284results about How to "Efficient crawling" patented technology

The invention discloses a robot under-actuated hand autonomous grasping method based on stereoscopic vision, and relates to a robot autonomous grasping method. The problems that a grasping point can not be calculated through an existing robot grasping method until a three-dimensional model of an object is obtained in advance and the existing robot grasping method can only recognize a simple object and can not obtain a corresponding grasping point for a complicated object are solved. The method includes the steps of obtaining RGB-D point cloud of the object and the environment through a Kinect sensor and conducting filtering on the point cloud for a to-be-grasped object and the environment of the object; extracting normal vector included angle characteristics, coplanar characteristics, distance characteristics, grasping stability characteristics, collision detecting characteristics and corresponding constraint equations for the RGB-D point cloud; establishing a grasping planning scheme on the basis of Gaussian process classification; driving an under-actuated hand for grasping according to the grasping scheme, then judging whether the under-actuated hand has already grasped the object or not according to current detection till the under-actuated hand grasps the object, and releasing the object after completing the grasping task. The method is suitable for the field of robot grasping.

The invention discloses a sequential grabbing method and device for stacked articles, and relates to the technical field of computers. One specific embodiment of the method comprises the following steps: segmenting point cloud of an article on the uppermost layer from point cloud data of stacked articles, and acquiring three-dimensional coordinates of the segmented point cloud; for the segmented point cloud, mapping three-dimensional coordinates of the segmented point cloud into two-dimensional coordinates on a two-dimensional image of the object by utilizing a calibration relationship betweena two-dimensional camera and a three-dimensional camera; digging out a corresponding area from the two-dimensional image of the article according to the two-dimensional coordinates, and identifying the article in the area; and acquiring three-dimensional coordinates of the corresponding point cloud according to the identified two-dimensional coordinates of the article, and calculating the identified central position of the article and the grabbing posture of the tooling according to the acquired three-dimensional coordinates of the point cloud so as to grab the article. According to the method, article identification and article position determination can be accurately carried out, so that article grabbing is more accurate, convenient and efficient, and the collision probability during article grabbing is reduced.

The invention provides a pipeline defect identification method. A pipeline robot transmits a video in a pipeline in real time, samples the video into a key frame image, effectively identifies and captures pipeline defects in the image, and stores an extracted defect image positioning mark. According to the method, the basic idea of DefectNet is used for solving the target defect detection as a regression problem. Firstly, feature extraction is performed through a convolutional neural network to obtain a feature map of a certain size; the then, feature maps of different scales are divided intoa plurality of grids by multi-scale prediction, and the grid where the center of a defect target is located is responsible for predicting the defect target; and finally, target classification and frame regression are carried out, and each grid judges the category to which the defect target belongs and adjusts the frame position. Compared with the prior art, the method has the advantages that the detection precision and the detection efficiency are improved, and the method has high innovativeness and practical value and is suitable for popularization.

The invention relates to an IP restricted controlled source information capture method based on agent pools, and belongs to the field of data acquisition and processing in the computer science. The method comprises the following steps: maintaining two agent pools A and B, and storing all agents in the agent pool A; testing available agents and initializing the agent pool B; randomly selecting agents in the agent pool B for use in a capture process; triggering an updating operation of the agent pool B by a dynamic maintenance operation of the agent pool B in the capture process; and realizing efficient capture of an IP restricted controlled information source by using the agent pool algorithm. According to the IP restricted controlled source information capture method, the two agent pools are maintained, the available agents are dynamically regulated and controlled in the information capture process to solve the problems of instable agent and low capture efficiency and expand resources for all kinds of data drive experiments.

A combination toothbrush, floss dispenser and tongue scraper apparatus is provided. The apparatus comprises an elongated member having a first end with a brush head and having an opposite second end with a tongue scraper and having an inner cavity with a floss dispenser disposed within the member between the brush head and the tongue scraper. A lid is hinged at a substantially central section of the elongated member for enclosing or providing access to the inner cavity by movement between open and closed positions relative to the inner cavity.

