Patent classifications
B25J9/1684
HANDLING SYSTEM AND CONTROL METHOD
A handling system according to an embodiment handles/processes plural kinds of articles. The handling system includes first and second conveyance devices, and a control device. The first conveyance device transports a processing target article among the articles to a work area for a robot to handle/process the target article. The second conveyance device transports the target article to a work area for as operator to handle/process the target article. The control device determines by which of the robot or the operator the target article is processed according to process information generated based on an article handling/processing result by the robot in past. The control device transports the target article to the first conveyance device when the target article is determined to be processed by the robot and transports the target article to the second conveyance device when the target article is determined to be processed by the operator.
System and method for automated artificial vision guided dispensing viscous fluids for caulking and sealing operations
The present disclosure provides a method and system by which a precise amount of a viscous fluid sealing compound can be dispensed at required locations through computer vision-based observation of the fluid deposited, its rate and amount of deposition and location; and that the dispensed fluid may be accurately shaped through robotic or other special purpose mechanism motion. The invention enables instant quality inspection of the dispensing process in terms of the locations, amounts and shapes of newly created seals.
PROCESSING APPARATUS
A processing apparatus 1 includes: a workpiece-set-position recognition unit 114 that moves an arm distal-end portion to a specified position measurement point to measure a shape of a workpiece in a workpiece set state in which the workpiece is positioned by a workpiece positioning unit, and thereby recognizes a set position of the workpiece; a processing-point-information generation unit 115 that, based on the set position of the workpiece and processing-target-portion information 124 indicating a position of a target portion of the workpiece for specified processing, generates processing-point information 125 indicating a processing point which is a movement point of the arm distal-end portion to perform the specified processing on the workpiece using a processing tool in the workpiece set state; and a workpiece-processing control unit 116 that moves the arm distal-end portion to the processing point based on the processing-point information 125 to perform the specified processing on the workpiece using the processing tool.
MECHANICAL ARM CALIBRATION SYSTEM AND MECHANICAL ARM CALIBRATION METHOD
A mechanical arm calibration system and a mechanical arm calibration method are provided. The method includes: locating a position of an end point of a mechanical arm in a three-dimensional space to calculate an actual motion trajectory of the end point when the mechanical arm is operating; retrieving link parameters of the mechanical arm, randomly generating sets of particles including compensation amounts for the link parameters through particle swarm optimization (PSO), importing the compensation amounts of each of the sets of particles into forward kinematics after addition of the corresponding link parameters, to calculate an adaptive motion trajectory of the end point; calculating position errors between the adaptive motion trajectory and the actual motion trajectory of each of the sets of particles for a fitness value of the PSO to estimate a group best position; and updating the link parameters by the compensation amounts corresponding to the group best position.
Method and system for object tracking in robotic vision guidance
A system and method for predicting the location at which a feature that is being tracked during a robotic assembly operation will be located within one or more images captured by a vision device. A vision device can be mounted to a robot such that the location of the vision device as the robot moves can be known or determined. In the event of an interruption of the tracking of the feature by the vision device as the corresponding workpiece is moving, the location of the feature relative to a vision device can be predicted, such as, via use of current or past historical movement information for the feature and/or the associated workpiece. Using the predicted location of the feature and the known location of the vision device, the location at which the feature will be located in an image(s) captured by the vision device can be predicted.
CONTROLLING MOVEMENT OF A MOBILE ROBOT
In certain embodiments, a method includes accessing image information for a scene in a movement path of a mobile robot. The image includes image information for each of a plurality of pixels of the scene, the image information comprising respective intensity values and respective distance values. The method includes analyzing the image information to determine whether to modify the movement path of the mobile robot. The method includes initiating, in response to determining according to the image information to modify the movement path of the mobile robot, sending of a command to a drive subsystem of the mobile robot to modify the movement path of the mobile robot.
REHABILITATION ROBOT TRAINING SYSTEM FOR MONITORING AND SUPPRESSING COMPENSATORY MOVEMENT OF HEMIPLEGIC UPPER LIMB
Disclosed is a rehabilitation robot training system for monitoring and suppressing the compensatory movement of a hemiplegic upper limb. The system includes an upper computer control center, an interaction display screen, a force feedback glove, a position tracker, upper limb rehabilitation robot tail end connectors, an upper limb rehabilitation robot, a base and a pressure cushion. One upper limb rehabilitation robot tail end connector is mounted on a tail end of each of two robotic arms of the upper limb rehabilitation robot, and the upper limb rehabilitation robot tail end connectors are respectively worn on an upper arm and a forearm of a patient to drive an arm to move; the upper computer control center stores and processes data, collected by the position tracker, the force feedback glove and the pressure cushion in real time, of the patient, and monitors and analyses whether the patient does a compensatory gesture.
Automated 3-D modeling of shoe parts
Manufacturing of a shoe is enhanced by creating 3-D models of shoe parts. For example, a laser beam may be projected onto a shoe-part surface, such that a projected laser line appears on the shoe part. An image of the projected laser line may be analyzed to determine coordinate information, which may be converted into geometric coordinate values usable to create a 3-D model of the shoe part. Once a 3-D model is known and is converted to a coordinate system recognized by shoe-manufacturing tools, certain manufacturing steps may be automated.
Autonomous moving body and control program for autonomous moving body
An autonomous moving body capable of appropriately avoiding an approaching autonomous moving body and efficiently executing a given task even when the autonomous moving bodies are not controlled by a single system or without intercommunication between them and a control program for the autonomous moving body are provided. An autonomous moving body moves along a planned moving path in order to execute a given task, and includes an external sensor that recognizes another autonomous moving body given another task and an operation state thereof, an avoidance determination unit that determines, when it predicts that the autonomous moving body and the another autonomous moving body recognized by the external sensor may come into contact with each other as they approach each other, whether to avoid the another autonomous moving body, and a movement control unit that controls a movement unit based on the determination of the avoidance determination unit.
METHOD AND SYSTEM FOR RECOGNIZING DEBURRING TRAJECTORY
A method for recognizing a deburring trajectory, relevant to be performed by a controller or a computer, includes the steps of: according to a process flow of a workpiece, analyzing a CAD file of the workpiece, determining a burr processing area and obtaining a mathematical model of boundary contour curve; applying a linear contour sensor to scan the workpiece to obtain contour section information of the workpiece; performing curve fitting upon the contour section information of the workpiece and the mathematical model of boundary contour curve so as to obtain a boundary curve function; and, utilizing the boundary curve function to determine deburring position information of the workpiece and to further generate a processing path. In addition, a system for recognizing a deburring trajectory is also provided.