Patent classifications
G05B19/4182
CONTROL DEVICE
A control device comprises a plurality of command application units, a plurality of platform units, and a shared memory. The command application units are each provided with a command mediation method designation unit that outputs, to the platform unit, identification information pertaining to a platform unit to be subject to cooperative control and a mediation method classification. The platform units are each provided with: an inter-platform communication unit that transmits a command value, the identification information, and the mediation method classification between the platform units via the shared memory; and a command mediation unit that acquires the command value, the identification information, and the mediation method classification from all platform units to be subject to cooperative control, mediates the command values on the basis of the identification information and the mediation method classification, and outputs the mediated command values to the shared memory.
AUTOMATED WORKPIECE INVERSION SYSTEMS AND RELATED METHODS
A method of inverting workpieces in a mass production process includes: advancing an end effector in electronic synchronization with advancement of a carrier to synchronize arrival of the carrier at a stop position with arrival of the end effector at an unloading position, in which the end effector is in alignment with a workpiece held by the carrier for engaging the workpiece; while the end effector is in engagement with the workpiece, retracting the end effector away from the carrier to unload the workpiece from the carrier and advancing the end effector back toward the carrier to load the workpiece back into the carrier; and rotating the end effector relative to the carrier to invert the workpiece in electronic synchronization with the retracting and advancing of the end effector for loading the workpiece back into the carrier when inverted.
TRANSPORTING PARCELS ON TRANSPORTATION LINES
In one embodiment, a system is provided. The system includes a set of pallets to hold a set of parcels. The system also includes a conveyor system to move the set of pallets to and from a transportation pod. The system further includes a lift system to lift the set of pallets to different heights within the transportation pod. The system further includes a storage system to store a set of parcels. The system further includes a mechanical arm to move the set of parcels from the storage system to the set of pallets.
Brick/block laying machine incorporated in a vehicle
A self-contained truck-mounted brick laying machine can include a frame that can support packs or pallets of bricks placed on a platform. A transfer robot can pick up and move the brick(s). A carousel can be coaxial with a tower. The carousel can transfer the brick(s) via the tower to an articulated and/or telescoping boom. The bricks can be moved along the boom by, e.g., linearly moving shuttles, to reach a brick laying and adhesive applying head. The brick laying and adhesive applying head can mount to an element of the stick, about an axis which is disposed horizontally. The poise of the brick laying and adhesive applying head about the axis can be adjusted and can be set in use so that the base of a clevis of the robotic arm mounts about a horizontal axis, and the tracker component is disposed uppermost on the brick laying and adhesive applying head. The brick laying and adhesive applying head can apply adhesive to the brick and can have a robot that lays the brick. Vision and laser scanning and tracking systems can be provided to allow the measurement of as-built slabs, bricks, the monitoring and adjustment of the process and the monitoring of safety zones. The first, or any course of bricks can have the bricks pre machined by the router module so that the top of the course is level once laid.
USING MACHINE LEARNING TO RECOGNIZE VARIANT OBJECTS
Using machine learning to recognize variant objects is disclosed, including: identifying an object as a variant of an object type by inputting sensed data associated with the object into a modified machine learning model corresponding to the variant of the object type, wherein the modified machine learning model corresponding to the variant of the object type is generated using a machine learning model corresponding to the object type; and generating a control signal to provide to a sorting device that is configured to perform a sorting operation on the object, wherein the sorting operation on the object is determined based at least in part on the variant of the object type associated with the object.
SYSTEM AND/OR METHOD OF COOPERATIVE DYNAMIC INSERTION SCHEDULING OF INDEPENDENT AGENTS
A method can include: receiving imaging data; identifying containers using an object detector; scheduling insertion based on the identified containers; and optionally performing an action based on a scheduled insertion. However, the method can additionally or alternatively include any other suitable elements. The method functions to schedule insertion for a robotic system (e.g., ingredient insertion of a robotic foodstuff assembly module). Additionally or alternatively, the method can function to facilitate execution of a dynamic insertion strategy; and/or facilitate independent operation of a plurality of robotic assembly modules along a conveyor line.
Processing Line with Feed Forward Data Backlog Control and Method
A processing line includes a conveyor for conveying product from upstream processing equipment to downstream processing equipment. Data structures stored in a memory of a controller comprise a backlog set point for a product type to be processed. A product sensor for the conveyor is enabled to generate signals representative of a number of the products moving on the conveyor from the upstream processing equipment for delivery to the downstream processing equipment. A conveyor speed sensor for the conveyor is enabled to generate signals representative of a speed of the conveyor. A backlog measurement based upon the product sensor signals and the conveyor speed sensor signals is determined. The backlog measurement is compared to the backlog set point to determine a difference in backlog. The controller is enabled to generate signals for controlling the processing line based upon the difference in backlog and additional information related to the product type.
Control device, picking system, distribution system, program, control method and production method
An trajectory information generating unit for generating trajectory information defining a trajectory for which a picking hand picks a work at a first position and arranges the work at a second position, an execution control unit for operating a picking apparatus based on trajectory information generated by the trajectory information generating unit, and an execution time estimating unit for estimating a period of time from when the picking apparatus receives an instruction for starting an operation on a work to a time when the operation of the picking apparatus on the work is ended are included. The trajectory information generating unit may adjust an amount of calculation based on an estimation result of the execution time estimating unit.
PRODUCTION PROCESSING APPARATUS, PRODUCTION PROCESSING METHOD, PROGRAM, AND WORK MANUFACTURING METHOD
[Solving Means] A production processing apparatus according to the present technology includes a first robot arm and a plurality of first tilt tables. The first robot arm is capable of conveying a work. On each of the plurality of first tilt tables, the work conveyed by the first robot arm can be mounted. The plurality of first tilt tables are tilted a predetermined angle from a horizontal surface at positions on a circumference of a circle with the first robot arm being a center, and the work is subjected to production processing in a state where the work is mounted on one of the plurality of first tilt tables.
CONTROLLABLE GRIPPER FOR A PICK AND PLACE ROBOT
The invention provides a controllable gripper for a robot. A plurality of gripping members, e.g. suction cups, are arranged to engage with a surface of an object to be gripped. The gripping members are arranged in a controllable gripping configuration. A base part is arranged to be moved by a robotic actuator, e.g. a gantry type of robotic actuator. Two or more arms connected to the base part are slidably arranged along their lengths relative to the base part. Each arm has a gripping member at or near its distal end. A controllable actuator system is arranged to control position of the arms in different directions, relative to the base part, thus allowing various gripping configurations to be formed with respect to at least size. Especially, four arms of fixed length, each with a suction cup, may be actuated by one or two electric motors, so a to allow the four suction cups to form various gripping quadrangle sizes. This allows the gripper to be capable of gripping small and large objects in random order, since the gripping configuration can be rapidly changed. Still, the gripper can be formed rather simple with few elements, and yet it is flexible and can be very compact in a compressed state of the arms to allow navigation into narrow spaces, e.g. to grip an object in a 3D bulk of objects. The gripper is preferably mounted to a robotic actuator by means of a controllable rotation and tilting arrangement.