The invention discloses a distributed crawler management system. The distributed crawler management system comprises a homepage presenting module, a project management module, a crawler management module, a data management module, a node management module and an agency management module, wherein the homepage presenting module is used for system logging in and data presenting, the project management module creates projects and manages the projects, the crawler management module conducts deployment and management on project crawlers, the data management module performs monitoring and managing on crawler data, the node management module performs management on crawler nodes and the agency management module performs agency management on crawlers of a user. The crawler nodes are virtual machines applied from a cloud platform. Besides, the invention further provides a distributed crawler management method. The distributed crawler management system can provide anti-crawling schemes and management and analysis of the crawlers and the data, and thus safe and efficient data crawling solving schemes are provided for enterprises and individuals.

The invention describes a pixel circuit, a driving method thereof, a display panel and a display apparatus. The pixel circuit comprises a first transistor to a sixth transistor, a first capacitor, a second capacitor and a light emitting element, wherein the first transistor transmits data signals to a first node, the second transistor transmits first power source signals to the first node, the third transistor transmits the electric signals from the second transistor to a third node, a fourth transistor transmits the potential of the third node to a second node, the fifth transistor transmits referential voltage to the anode of the light emitting element, the sixth transistor transmits the potential of the third node to the anode of the light emitting element, the first capacitor couples the potentials of the first node and the second node, and the second capacitor couples the potentials of the second node and the third node. The light emitting unit in the pixel circuit may not emit light undesirably, and the threshold-voltage of the driving transistors can be captured accurately. Display consistency can be improved.

The invention relates to the technology of crawler crawling and management scheduling and aims at providing a crawler crawling method in the field of automatic vertical subdivision and a management system. The crawler crawling method in the field of the automatic vertical subdivision comprises the steps of predicting crawler operation time; carrying out batch crawler scheduling optimization according to prediction time and the parallel number; and carrying out crawler crawling. Compared with the prior art, the method and the system have the advantages that the crawling efficiency of crawlers in the field of the automatic vertical subdivision is relatively high; through combination of features of vertical subdivision crawlers, a time prediction model for the crawlers is creatively introduced; and through combination of a longest processing time algorithm, the efficient scheduling of the parallel crawlers is carried out, so the crawling time is reduced.

The invention relates to small-diameter deep well automatic rescue equipment. The rescue equipment is lowered down into a well through a rope, a person falling in the well is searched through a detecting instrument arranged on an equipment body, once the person is positioned, the equipment can be adjusted to a suitable posture, and the rescued person is grasped through a flexible actuating mechanism below. The advantages of the rescue equipment are that the search and rescue time can be greatly shortened, stable and firm grasp can be achieved, secondary injury to a human body is avoided, the manpower and material resources needed for rescue are greatly saved, and the survival rate of the rescued person is increased.

The invention discloses a glass circuit board based FPC (flexible printed circuit) board hot-pressing device, processing system and method. The hot-pressing device comprises a rotating platform capable of rotating intermittently, wherein the rotating platform is provided with two layers of fixing boards which are mutually parallel and can rotate simultaneously, one layer is hot-pressing fixing board used for fixing hot-pressing assemblies, the other layer is a jig fixing board for fixing jig assemblies, the rotating platform is divided into a plurality of station areas, and one hot-pressing assembly and one jig assembly are arranged in each station area; each hot-pressing assembly comprises a lifting control mechanism, a hot-pressing head and a buffering mechanism; a loading platform, a first preset platform, an ACF (anisotropic conductive film) attachment assembly, a second preset platform, the hot-pressing device and an unloading platform are mounted on a mounting platform. The work efficiency of the hot-pressing device can be improved, the area occupied by the equipment can be reduced, and the cost is saved.

