Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing the determination of control policies for robots through the performance of simulations of robots and real-world context to determine control policy parameters.

A robotic electric arc welding system includes a welding torch, a welding robot configured to manipulate the welding torch during a welding operation, a robot controller operatively connected to the welding robot to control weaving movements of the welding torch along a weld seam and at a weave frequency and weave period, and a welding power supply operatively connected to the welding torch to control a welding waveform, and operatively connected to the robot controller for communication therewith. The welding power supply is configured to sample a plurality of weld parameters during a sampling period of the welding operation and form an analysis packet, and process the analysis packet to generate a weld quality score, wherein the welding power supply obtains the weave frequency or the weave period and automatically adjusts the sampling period for forming the analysis packet based on the weave frequency or the weave period.

A method, computer system, and a computer program product for track creation are provided. A computer receives a notification of at least one object to be moved. The at least one object is disposed at a first position. The computer receives a determination of a second position for the at least one object. The computer generates a track plan for a first track for transporting the at least one object from the first position to the second position. The computer transmits a first instruction message to a first robot. The instruction message instructs the first robot to build a track according to the track plan.

Aspects of the subject disclosure may include, for example, a method in which a processing system identifies a type of wearable physical augmentation (PA) equipment, determines that a task is to be performed using the PA equipment; and retrieves equipment data regarding the PA equipment and experience data regarding the task. The method also includes analyzing the task to generate a procedure for performing the task; providing the procedure to a user wearing the PA equipment; and transmitting commands to the PA equipment in accordance with the procedure. The method further includes monitoring performance of the task, based on information transmitted by sensors integral to the PA equipment; and modifying, in accordance with the monitoring, the procedure during the performance of the task. Other embodiments are disclosed.

A pallet building apparatus for automatically building a pallet load of pallet load article units onto a pallet support including a frame defining a pallet building base, at least one articulated robot to transport and place the pallet load article units, a controller to control articulated robot motion and effect therewith a pallet load build, at least one three-dimensional, time of flight, camera to generate three-dimensional imaging of the pallet support and pallet load build, wherein the controller registers, from the three-dimensional camera, real time three-dimensional imaging data embodying different corresponding three-dimensional images of the pallet support and pallet load build, to determine, in real time, from the corresponding real time three-dimensional imaging data, a pallet support variance or article unit variance and generate in real time an articulated robot motion signal, the articulated robot motion signal being generated real time so as to be performed real time by the at least one articulated robot between placement of at least one pallet load article unit and a serially consecutive pallet load article unit enabling substantially continuous building of the pallet load build.

A method for visualizing data generated by a robotic device is presented. The method includes displaying an intended path of the robotic device in an environment. The method also includes displaying a first area in the environment identified as drivable for the robotic device. The method further includes receiving an input to identify a second area in the environment as drivable and transmitting the second area to the robotic device.

Disclosed herein are an apparatus and method for generating robot interaction behavior. The method for generating robot interaction behavior includes generating co-speech gesture of a robot corresponding to utterance input of a user, generating a nonverbal behavior of the robot, that is a sequence of next joint positions of the robot, which are estimated from joint positions of the user and current joint positions of the robot based on a pre-trained neural network model for robot pose estimation, and generating a final behavior using at least one of the co-speech gesture and the nonverbal behavior.

The present invention features a computer-implemented method of planning a processing path relative to a three-dimensional workpiece for a plasma arc cutting system coupled to a robotic arm. The method includes receiving input data from a user comprising (i) Computer-Aided Design (CAD) data for specifying a desired part to be processed from the three-dimensional workpiece, and (ii) one or more desired parameters for operating the plasma arc cutting system. A plurality of features of the desired part to be formed on the three-dimensional workpiece are identified based on the CAD data. The method also includes dynamically filtering a library of cut charts based on the plurality of features and the desired operating parameters to determine a recommended cut chart for processing the plurality of features. The method further includes generating the processing path based on the recommended cut chart and the plurality of features to be formed.

A computer readable medium causing a computer to planning of a trajectory for an object that is capable of controlled movement in one or more degrees of freedom. At least one ordered sequence of movement profiles is obtained. The at least one ordered sequence includes: (i) movement profiles that end with a phase of increasing acceleration and (ii) movement profiles that end with a phase of decreasing acceleration. The ordered sequence is evaluated to select a movement profile capable of achieving a desired state of movement. The trajectory of the object is planned based on the selected movement profile.

In current applications of autonomous machines in industrial settings, the environment, in particular the devices and systems with which the machine interacts, is known such that the autonomous machine can operate in the particular environment successfully. Thus, current approaches to automating tasks within varying environments, for instance complex environments having uncertainties, lack capabilities and efficiencies. In an example aspect, a method for operating an autonomous machine within a physical environment includes detecting an object within the physical environment. The autonomous machine can determine and perform a principle of operation associated with a detected subcomponent of the object, so as to complete a task that requires that the autonomous machine interacts with the object. In some cases, the autonomous machine has not previously encountered the object.