Systems, devices, and methods for controlling a robot. Some methods include, in response to determining that an object enters a reachable area of the robot, triggering a first sensor to sense a movement of the object; determining first position information of the object based on data received from the first sensor; determining second position information of the object based on second data received from a second sensor; and generating a first prediction of a target position at which the object is operated by the robot. In this way, the robot can complete an operation for the object on the AGV within a limit operation time during which the AGV passes through the reachable area of the robot. Meanwhile, by collecting the sensing data from different sensor groups, a target position at which the object is handled by the robot may be predicted more accurately.

The present disclosure is directed to a pallet assembly, sorting robot and warehouse logistics system. The pallet assembly includes a flap assembly including a first flap and a second flap. The flap assembly has a first state in which the first flap and the second flap are coplanar so as to form a carrying surface for carrying goods, and a second state in which any one of the first flap and the second flap is turned over so as to make the goods slide off. A sorting robot including the pallet assembly and a warehouse logistics system including the sorting robot are also provided.

A method for propelling of a vehicle comprising a power train with an electric motor connected to a location in the vehicle intended for mounting of an energy supply unit intended for driving of the electric motor during normal operating conditions of the vehicle is described. The method comprises the steps of: connecting an electric power source to a power connection element mounted on the vehicle and being connected to the electric motor and to the location, disconnecting the location in order to accomplish a direct connection between the power connection element and the electric motor and propelling the vehicle by means of the electric motor powered by electricity from the electric power source. A method for manufacturing of a vehicle comprising a power train with an electric motor and a vehicle comprising a power train with an electric motor are also described herein.

There is provided a cart. An electric motor generates a travel driving force based on a control signal from an external control unit configured to perform control related a travel path of the cart. A battery supplies power to the electric motor. An engine drives a power generator which is configured to be capable of charging the battery. A determination unit determines whether the engine is to be operated, based on a predetermined condition.

Systems and methods for flexible conveyance in an assembly-line or manufacturing process are disclosed. A fleet of self-driving vehicles and a fleet-management system can be used to convey workpieces through a sequence of workstations at which operations are performed in order to produce a finished assembly. An assembly can be transported to a first workstation using a self-driving vehicle, where an operation is performed on the assembly. Subsequently, the assembly can be transported to a second workstation using the self-driving vehicle. The operation can be performed on the assembly while it is being conveyed by the self-driving vehicle.

A method for controlling an electric hand truck includes determining whether user manipulation is present due to a user input on the electric hand truck; and, if there is no user manipulation, then braking an electric motor that drives the wheels of the electric moving vehicle in a softlock manner in which, instead of power being applied to the electric motor, electrodes of the electric motor are short-circuited.

An object capturing device includes light emission, receiving, and scanning units, and distance calculation, and object determination units. The scanning unit measures light from the emission unit to head toward a measurement target space to perform scanning, and to guide reflected light from the object with respect to the measurement light to the receiving unit. The distance calculation unit calculates a distance to the object in association with a scanning angle of the scanning unit. The object determination unit determines whether the object is a capture target based on whether a scanning angle range within which a difference between distances is equal to or less than a predetermined threshold value corresponding to a reference scanning angle range of the capture target, and a determination of whether intensity distribution of the reflected light within the scanning angle range corresponds to reference intensity distribution of the reflected light from the capture target.

Apparatus and methods related to routing robots are provided. A roadmap of an environment that includes first and second robots can be received. The roadmap can be annotated with unidirectional lanes connecting conflict regions, where each lane ends so to avoid blocking a conflict region. First and second routes for the respective uses of the first and second robots can be determined, where both the first and second routes include a first lane connected to a first conflict region. A first, higher priority and a second, lower priority can be assigned to the respective first and second robots. It can be determined that the second robot following the second route will block the first robot on the first lane. Based on the first priority being higher than the second priority, the computing device can alter the second route to prevent the second robot from blocking the first robot.

Systems and methods for loading and delivering stalk subassemblies and yarn packages are disclosed herein. Such systems and methods can have at least one processor, at least one automated guided vehicle, at least one creel assembly, and an automated creel loading assembly. The at least one automated guided vehicle can be communicatively coupled to the at least one processor. The at least one processor can be configured to selectively direct an automated guided vehicle to engage a respective stalk subassembly. Upon engagement between the automated guided vehicle and the stalk subassembly, the processor can be configured to selectively direct the automated guided vehicle to move about and between the selected operative position within the creel assembly and a loading position proximate the automated creel loading assembly.

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.