A controller calculates a correction amount of a position of a robot 1 at a movement point in a first movement path, and drives the robot 1 in a second movement path obtained by correcting the first movement path. The controller includes a second camera configured to detect a shape of a part after a robot apparatus performs a task, and a variable calculating unit configured to calculate, based on an output of the second camera, a quality variable representing quality of a workpiece. When the quality variable deviates from a predetermined determination range, a determination unit of the controller determines that the position or an orientation of the robot 1 needs to be modified based on a correlation between the correction amount of the position in the first movement path and the quality variable.

A method for carrying out a robot-assisted measurement of measurable objects. The paths of a sensor are defined and transmitted to a robot co-ordinate system. The actual paths of the sensor guided on the robot are recorded. A plurality of measurable objects is measured, the sensor being guided with the robot along the actual paths. A compensating device makes it possible to compensate internal and/or external influences produced on the robot. The compensation stage is carried out after a determined number of measurements.

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, that provide for training, implementing, or updated machine learning logic, such as an artificial neural network, to model a manufacturing process performed in a manufacturing robot environment. For example, the machine learning logic may be trained and implemented to learn from or make adjustments based on one or more operational characteristics associated with the manufacturing robot environment. As another example, the machine learning logic, such as a trained neural network, may be implemented in a semi-autonomous or autonomous manufacturing robot environment to model a manufacturing process and to generate a manufacturing result. As another example, the machine learning logic, such as the trained neural network, may be updated based on data that is captured and associated with a manufacturing result. Other aspects and features are also claimed and described.

A self-contained truck-mounted brick laying machine can include a frame that can support packs or pallets of bricks placed on a platform. A transfer robot can pick up and move the brick(s). A carousel can be coaxial with a tower. The carousel can transfer the brick(s) via the tower to an articulated and/or telescoping boom. The bricks can be moved along the boom by, e.g., linearly moving shuttles, to reach a brick laying and adhesive applying head. The brick laying and adhesive applying head can mount to an element of the stick, about an axis which is disposed horizontally. The poise of the brick laying and adhesive applying head about the axis can be adjusted and can be set in use so that the base of a clevis of the robotic arm mounts about a horizontal axis, and the tracker component is disposed uppermost on the brick laying and adhesive applying head. The brick laying and adhesive applying head can apply adhesive to the brick and can have a robot that lays the brick. Vision and laser scanning and tracking systems can be provided to allow the measurement of as-built slabs, bricks, the monitoring and adjustment of the process and the monitoring of safety zones. The first, or any course of bricks can have the bricks pre machined by the router module so that the top of the course is level once laid.

Provided is an autonomous moving body configured to move along a planned movement path to execute a given task, including: an external sensor configured to recognize another autonomous moving body given another task and an operation state of the another autonomous moving body; an overtaking determination unit configured to determine, when it is recognized by the external sensor that the another autonomous moving body moves along the movement path, whether to overtake the another autonomous moving body; and a movement control unit configured to control a moving unit based on the determination of the overtaking determination unit.

An apparatus for performing an industrial working operation on a workpiece comprises: an anthropomorphous robot comprising an end effector including a 2D laser scanner and a working tool; an RTOS computer; and a robot controller. The computer provides successive positional data along a scanning path to robot controller, and a synchronization signal directly to input port of the 2D laser scanner, thereby commanding successive scanning operations on the workpiece in synchronism with successive poses of the end effector, to acquire 3D shape information about the workpiece. The working tool is operated while the end effector is subsequently moved along a tooling path and/or is moved along a combined scanning and tooling path. An apparatus for acquiring a shape of an object arranged at a working area and methods are further disclosed.

A method of generating robot trajectories for a robot device includes generating surface parameters and/or measurements for the surface of the object; receiving one or more parameters to maximize or minimize robot objectives; receiving one or more motion parameters for the robot to perform the task on the surface of the object and/or receiving one or more workspace parameters; receiving a plurality of constraint parameters; and generating an initial parametric representation of a trajectory for the robot in performing the task. The method further includes generating an initial trajectory based on the initial parametric representation of the trajectory, one or more workspace parameters, the one or more motion parameters, and/or the one or more parameters to maximize or minimize robot objectives; selecting a first set of constraint parameters; and performing trajectory generation by applying the selected first set of constraint parameters to create one or more first robot trajectories.

Robotic control systems and methods may include providing an end effector tool of a robotic device configured to perform a task on a work surface within a worksite coordinate frame. Unintended movement over time of the end effector tool with respect to the work surface and with respect to the worksite coordinate frame may be determined based on image data indicative of the work surface, first location data indicative of a first location of the end effector tool with respect to the worksite coordinate frame, and second location data indicative of a second location of the end effector tool with respect to the work surface. One or more control signals for the robotic device may be adjusted in order to counteract the unintended movements of the end effector tool with respect to the work surface and worksite coordinate frame.

A robotic navigation system includes a handheld navigation unit associated with a frame of reference. The handheld navigation unit is moveable with respect to a plurality of axes and is configured to send movement signals based on movement of the handheld navigation unit. A controller is configured to receive the movement signals from the handheld navigation unit and determine control signals for the robot. The control signals are configured to incrementally move the robot with respect to a point of interest removed from the robot. The point of interest is removed from a fixed point on the robot as defined by assigned coordinates. The controller is further configured to reassign the assigned coordinates following each incremental movement of the robot.

A twin laser camera unitary assembly for a robot processing tool is disclosed. The assembly has a housing having a front wall defining an upright U-shaped channel into which a tubular portion of the tool is laterally insertable. A mounting support attaches the housing relative to the tool in operative position. Twin laser range finders are respectively mounted in the housing on opposite sides of the U-shaped channel in a symmetrical in-line arrangement with respect to the tool. A controller mounted in the housing is configured to receive robot control signals, operate laser projectors and process image signals produced by imagers of the laser range finders so that joint and bead position and geometry signals are produced in a robot reference frame. The assembly is designed and protected for use in industrial processes such as robotic laser and arc welding and sealant dispensing.