An order processing system includes a plurality of robotic devices, a set of storage systems, an order consolidation system, and a control server. The control server receives a set of orders for an item, determines a cumulative order quantity of the item, and selects a subset of the set of orders to be opened up for consolidation at the order consolidation system. The control server identifies one the storage systems that stores the item as per the cumulative order quantity and assigns the storage system to an operator station for batch picking of the cumulative order quantity. The control server controls a first robotic device to transport the storage system to the operator station, and a second robotic device to collect from the operator station a first portion of the cumulative order quantity and transfer the first portion to a set of order bins associated with the subset of orders.

A cart robot analyzing a hand motion of a user is disclosed. The cart robot comprises a code input interface obtaining a product identification code, a sensor detecting a hand motion of a user, a weight measuring device measuring a weight of one or more products contained in a product loading space, and a controller. When there is no change in weight of the loaded products, the cart robot updates a shopping list with respect to the products loaded in the product loading space in real time by analyzing the hand motion of the user. Therefore, the convenience of the user is enhanced.

A communication apparatus includes a transmission apparatus configured to transmit operation data for an apparatus, a reception apparatus configured to receive the operation data, a wireless communication unit via which the transmission apparatus and the reception apparatus wirelessly communicate with each other, and a cable configured to connect the transmission apparatus and the reception apparatus, wherein the transmission apparatus transmits a synchronization signal to the reception apparatus via the cable, the synchronization signal indicating a timing to execute the operation data, and wherein the transmission apparatus transmits the operation data corresponding to an operation of the apparatus in a predetermined period to the reception apparatus using the wireless communication unit.

A system and method for adaptive diagnostics and data collection in a connected robot-cloud environment allows for the management and use of date from a robot or fleet of robots to ensure the efficient utilization thereof. The data is collected from the robots via a software agent and is transmitted to an interface that allows action from an end-user.

A switchgear or controlgear with unmanned operation and maintenance includes: an equipment safety system that includes a steering and control system for calculating a action radius of a robot system. An acting area in an internal space of the switchgear or controlgear is divided into virtual zones. Each action in each virtual zone is precalculated predictively as a micro simulation in which actual sensor data are considered before an intended action is triggered.

A method of evaluating safety of a robot includes a step of obtaining a three-dimensional image or three-dimensional model of a test robot comprising shape information of a real robot, a step of setting a movement time and movement path of the test robot by inputting profile information comprising movement time information and movement path information of the test robot, a step of calculating a collision pressure and collision force applied to a collision object in consideration of a shape, effective mass, movement speed, and direction of an injury-causing dangerous portion of the test robot, and a step of evaluating safety of the robot by determining whether magnitudes of the calculated collision pressure and collision force fall within magnitudes of a predetermined maximum collision pressure and predetermined maximum collision force.

Provided is a method for managing a modular robot, including at least one module, using a user terminal, the method including: acquiring mount information on the at least one module mounted to the modular robot; receiving module information on a module corresponding to the mount information; and displaying at least one of the mount information and the module information. Also, provided are a user terminal for performing the method for managing a modular robot may be provided, and a non-volatile computer readable recording medium in which a computer program for performing the method for managing a modular robot.

Various embodiments of the teachings herein include a method for controlling a robot with a tool carried along a path with preset positions and preset directions at a plurality of points. The method may include: at a plurality of points, controlling the robot according to a preset angle of each joint of a plurality of joints; obtaining an actual position and an actual direction of the tool at the points while the robot carries the tool along the path according to the preset angles; determining an actual movement parameter of the robot at a point based on the actual positions and the actual directions; determining an adjusted angle of each joint at each point based on the actual movement parameter so the positions and the directions are consistent with the preset positions and the preset directions at the plurality of points; and controlling the robot to move the tool along the path according to the adjusted angles.

A method for estimating a pose of an object includes: receiving, by a processor, an observed image depicting the object from a viewpoint; computing, by the processor, an instance segmentation map identifying a class of the object depicted in the observed image; loading, by the processor, a 3-D model corresponding to the class of the object; computing, by the processor, a rendered image of the 3-D model in accordance with an initial pose estimate of the object and the viewpoint of the observed image; computing, by the processor, a plurality of dense image-to-object correspondences between the observed image of the object and the 3-D model based on the observed image and the rendered image; and computing, by the processor, the pose of the object based on the dense image-to-object correspondences.

A method for controlling a robotic device. The method includes: obtaining an image, processing the image using a neural convolutional network, which generates an image in a feature space from the image, the image in the feature space, feeding the image in the feature space to a neural actor network, which generates an action parameter image, feeding the image in the feature space and the action parameter image to a neural critic network, which generates an assessment image, which defines for each pixel an assessment for the action defined by the set of action parameter values for that pixel, selecting, from multiple sets of action parameters of the action parameter image, that set of action parameter values having the highest assessment, and controlling the robot for carrying out an action according to the selected action parameter set.