The invention relates to industrial automation equipment and in particular to automatic machinery cleaning equipment. A full-automatic cleaning treatment assembly line for a high-clean battery cover plate comprises a rack, dynamic stock bins, manipulators, a conveyor belt, a hairbrush stick, a cleaning chamber, a drying chamber and a guide mechanism, wherein the dynamic stock bins and the manipulators are fixedly connected to the two ends of the rack assembled by aluminum profiles; the conveyor belt is arranged between the dynamic stock bins; the manipulators are arranged at the upper parts of the corresponding dynamic stock bins; and the hairbrush stick, the cleaning chamber, the drying chamber and the guide mechanism are sequentially arranged on the conveyor belt in the conveying direction. The full-automatic cleaning treatment assembly line for the high-clean battery cover plate is suitable for realizing automatic cleaning treatment of the battery cover plate in the machine manufacturing process, realizes unmanned cleaning treatment on the battery cover plate and also ensures the cleaning quality due to supplementation of multiple cleaning processes.

A device for installing a tire chain is a one-piece, rugged tool made of ⅜″ or ½″ steel stock. The tool has a total length of approximately 1 foot. At a first end, the tool has an arcuate shape that terminates in an open channel, which channel functions to grab a chain hook and to lever the hook into engagement with a chain link. The second end of the tool is L-shaped and terminates in an elliptical-shaped member dimensioned to fit a conventional cam-loc tightening device.

The invention discloses a multifunctional pear picker and a picking method. The multifunctional pear picker comprises a telescopic rod; a collecting rod mechanical arm is fixed on the telescopic rod;the top of the connecting rod mechanical arm is provided with a three-jaw manipulator; the lower end of the telescopic rod is fixedly connected with a fruit conveying pipe; the other end of the fruitconveying pipe communicates with an automatic packaging collecting box. Through the multifunctional pear picker provided by the invention, the working efficiency of fruit picking can be improved.

A wood screw provides a plurality of auxiliary cutting areas disposed on a bottom surface of a head and a flat area formed in any two adjacent auxiliary cutting areas. Each auxiliary cutting area includes at least two cutting grooves disposed at intervals and formed on the bottom surface, and a cutting edge formed at a convergence of the connective cutting grooves. When the bottom surface contacts the surface of the wood, the cutting edge cuts and scrapes off burrs generated around the drilling hole, and the scraped burrs are accommodated in the cutting grooves to prevent the burrs from exposing to the head after screwing. Further, the head is tightly screwed on the wood to enhance the screwing stabilization.

The invention relates to a collision prediction method for a three-figure grasper and provides a collision prediction method for a three-figure grasper of a space robot to solve the problem that a method for predicting a collision when the space robot performs grasping operation in orbit is low in efficiency. The collision prediction method is implemented through the following steps: 1, designing a three-dimensional model of a three-figure grasping mechanism of the space robot, and building a mathematical model according to the three-dimensional model; 2, performing collision detection of the three-figure grasping mechanism according to the three-dimensional model and the mathematical model which are built in Step 1 to obtain a collision model, and calculating a collision force according to intrusion of the collision model; and 3, building a kinetic model of the three-figure grasping mechanism of the space robot by using the collision model and a mechanical arm system model, and designing a control system model of the three-figure grasping mechanism of the space robot according to the kinetic model of the three-figure grasping mechanism. The collision prediction method is applied to the field of three-figure grasper collision prediction.

The invention discloses a motion planning system and method of an industrial robot for smoothly grabbing a moving object. The motion planning system of the industrial robot for smoothly grabbing the moving object comprises a smooth grab model building module, an obstacle avoidance algorithm module and a smooth grab algorithm module. The smooth grab model building module is used for describing the relative relationship between the target position and an end actuator and the relationship between an obstacle and the arm plane of the industrial robot so as to generate an attraction vector and a rejection vector. The obstacle avoidance algorithm module is used for generating the motion for avoiding the obstacle so as to avoid the moving obstacle. The smooth grab algorithm module is used for generating the smooth grab motion according to a smooth grab algorithm in the mode of using the attraction vector and the speed of the moving object as the input under the condition that the obstacle leaves from a collision-free region, so that the smooth grab operation is achieved. By the adoption of the motion planning system and method of the industrial robot for smoothly grabbing the moving object, the purpose that the industrial robot smoothly grabs the moving object in the working space in the complex industrial environment can be achieved, and therefore the damage to the object to be grabbed is avoided.