The present disclosure provides a method for controlling a robotic welding system to weld pipe sections wherein the pipe sections are held in fixed relation to each other by a plurality of stitches at a seam between the pipe sections. The method comprises rotating the pipe sections so a camera may determine the seam position, moving a torch arm and welding torch so that the torch is over one of the plurality of stitches, adjusting welding parameters and determining stitch start when welding torch is over a stitch and further adjusting welding parameters and determining stitch end when welding torch moves past one of the plurality of stitches.

An automated welding system for sealing high level radioactive waste containers in the field at the nuclear plant site. The system includes a programmable portable robotic welder comprising a multi-jointed articulating robotic arm. A welding head operable to form a weld is mounted to the arm. Operation of the robotic welder and ancillary components is controlled by a programmable controller which implements a welding plan. In one embodiment, a circumferentially-extending lid-to-shell hermetic seal weld may be formed by the robotic welder. The weld is completed in multiple welding passes through the weld joint between the lid and shell guided by an automated joint tracking sensor linked to the controller. The highly portable robotic welder is detachably mountable on the lid to perform the welding. An automated pivotable cable-conduit management apparatus keeps electrically conductive wiring and flow tubing out of the path of the rotating robotic arm during welding.

The disclosure relates to method and system for identifying a weldment feature. The method may include extracting a plurality of wire bodies from a sheet-metal model, and identifying from the plurality of wire bodies, a set of wire bodies associated with a face of the sheet-metal model. The method may further include generating one or more potential weldment features from the set of wire-bodies. Each of the one or more potential weldment features may be analyzed with respect to the face of the sheet-metal model. The method may further include identifying from the one or more potential weldment features, at least one related pair of weldment features. Weldment features of each related pair may include one of a contacting relationship and crossing relationship with each other.

Systems and methods for implementing weaving in additive manufacturing are described. The weaving can be controlled by a localized system to achieve fine movement accuracy. The system can include a motor to move the print head in a multi axes motion. The system can improve print consistency and quality.

An automated welding system includes a camera for capturing a camera image of a molten pool and an arc generated in a groove by arc welding; an estimation unit for outputting a probability distribution image based on a camera image by using a learned model; an extraction unit for extracting a region having at least a predetermined probability from the probability distribution image; a selection unit for selecting a representative point corresponding to a feature point of an arc and a representative point corresponding to a feature point of a molten pool, in the region having at least the predetermined probability; and a correction unit for correcting a control parameter of a welding robot based on a positional relationship of the representative point corresponding to the feature point of the arc and the representative point corresponding to the feature point of the molten pool.