A method of generating a building assembly that includes spraying a coating material onto a plurality of pieces of substrate disposed on a first assembly face. The spraying includes spraying the coating material onto the plurality of pieces of substrate via a sprayer configured to apply the coating material to a target surface via a nozzle coupled with a mobile storage container storing the coating material, the coating material impregnating voids of the substrate. The method also includes allowing the coating material impregnating the voids to dry and harden and become rigid to generate the building assembly.

A robotic controller is provided for generating sequences of movement primitives for sequential tasks of a robot having a manipulator. The controller includes at least one control processor, and a memory circuitry storing a dictionary including the movement primitives, a pretrained learning module, and a graph-search based planning module having instructions stored thereon. The controller to perform steps acquiring a planned task provided by an interface device operated by a user, wherein the planned task is represented by an initial state and a goal state with respect to an object, generating a planning graph by searching a feasible path of the object for the novel task using the graph-search based planning module and selecting movement primitives from the dictionary in the pretrained learning module, wherein the pretrained learning module has been trained based on demonstration tasks, parameterizing the feasible path represented by the movement primitives as dynamic movement primitives (DMPs) using the initial state and goal state, and implementing the parameterized feasible path as a trajectory according to the selected movement primitives using the manipulator of the robot by tracking and following the parameterized for the planned task.

A method of generating a building assembly that includes spraying a coating material onto a plurality of pieces of substrate disposed on a first assembly face. The spraying includes spraying the coating material onto the plurality of pieces of substrate via a sprayer configured to apply the coating material to a target surface via a nozzle coupled with a mobile storage container storing the coating material, the coating material impregnating voids of the substrate. The method also includes allowing the coating material impregnating the voids to dry and harden and become rigid to generate the building assembly.Attac

A robot causes an image capturing device to capture an image of a container in which a plurality of targets are placed to overlap in part with one another, the plurality of targets including components whose types are different from each other among the component and a component kit in which two or more of the components are assembled with one another, detects types, positions and poses of the plurality of targets based on the captured image captured by the image capturing device, determines a priority order of one or more of component kits being assembled using the targets placed in the container according to the detected types, the detected positions and the detected poses, and assembles the component kit selected based on the determined priority order.

A coating system for applying a coating to a substrate that can be part of a wall assembly. The system includes a positioning stage and an end effector coupled at a distal end of the positioning stage, the end effector configured to apply coating to a target surface. The system can further include a computing device executing a computational planner that: generates instructions for driving the end effector and positioning stage to perform at least one coating task that includes applying coating, via the coating the end effector, to one or more substrate pieces, the generating based at least in part on obtained target surface data; and drives the end effector and positioning stage to perform the at least one coating task.

A robotic controller is provided for generating sequences of movement primitives for sequential tasks of a robot having a manipulator. The controller includes at least one control processor, and a memory circuitry storing a dictionary including the movement primitives, a pretrained learning module, and a graph-search based planning module having instructions stored thereon. The controller to perform steps acquiring a planned task provided by an interface device operated by a user, wherein the planned task is represented by an initial state and a goal state with respect to an object, generating a planning graph by searching a feasible path of the object for the novel task using the graph-search based planning module and selecting movement primitives from the dictionary in the pretrained learning module, wherein the pretrained learning module has been trained based on demonstration tasks, parameterizing the feasible path represented by the movement primitives as dynamic movement primitives (DMPs) using the initial state and goal state, and implementing the parameterized feasible path as a trajectory according to the selected movement primitives using the manipulator of the robot by tracking and following the parameterized for the planned task.

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.