A method of generating a building assembly that includes spraying a coating material onto a plurality of pieces of substrate disposed on a first assembly face. The spraying includes spraying the coating material onto the plurality of pieces of substrate via a sprayer configured to apply the coating material to a target surface via a nozzle coupled with a mobile storage container storing the coating material, the coating material impregnating voids of the substrate. The method also includes allowing the coating material impregnating the voids to dry and harden and become rigid to generate the building assembly.

An intelligent yarn loading system and a control method are provided. The intelligent yarn loading system comprises a twisting machine, a self-walking trolley and a dispatching control system; the twisting machine is provided with a twisting machine wireless communication module for sending a working state of the twisting machine to the dispatching control system; the self-walking trolley is provided with a trolley wireless controller and a self-walking device for receiving an instruction of the dispatching control system and walking to a station of the twisting machine to take off an empty bobbin, and put a basic yarn on a creel of the twisting machine or take off a finished product package for stacking.

A multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects includes: a traveling section; a supporting section, disposed on the traveling section, and including a rotatable telescopic platform, where two mechanical arms working in parallel are disposed on the rotatable telescopic platform; an inspection section, mounted on the supporting section, and configured to perform multi-scale inspection on surface defects and internal defects in different depth ranges of a same position of a tunnel structure, and transmit inspected defect information to a control section; and the control section, configured to: construct a deep neural network-based defect diagnosis model; construct a data set by using historical surface defect and internal defect information, and train the deep neural network-based defect diagnosis model; and receive multi-scale inspection information in real time, and automatically recognize types, positions, contours, and dielectric attributes of the internal and surface defects.

The present disclosure provides a method and system by which a precise amount of a viscous fluid sealing compound can be dispensed at required locations through computer vision-based observation of the fluid deposited, its rate and amount of deposition and location; and that the dispensed fluid may be accurately shaped through robotic or other special purpose mechanism motion. The invention enables instant quality inspection of the dispensing process in terms of the locations, amounts and shapes of newly created seals.

A system for performing interactions within a physical environment including: a robot base that undergoes movement relative to the environment; a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon; a first tracking system that measures a robot base position; a second tracking system that measures movement of the robot base; and, a control system that uses a robot base position to at least partially control the robot arm to move the end effector along an end effector path, wherein the control system: determines the robot base position at least in part using signals from the first tracking system; and, in the event of failure of the first tracking system: determines a robot base position using signals from the second tracking system; and, controls the robot arm to move the end effector along the end effector path at a reduced end effector speed.

A method for the protection of a work area of a mobile logistics robot in changing work environments, the method including controlling the mobile logistics robot using a control system, scanning the current work environment using a sensor system, monitoring the current work environment using a safety system, in which the control system autonomously defines a planned safe work area in a new work environment, and the safety system autonomously verifies and monitors the defined work area as a clear protection zone, and in the event of a breach of the clear protection zone by the entry of an object into the clear protection zone, the mobile logistics robot is automatically placed in a safe status.

A control device according to an aspect of the present disclosure is a control device for a robot that operates in a facility used by a user, and includes a detection information acquisition unit that acquires detection information of the user who is present in a preset area of the facility, and a control unit that controls the robot such that the robot operates at a speed equal to or lower than a set maximum operation speed based on the detection information of the user.

A robot may include a manipulator arm including a plurality of links and one or more grippers configured to perform a gripper work. A camera may be positioned at an end of the manipulator arm to provide a direct line of sight to the grippers and observe the gripper work from above the grippers.

The present invention relates to a system, comprising: a transport device 100 comprising a transport vehicle 110 which can be moved freely on a base area and a handling device 150 provided on the transport vehicle 110, a carrier for goods in transport 200 which can be received by the handling device 150 and includes at least one first alignment element 220, and a receiving apparatus 300 for receiving the carrier for goods in transport 200 which can be set up on the base area or arranged on a machine set up on the base area, wherein the handling device 150 is configured to hold the carrier for goods in transport 200 in such a way that, when the carrier for goods in transport 200 is inserted and/or exchanged on the receiving apparatus 300 by the handling device 150, the carrier for goods in transport 200 is kept movable relative to the handling device 150, and the receiving apparatus 300 includes at least one second alignment element 320 which, when the carrier for goods in transport 200 is inserted and/or exchanged, is configured to interact with the at least one first alignment element 220 of the carrier for goods in transport 200 for aligning the carrier for goods in transport 200 with the receiving apparatus 300.

A computer-implemented method, when executed by data processing hardware of a robot having an articulated arm and a base, causes data processing hardware to perform operations. The operations include determining a first location of a workspace of the articulated arm associated with a current base configuration of the base of the robot. The operations also include receiving a task request defining a task for the robot to perform outside of the workspace of the articulated arm at the first location. The operations also include generating base parameters associated with the task request. The operations further include instructing, using the generated base parameters, the base of the robot to move from the current base configuration to an anticipatory base configuration.