The present application belongs to the technical field of smart appliances, and relates to a delivery control method, which comprises the steps of: transferring goods to a delivery device according to the number of personnel; and controlling the delivery device to move to a set target position. By adopting the method, the corresponding quantity of goods can be configured based on the number of personnel, and moved to the target position by the delivery device, so that the required quantity of goods can be distributed to the target position without requiring a user to give control instructions, thereby providing convenience for the user; meanwhile, the required quantity can be distributed at a time, thereby improving the distribution efficiency and improving the user experience. The present application further discloses a delivery control device and a delivery device.

An equipment regulation method is disclosed. The equipment regulation method includes: collecting first environmental data of current environment in a space; determining an environment scene state of the current environment in the space according to the first environmental data; and controlling one or more equipment in the space according to the environment scene state of the space. An equipment regulation device is further provided.

An electronic tool for copying a plurality of settings from a first mechanical tool to a second mechanical tool comprises: a smart device having a processor, and having a non-transitory memory storing program instructions executable on the processor. The program instructions are configured, when executed on the processor, to: read the plurality of settings from the first mechanical tool; and write the plurality of settings to the second mechanical tool.

A method and computing system comprising identifying a plurality of robot configurations for each inspection point of a plurality of inspection points of a problem. A graph may be generated with each feasible robot configuration as a node on the graph. A distance may be calculated between a pair of feasible robot configurations. A shortest complete path connecting each node on the graph may be obtained based upon, at least in part, the distance between the pair of feasible robot configurations.

A system for assembling a vehicle platform includes a robotic assembly system having at least two robotic arms, a vision system capturing images of an assembly frame, and a control system configured to control the robotic assembly system to assemble the vehicle platform based on images from the vision system, force feedback from the at least two robotic arms, and a component location model. The control system is further configured to identify assembly features of a first component and a second component of the vehicle platform from the images, operate the robotic arms to orient the first component and the second component to respective nominal positions based on the images and the component location model, and operate the robotic arms to assemble the first component to the second component based on the force feedback.

Provided are dynamic region division and region passage identification methods and a cleaning robot. The dynamic region division method includes: acquiring environment information collected by a robot when working in a first region; determining whether the robot has completed a work task in the first region, when a presence of a passage entering a second region is determined based on the environment information; and complementing a boundary at the passage to block the passage, when the work task is not completed. According to the technical solution provided by the embodiment of the present application, the occurrence probability of repeated sweeping and miss sweeping is reduced, and the cleaning efficiency is high. In addition, the technical solution provided by the embodiment of the present application relies on the environment information collected during the work, rather than relying on historical map data, so that the environmental adaptability is high.

The invention relates to a method and system for picking up and collecting plant matter, in particular plant embryos. To pick up the plant matter, a pick-up unit is used that is mounted to a robotic arm. According to the invention, two separate imaging steps are performed at two different positions of the pick-up unit. The first imaging step is performed to identify an isolated piece of plant matter. The second imaging step is performed when the pick-up unit is at a confirming position and enables a verification of whether a piece of plant matter has been picked up or not. The confirming position is in between the position of the pick-up unit for picking up plant matter and the position for depositing plant matter in suitable receptacles.

A method for configuring a master/slave board during initial booting of dual boards, and dual boards thereof are proposed. Each of the dual boards includes: a voltage input part to which an AC voltage is applied by initial booting; a voltage converter for converting the applied AC voltage into a DC voltage; a communication part for transmitting a DC voltage value corresponding to the converted DC voltage to a counterpart board and receiving a DC voltage value of the counterpart board from the counterpart board; and a controller for initializing the voltage converter when an initial boot signal and the AC voltage are applied from outside, converting the DC voltage converted by the voltage converter into the DC voltage value, and comparing the DC voltage values of each board transmitted and received through the communication part, so as to configure each board as a master or slave board.

A method uses telemetry data based on user habit information or user monitoring. User information is acquired from one or more sensors of a monitoring device. The user information is selected from of at least one of, a user's activities, behaviors and habit information. Signals are routed through ID circuitry at the user monitoring device. User information is communicated between the monitoring device and a telemetry system. A database of user ID's is accessed at the telemetry system. The telemetry system analyzes telemetry data based on at least one of, user's activities, behaviors and habit information, user condition, and user parameter, to create personalized information about the user. One or more contexts of a user activity are associated with an activity manager. The activity manager is a standalone device, included with the telemetry system or included with the monitoring device.

A robot includes a base, a first arm that rotates around a first rotation axis, a second arm that rotates around a second rotation axis extending in a direction different than the first rotation axis, a third arm that rotates around a third rotation axis extending in a direction parallel to the second rotation axis, a first inertia sensor at the first arm, a second (a) inertia sensor at the third arm, a first angle sensor at a first drive source, a third angle sensor at a third drive source, and the drive sources rotate the respective arms. Angular velocities from the first inertia sensor and the first angle sensor are fed back to a first drive source control unit. Angular velocities from the second (a) inertia sensor and the third angle sensor are fed back to a second drive source control unit.