Described herein is a method of performing autonomous navigation by deploying one or more nodes over a predetermined space such that the one or more nodes is trained based on predetermined set of traffic rules; deploying one or more agents in the predetermined space; determining a destination for each of the one or more agents; determining a path to the destination; querying at least one of the nodes associated with at least one of corresponding regions encompass a current position of the corresponding one or more agents; determining, by at least one of the nodes, a direction of travel; sending the preferred direction of travel to the corresponding one or more agents; enabling the corresponding one or more agents to travel in the preferred direction; and determining the current position of the corresponding one or more agents is equal to the assigned destination or not.

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.

A computer system comprising processing circuitry is disclosed. The processing circuitry is configured to obtain sensing data from a sensor monitoring a cargo space of a vehicle; determine, based on the sensing data, that at least a portion of a cargo in the cargo space is moved a threshold distance of the cargo space during operation of the vehicle; determine at least one preventive action to be carried out by the vehicle to prevent further movement of the cargo with respect to the threshold distance, the at least one preventive action comprising a driving route; and control the vehicle to at least partially carry out the at least one preventive action.

A method for deactivating a remote automatic parking mode of a vehicle in a parking garage. The vehicle being equipped with a tire monitoring system, including wheel units mounted in each wheel of the vehicle and each being provided with an accelerometer measuring a radial component of an acceleration of the wheel and being dependent on a terrestrial gravitational field. The vehicle being provided with an automatic parking mode remotely controlled by portable equipment carried by a user. The method includes, if the conditions for activating the measurements of the wheel units are verified: each wheel unit measuring acceleration values over time; comparing said values with a threshold value, for each wheel unit; if the acceleration values of at least two wheel units exceed said threshold value, then: detecting any movement of said vehicle in a parking garage; and deactivating the remote automatic parking mode.

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 patrol robot including a plurality of magnetic sensors for detecting a magnetic marker laid on a traveling road has at least two or more magnetic sensors arrayed on a sensor array line linearly extending along any direction. In the patrol robot, two sensor array lines are formed, and since at least any one sensor array line can cross with respect to a relative moving direction of the magnetic marker with a movement of the patrol robot, the magnetic marker can be detected with high reliability, irrespective of the moving mode.

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.

A method of operating an autonomous vehicle in a supervised autonomous mode is disclosed. A supervised autonomous mode can include the steps of receiving a vehicle data from a vehicle, presenting vehicle data at a remote station, receiving a supervisor input from a supervisor input device at the remote station, converting the supervisor input into a nudge for the motion planner of the vehicle associated with the received first set of vehicle data, wherein the nudge at least includes information on how to modify one or more elements of the cost function of the motion planner and transmitting the nudge from the remote station to the motion planner such that the nudge at least temporarily updates a cost function based model of the motion planner based on the nudge.

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 control method for light sources of a vision machine and the vision machine. The control method includes the following steps: activating at least one first light source among n light sources to sense spatial information of an object in a field of view; and selectively activating the n light sources according to the spatial information of a sensed object; wherein the n light sources are distributed on a periphery of a front mirror surface of a lens of the vision machine, and n is a natural number greater than or equal to 2. The embodiment of the present disclosure enlarges the field of view of the vision machine, capable of providing corresponding light illumination based on environmental requirements, reducing the interference signal caused by reflection of a single light source, expanding the sensing range of the vision machine, and improving the sensing ability.