A method includes: accessing a coating thickness range for workpiece coating; triggering an optical sensor to capture scan data representing the workpiece; triggering a depth sensor to capture a first depth value; assembling the scan data into a first virtual model representing the workpiece; defining first spray parameters corresponding to a minimum coating thickness; defining a first toolpath; driving a coating applicator along the first toolpath to spray the coating onto the workpiece; triggering the depth sensor to capture a second depth value; calculating a first coating thickness based on the first depth value and the second depth value; in response to the first coating thickness falling below the target minimum coating thickness defining a second set of spray parameters and a second toolpath; and driving the coating applicator along the second toolpath to spray the coating onto the workpiece according to the second set of spray parameters.

A robotic system is presented that includes a surface inspection system that receives sampling information for a number of areas within a region of a worksurface. The system also includes a robotic arm, coupled to a surface engaging tool, the robotic repair arm being configured to cause the surface processing tool to engage the region of the worksurface. The system also includes a process mapping system configured to, based on the sampling information: approximate a surface topography in the region of the worksurface, generate a surface processing plan for the region based on the approximated surface topography that includes a trajectory. The surface processing plan includes one of: a force profile along the trajectory, a velocity profile for the surface engaging tool along the trajectory, a rotational speed profile, for the surface engaging tool, along the trajectory, or a trajectory modification that accounts for the presence of a surface feature identified in the approximated surface topography. The process mapping system is also configured to generate a control signal for the robotic arm that includes the surface processing plan.

A method includes: accessing a coating thickness range for workpiece coating; triggering an optical sensor to capture scan data representing the workpiece; triggering a depth sensor to capture a first depth value; assembling the scan data into a first virtual model representing the workpiece; defining first spray parameters corresponding to a minimum coating thickness; defining a first toolpath; driving a coating applicator along the first toolpath to spray the coating onto the workpiece; triggering the depth sensor to capture a second depth value; calculating a first coating thickness based on the first depth value and the second depth value; in response to the first coating thickness falling below the target minimum coating thickness defining a second set of spray parameters and a second toolpath; and driving the coating applicator along the second toolpath to spray the coating onto the workpiece according to the second set of spray parameters.

An apparatus, method and computer-readable storage medium are provided for laser ablation of a structural part. The method includes accessing a digital model of the structural part, and tiling the digital model into tiles that correspond to respective regions of the structural part. The method includes determining discrete tool paths of a machine tool for respective ones of the tiles for laser ablation of the respective regions of the structural part. And the method includes generating instructions for the machine tool to perform the laser ablation of the structural part according to the discrete tool paths.

An autonomous mobile object includes: a moving mechanism; a power-receiving terminal that is supplied with power from a power-supply terminal; an imaging unit configured to image the power-supply terminal at a position separated from the power-supply terminal by more than a distance at which the power-receiving terminal is capable of being supplied with power from the power-supply terminal; a determination unit configured to determine whether to remove contamination of the power-supply terminal based on an analysis result obtained by analyzing the image captured by the imaging unit and information on misalignment between the power-supply terminal and the power-receiving terminal, the misalignment being predicted when the autonomous mobile object moves to a position at which the power-receiving terminal is capable of being supplied with power from the power-supply terminal; and a removal unit configured to remove the contamination when the determination unit determines to remove the contamination.

A mobile panel maintenance system including a mobile panel maintenance unit having a base supported for translational motion over a surface within a panel array and a carriage movably mounted to the base to position a panel maintenance assembly in relation to a panel surface for panel maintenance.

One variation of a method includes: accessing a maximum deflection distance of a workpiece; defining a first workpiece region characterized by a first compliance range; defining a second workpiece region characterized by a second compliance range greater than the first compliance range; assigning a nominal target force to the workpiece; navigating a sanding head across the first workpiece region during a processing cycle; driving the sanding head below a virtual unloaded surface of the workpiece stored in the virtual model to maintain forces, of the sanding head on the first workpiece region, approximating the nominal target force; calculating a maximum offset between the positions of the sanding head in the first workpiece region and the virtual unloaded surface; and, in response to the first maximum offset approaching the maximum deflection distance, assigning a lower target force to the second workpiece region of the workpiece.

A method includes: accessing a toolpath and processing parametersincluding a target force and feed rateassigned to a region of a workpiece; and accessing a wear model representing abrasive degradation of a sanding pad arranged on a sanding head. The method also includes, during a processing cycle: accessing force values output by a force sensor coupled to the sanding head; navigating the sanding head across the workpiece region according to the toolpath and, based on the force values deviating the sanding head from the toolpath to maintain forces of the sanding head on the workpiece region proximal the target force; accessing contact characteristics representing contact between the sanding pad and the workpiece; estimating abrasive degradation of the sanding pad based on the wear model and the sequence of contact characteristics; and modifying the set of processing parameters based on the abrasive degradation.

One variation of a method S100 for autonomously scanning and processing a part includes: collecting a set of images depicting a part positioned within a work zone adjacent a robotic system; assembling the set of images into a part model representing the part. The method includes segmenting areas of the part modeldelineated by local radii of curvature, edges, or color boundariesinto target zones for processing by the robotic system and exclusion zones avoided by the robotic system. The method includes: projecting a set of keypoints onto the target zone of part model defining positions, orientations, and target forces of a sanding head applied at locations on the part model; assembling the set of keypoints into a toolpath and projecting the toolpath onto the target zone of the part model; and transmitting the toolpath to a robotic system to execute the toolpath on the part within the work zone.

One variation of a method S100 for autonomously scanning and processing a part includes: collecting a set of images depicting a part positioned within a work zone adjacent a robotic system; assembling the set of images into a part model representing the part. The method includes segmenting areas of the part modeldelineated by local radii of curvature, edges, or color boundariesinto target zones for processing by the robotic system and exclusion zones avoided by the robotic system. The method includes: projecting a set of keypoints onto the target zone of part model defining positions, orientations, and target forces of a sanding head applied at locations on the part model; assembling the set of keypoints into a toolpath and projecting the toolpath onto the target zone of the part model; and transmitting the toolpath to a robotic system to execute the toolpath on the part within the work zone.