Disclosed is a transporting robot which executes a mounted artificial intelligence (AI) algorithm and/or machine learning algorithm and communicates with different electronic devices and external servers in a 5G communication environment. The transporting robot includes a wheel driver, a loading box, and a robot controller. The transporting robot is provided such that a transporting service using an autonomous robot may be provided.

Apparatuses, systems, and techniques to place one or more objects in a location and orientation. In at least one embodiment, one or more circuits are to use one or more neural networks to cause one or more autonomous devices to place one or more objects in a location and orientation based, at least in part, on one or more images of the location and orientation.

A computer-implemented method includes detecting, at a processor and by a plurality of associates, a mission to be performed by the plurality of associates; identifying the mission based on associated store information comprising an inventory status, sales data, and a set of predetermined rules; generating, by the processor, a queue of tasks to complete the mission based on priorities and dependencies of the tasks; determining a task for each associate whose profile defines best abilities matching a predetermined task dataset and the associated store information; assigning the queue of tasks to the plurality of the associates to complete the tasks; receiving, from each of the associates, a notification of a completion of an assigned task; verifying, by the processor, the completion of the assigned task; and determining, by the processor, completion of the mission when each task for the mission is verified to be completed.

There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.

A computer-controlled robotic arm performs operations upon a workpiece, such as a knife with a blade that requires sharpening, by a set of one or more workstations, such as a grinder and a polisher. A position target having a defined surface profile is attached to the robot arm and scanned by a profilometer to determine a relative position of the arm with respect to a target centerpoint feature. The arm is then used to manipulate the centerpoint feature to locate operating features, such as a grinder's grinding surface, of the various workstations in the robot arm's coordinate system. A workpiece grasped by the robot arm is then scanned along with the target or another target to locate and profile the workpiece relative to the target. Based on the determined profile and positional relationships, the robot arm manipulates the workpieces so as to be operated upon by the workstations.

Systems, methods, and computer-readable media for robotic joining of components, parts, and structures are disclosed. A method in accordance with an aspect of the present disclosure comprises determining a target first position and a target second position in a reference frame, controlling robotic arms to move a first part to the target first position and a second part to the target second position, measuring the parts at the target first and second positions to obtain a measured first and second positions, performing a first operation to determine differences between the measured positions and the target positions, and when the differences exceeds desired tolerances, controlling the robotic arms to move the parts to compensate for the differences, and controlling at least the first or second robotic arm to join the first and second parts after the first and second operations are concluded.

An end effector adaptor device for a robotic arm may have a body adapted to be secured to a working end of a robotic arm at a proximal face, the body having a distal face configured for connection of an end effector thereto. A proximal connector is in the proximal face, the proximal connector configured to be connected to a complementary connector at the working end of the robotic arm for signal and power transmission between the robotic arm and the body. A distal connector is in the distal face, the distal connector configured to be connected to a complementary connector at the end effector connected to the distal face for signal transmission and/or power transmission between the body and the end effector. Circuitry is between the proximal connector and the distal connector.

Systems and methods for automated makeup application allow a user to select and apply desired makeup styles to the user's face. The systems and methods include a computer application with a graphical user interface which allows selection of a look from a plurality of preconfigured looks. A camera coupled with a robotic arm records a face map and color coding and sends that data to be stored on a virtual server database. The application calculates formula quantity and a pump extracts desired formula amounts from appropriate formula cartridges which it releases into reservoirs on the robotic arm's head. An airbrush compressor mixes the formula and plug triggers release one of several airbrush nozzles to start spraying the user's face with formula. A cleaning mechanism is provided between makeup applications and after the final application.

In a method for charging an electric device by a service rendering system, a controller of the service rendering system receives an image captured by an image sensor and processes the image to identify a label in the image as corresponding to the electric device. The controller obtains a service point location encoded in the label, where the service point location includes a location relative to a location of the label. The controller obtains service information included in the label, where the service request includes a charging service, and the charging service includes a description of an electric charging input of the electric device. The controller calculates a label position of the label using the image of the label and calculates a service point position using the service point location and the label position, where the service point position includes the electric charging input.

A feeder that feeds objects to be picked up by a robot, includes an object container unit having a first planar portion including a first planar surface in which the objects are thrown, and a groove portion including a plurality of grooves extending in a first direction from the first planar portion as seen from a normal direction in which a normal of the first planar surface extends, and a vibrator unit that applies vibration to the object container unit, wherein the vibrator unit has a first vibration mode in which the objects are moved in the first direction.