The present invention discloses an automatic high-shear low-pressure force-controlled grinding device for a complicated curved surface and a machining method thereof, which belong to the field of complicated curved surface grinding technologies of difficult-to-machine materials. The device comprises a base, columns, an industrial robot, an electrical spindle, a force-controlled floating tool holder, a workpiece chuck, a grinder plate, a six-dimensional force sensor, a rotary table, a triaxial precision displacement table, a safeguard hood, a safety door, and a pedestal. The grinder plate comprises a grinder plate substrate, a press plate, a lining plate, and an abrasive layer. Each module is effectively communicated, and a control system collects and processes signals as well as transmits commands to achieve automatic force-controlled grinding of the complicated curved surface. The abrasive layer of the grinder plate generates the shear thickening effect; so, the material can be removed in a high-shear low-pressure grinding manner.

A robotic repair system for high mast light poles includes a support ring having a diameter to fit around a high mast light pole, a guide system secured to and above the support ring, and a platform engaging the guide system and coupled to an actuator configured to move the platform in a first direction, and an opposing second direction. The robotic repair system also includes a repair attachment secured to the platform to repair the high mast light pole, a drive wheel and a motor coupled to and configured to drive the drive wheel and configured to move the repair attachment along the guide system, and an outer guide track secured adjacent to the guide system where the drive wheel is within the outer guide track.

Provided is an automatic polishing system that allows a polishing treatment of an article while circumventing a polishing averting portion of the article. A polisher is attached to a leading end portion of a movable arm of a work robot. A control device controls the work robot and the polisher, based on position information of a polishing target surface of an article, so that the polisher is moved along the polishing target surface by a movement of the work robot while providing a polishing action on the polishing target surface at the same time. An image of the article including an image of an area demarcation marker annexed to the article for demarcating the area of the polishing target surface is captured by a three-dimensional image capturing machine. The control device produces the position information of the polishing target surface by determining the position of the area demarcation marker based on image data of the image.

A disc changing system for a robotic defect repair system is presented. The system has a first abrasive disc and a second abrasive disc. The first and second abrasive discs are coupled to a liner. The system includes an abrasive disc placement device configured to automatically: remove the first abrasive disc from the liner, transport the first abrasive disc to a robotic tool of the robotic defect repair system, and place the first abrasive disc on a backup pad coupled to the robotic tool. The system also includes an abrasive disc remover configured to automatically remove the first abrasive disc after receiving a removal signal. The system also includes a controller configured to send an instruction to the disc placement device to remove, transport and place the first abrasive disc, instruct the robotic tool to conduct an abrasive operation. The controller is also configured to send the removal signal. The controller is a processor and the instructions are stored on a non-transitory computer-readable medium and executed by the processor.

An apparatus for automated contact tasks and a related method are described. The apparatus includes a mechanical interface for connecting the apparatus to a manipulator, a holder for receiving a tool and being movable in relation to the mechanical interface, at least one actuator for positioning the holder in relation to the mechanical interface, a sensor unit that senses the actuator force provided by the at least one actuator, and a control unit that sets the actuator force to a desired minimum force to press the holder against a stop, while there is no contact between the tool and a surface, and detects contact when the holder moves in relation to the mechanical interface in opposition to the direction of the desired minimum force. The control unit further regulates the actuator force according to a pre-programmed contact force time-characteristic, when contact between the tool and the surface has been detected.

Provided is an automatic polishing system that allows a polishing treatment of an article while circumventing a polishing averting portion of the article. A polisher is attached to a leading end portion of a movable arm of a work robot. A control device controls the work robot and the polisher, based on position information of a polishing target surface of an article, so that the polisher is moved along the polishing target surface by a movement of the work robot while providing a polishing action on the polishing target surface at the same time. An image of the article including an image of an area demarcation marker annexed to the article for demarcating the area of the polishing target surface is captured by a three-dimensional image capturing machine. The control device produces the position information of the polishing target surface by determining the position of the area demarcation marker based on image data of the image.

A lawn mower blade sharpening and task robot that autonomously drives under a lawn mower including a body, at least one motor, and a microprocessor. The robot also includes at least one a camera for object recognition and visualization of at least one of the lawn mower, a lawn mower deck, a lawn mower blade, and a lawn mower blade cutting edge, and at least one a sensor to sense the lawn mower, the lawn mower deck, the lawn mower blade, and lawn mower cutting edge. The robot may also include at least one of a task tool, a task arm, a task tip, and a task element in order to complete tasks such as sharping lawn mower blades and cleaning lawn mower blades.

A gemstone cleaning and analysis system and a method for cleaning and analyzing one or more gemstones using the system. The system includes a platform and an automated positioning system connected to the platform. The automated positioning system selects a gemstone from a plurality of gemstones, deposits the gemstone onto a cleaning stand connected to the platform, cleans at least one side of the gemstone by rubbing at least one side of the gemstone with at least one cleaning tool, and moves the gemstone to a gemstone imaging device connected to the platform. The gemstone imaging device has a plate, and the automated positioning system deposits the gemstone onto the plate. The gemstone imaging device identifies the gemstone. The automated positioning system moves the gemstone to a holding plate that is connected to the platform and deposits the gemstone at a particular location of the holding plate.

A grinding package fitted on robotic arm includes a main body, a pneumatic motor, a bridging part and a grinding tool. The main body is formed with a first space, a second space, a communicating hole communicating the first space to the second space, a connecting wall within the first space, an intake channel, an exhaust channel, openings of the first space and the second space respectively located on each of two parallel sides of the main body, the connecting wall having a ventilation hole. The pneumatic motor includes a motor body within the first space, and a transmission shaft connected to the motor body while extended from the second space through the communicating hole. The bridging part is combined with the main body and the robotic arm, the bridging part closing off the first space, the grinding tool facing the second space and being joined to the transmission shaft.

A machine learning apparatus that can determine the state of a tool from a force applied from the tool to a robot while the robot performs a work using the tool. A machine learning apparatus for learning a state of a tool used for a work by a robot includes a learning data acquisition section that acquires, as a learning data set, data of a force applied from the tool to the robot. while the robot causes the tool to perform a predetermined operation, and data indicating the state of the tool during the predetermined operation, and a learning section that generates a learning model representing a correlation between the force and the state of the tool, using the learning data set.