. The present disclosure may help improve efficiency and accuracy of a determining process of a stacking state.

A driving method of an automated guided vehicle including a guide sensor and moving along a path guide, includes first scanning the path guide, while rotating at a first set angle, determining whether the path guide is detected during the first scanning, and if the path guide is not detected in the first scanning, performing a second scanning of the path guide while rotating at a second set angle.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for overriding an original motion of a robot along a trajectory. The method includes initiating, by a real-time robotics control system, execution of an input trajectory for a robot at a default speed, wherein the input trajectory is a time-parameterized trajectory and specifies a path in an operating environment; before completing execution of the input trajectory, receiving a user input specifying a value of an online speed override factor; in response, generating a phase-parameterized version of the input trajectory using a phase variable; computing, on each real-time control cycle, a target velocity and a target acceleration of the phase-parameterized version of the input trajectory based on the online speed override factor; and causing the robot to transition to the target velocity and the target acceleration while traversing the path in the operating environment.

The present disclosure relates to a method, comprising: determining a state of an autonomous mobile device in response to a command received from a remote control apparatus; causing, in response to determining that the autonomous mobile device is in a first state, the autonomous mobile device to move toward a target to a first location; and causing the autonomous mobile device to move from the first location to a second location so as to release one or more mobile vehicles on the autonomous mobile device.

A mobile carrier includes a controller, the controller executing program instructions to implement operations including moving the mobile carrier to move toward a target, wherein a first mobile vehicle and a second mobile vehicle are stacked on the mobile carrier; lifting the second mobile vehicle away from the first mobile vehicle; and placing the second mobile vehicle down to a predetermined location after the first mobile vehicle moves away from the mobile carrier.

A robot fleet management platform includes datastores configured to store a governance library defining governance standards. Processors execute computer-readable instructions to implement a governance-enabling intelligence layer that receives and responds to intelligence requests received from intelligence service clients. The intelligence layer includes artificial intelligence services including machine learning, rules-based intelligence, digital twin, robot process automation, and machine vision. The set of governance standards is applied to decisions made by one or more of the set of artificial intelligence services. An intelligence layer controller coordinates performance of the artificial intelligence services on behalf of the intelligence service clients and performance of analyses corresponding to the artificial intelligence services based on the set of governance standards. The intelligence layer returns decisions determined by the artificial intelligence services in response to the intelligence requests. The decisions are determined based on intelligence service data sources and the set of analyses.

A moving object manufactured in a factory comprises: a driving controller that implements driving control over the moving object by unmanned driving during a course of manufacture of the moving object in the factory; a process completion detector that detects completion of a process by at least one step included in the course of manufacture; and a control content change unit that changes a content in control over the moving object when the completion of the process is detected.