A corner beading device and methods of using and manufacturing the same are provided. The device has a single fixed body defining: a cavity for receiving flowable material, an inlet sized and shaped to correspond to the size and shape of the corner bead cross section, an outlet opposite to the inlet shaped to correspond to the corner bead cross section, and of larger vertical size than the inlet, and a guide comprising at least one of a channel and a protruding ridge. To use the device, a user inserts a corner bead into the inlet, along the guide, and out the outlet, whereby the upper edge of the outlet scrapes off all but a thin, substantially uniform layer of flowable material from the surface of the corner bead. A method of manufacturing the device comprises the step of injection molding the single fixed body of the device.

A system for finishing surfaces with a finishing material includes a handle assembly with proximal and distal ends. A material reservoir is mounted on the handle distal and includes an inlet and an outlet. A material applicator tool is mounted on the reservoir and receives material from the reservoir outlet. A discharge mechanism includes an extendable-retractable component or linear actuator connected to the reservoir for discharging or reloading material. An alternative embodiment includes a lockable, compressible gas spring. Another alternative embodiment includes a rotating element driven by a reversible motor mounted on the handle assembly. The rotating element drives a discharge mechanism in a discharge direction of rotation, and reloads the reservoir in a reload direction of rotation. Multiple alternative embodiments of linear actuators are disclosed. An alternative embodiment includes a push-to-open valve mechanism.

A method of making an identifiable gypsum-based building product, includes incorporating a suitable amount of an optically identifiable marker into the product to be sensed by a conventional detecting device; applying the product with the marker in a conventional manner in the course of building construction, creating a finished building product; and analyzing the finished building product and optically detecting the presence of the marker in real time onsite.

An automated painting system that includes a robotic arm and a painting end effector coupled at a distal end of the robotic arm, with the painting end effector configured to apply paint to a target surface. The painting system can also include a computing device executing a computational planner that: generates instructions for driving the painting end effector and robotic arm to perform at least one painting task that includes applying paint, via the painting the end effector, to a plurality of drywall pieces, the generating based at least in part on obtained target surface data; and drives the end effector and robotic arm to perform the at least one painting task.

An automated sanding system that includes a robotic arm and a sanding end effector coupled at the distal end of the robotic arm, with the sanding end effector configured to sand a target surface. The system can further include a computing device executing a computational planner that generates instructions for driving the sanding end effector and robotic arm to perform at least one sanding task that at least includes the sanding end effector sanding a target surface, the generating based at least in part on obtained target surface data; and drives the end effector and robotic arm to perform the at least one sanding task.

An automated drywalling system for applying joint compound or plaster to drywall pieces. The system includes a robotic arm and a mudding end effector coupled at a distal end of the robotic arm, the mudding end effector configured to apply joint compound or plaster to a target surface. The system can further include a computing device executing a computational planner that: generates instructions for driving the mudding end effector and robotic arm to perform at least one mudding task that includes applying joint compound or plaster, via the mudding the end effector, to one or more joints between a plurality of drywall pieces, the generating based at least in part on obtained target surface data; and drives the end effector and robotic arm to perform the at least one mudding task.

An automated insulation application system that includes a robotic arm and an insulation end effector coupled at a distal end of the robotic arm, the insulation end effector configured to apply insulation material to a target surface. The system can further include a computing device executing a computational planner that: generates instructions for driving the insulation end effector and robotic arm to perform at least one insulation application task that includes applying insulation material via the insulation end effector to a target surface, the generating based at least in part on obtained target surface data; and drives the end effector and robotic arm to perform the at least one insulation application task.

An automated drywalling system network that including one or more automated drywalling systems that each has a robotic arm. The automated drywalling system network can also include a computational planner that generates instructions for the one or more automated drywalling systems to perform two or more drywalling tasks associated with a target wall assembly. The two or more drywalling tasks can include a hanging task that includes hanging pieces of drywall on studs of the target wall assembly; a mudding task that includes applying joint compound to pieces of drywall hung on studs of the target wall assembly; a sanding task that includes sanding joint compound applied to the pieces of drywall hung on studs of the target wall assembly; and a painting task that includes painting sanded the joint compound applied to the pieces of drywall hung on studs of the target wall assembly.

An automated drywalling system for cutting and/or hanging drywall that includes one or more vision systems and a computing device executing a computational planner. The computational planner obtains target wall assembly data from the one or more vision systems, the target wall assembly data including information regarding a configuration of a target wall assembly including a plurality of studs that define a portion of the target wall assembly; and generates a plan for a configuration of a plurality of drywall pieces to be disposed on studs of the target wall assembly based on the target wall assembly data.

An automated drywalling system network that include one or more automated drywalling systems that each comprise a robotic arm. The automated drywalling system network can also include one or more drywalling end effectors configured to couple to a distal end of the robotic arms of the one or more automated drywalling systems. The drywalling end effectors can include a drywall hanging end effector; a drywall mudding end effector; a drywalling sanding end effector; and a drywall painting end effector.