69results about How to "Improve absolute positioning accuracy" patented technology

The invention discloses a three-dimensional grid precision compensation method for an industrial robot and belongs to the technical field of inverse calibration of industrial robots. In the method, by taking advantage of the characteristic that the industrial robot has relatively high reposition accuracy and establishing the relationship between theory coordinates and actual positioning coordinates by a laser tracker, the theoretical coordinates of any one point in a certain cubic grid divided in an enveloping space of the robot can be corrected by a spatial interpolation process, so that the absolute position precision compensation of the robot at the point is accomplished. In the method, the calculation procedure is simple and fast; the absolute position precision of the robot can be obviously improved, and the robot can be suitable for a wider application range.

The invention relates to an industrial robot positioning precision calibration method used for improving robot absolute positioning precision. The method comprises the steps that: a robot kinetics model is established; a rotary joint equation is established by using a circumferential method; joint torsion angle parameter values are calculated; the actual pose of a robot end is measured accurately by utilizing a laser tracker; D-H algorithm inversion kinetics equation is improved to obtain geometrical structural parameters; calibration of joint distance parameter values and calibration of joint offset are realized, and thereby first calibration is completed. Error correction is carried out on D-H parameters based on first calibration results, and if positioning precision can not meet requirements, second calibration can be carried out by substituting parameter correction values, instead of theoretical parameter values, into the kinetics equation. Absolute positioning precision of the robot is improved with the calibration method, which is proved in experiments. According to the invention, the calibration method is advantaged in that the method is simple and practical and introduces small external errors.

The invention discloses a control system and a control method of an outdoor micro ground swarm robot. The control system comprises a differential positioning base station, an upper monitoring computer and a plurality of individual robots, wherein the individual robots form a swarm robot system; the differential positioning base station is used for receiving a positioning signal in real time, performing pseudo-range differential calculation with a given base station reference coordinate, and then sending a differential correction number to the individual robots in the swarm robot system through a wireless communication module; the individual robots are used for receiving the positioning signal in real time and the differential correction number sent by the base station and obtaining a position coordinate after performing pseudo-range differential calculation; and the upper monitoring computer is used for receiving the position information of the individual robots through the wireless communication module and sending a command to control the running of the individual robots. By the control system and the control method, the positioning precision of the individual robots can be improved, and complex tasks, such as coordinate control and combined target search of the swarm robots are realized.

The invention discloses a substation type precision compensation for a robot system with an additional external shaft, belongs to the technical field of industrial robot reverse calibration, and aims to solve the difficulty in compensating the error of the external shaft (guide rail) of the industrial robot. According to the method, based on a robot envelope line, the guide rail is divided into a plurality of substations and substation type compensation is performed. The method comprises the steps: a laser tracker is adopted to measure and recognize the error of the external shaft (guide rail) and the robot, and the compensation for the tail end error of the robot is completed through inputting corrected control commands into the robot. During measurement and recognition of the error of the external shaft, an auxiliary coordinate system is introduced so as to allow the measuring process to be simple and quick, and meanwhile to ensure the precision. Through test verification, the method can greatly improve the absolute positioning precision of the robot with the additional external shaft, so as to allow the robot to be suitable for wider applications.

The invention discloses a two-step error compensation method for a robot. The method comprises the steps of: (1) establishing a robot positioning error model based on a corrected D-H method and differential kinematics; (2) solving all geometric parameter errors by utilizing a least squares iteration estimation, and directly compensating the directly compensatable geometric parameter errors into D-H configuration parameters of the robot; and (3) converting the non-directly compensatable geometric parameter errors into a joint rotation angle compensation value, and correcting the rotation anglevalue of each joint of the robot to realize indirect compensation. According to the method, robot error compensation is divided into two steps, direct compensation of geometric parameter errors solvedby a robot inverse kinematics algorithm cannot be affected, and residual geometric parameter errors are indirectly compensated to robot joint rotation angles. According to the method, existing robotinverse kinematics algorithm does not need to be modified, robot tail end position errors can be effectively reduced, robot tail end absolute positioning precision is improved, and the method can be widely applied to the technical field of robot error compensation.

The embodiment of the invention provides a serial robot kinematic calibration method and system. The method comprises the steps of S1, establishing a geometrical parameter error model based on the relationship of two adjacent connecting rods of a serial robot; S2, establishing a parameter identification model according to the difference of the nominal value and the actual value of relative displacement between measuring points of tail end positions of the robot under two different postures; S3, measuring relative displacement between a plurality of sets of measuring points and conducting identification on the geometrical parameter error of the robot to obtain a corrected geometrical parameter; and S4, compensating for the errors of the tail end positions of the robot according to the corrected geometrical parameter and on the basis of an absolute increment control method to improve the absolute positioning accuracy. Through the technical scheme, the calibration time can be saved, and the calibration process is more flexible. The kinematic parameters are accurately identified by establishing the parameter identification model, and through cooperation with the error compensation algorithm, the trajectory planning accuracy is improved.

The invention discloses a patient-carrying medical mechanical arm error compensation system and method. The compensation system comprises a medical mechanical arm body, an absolute encoder, a six dimensional force sensor and a controller; by using the six dimensional force sensor for detecting the gravity size and centre-of-gravity position of a patient, the terminal pose error of the medical mechanical arm is worked out through a flexibility error model, the method is rapid and efficient, and automatic error compensation is easy to achieve; in the flexibility error model calculation in the error compensation method, average flexural rigidity and average torsional rigidity are introduced, the influence of a variable cross section bar structure on the flexibility error of the medical mechanical arm is considered, and the mechanical arm pose error calculation precision can be further improved.

The invention discloses an industrial robot step-by-step calibration system and method. The calibration system comprises a tail end measuring device arranged on a robot flange, as well as a movable double-ball device, a fixed three-ball-seat device, a counter, a computer and the like which are matched with a robot. The calibration method comprises first-step calibration: calibrating kinematics parameters of the robot by using a wide-area distance error; and second-step calibration: based on the result of the first-step calibration, calibrating the pose of a robot-based coordinate system by using a position error. Furthermore, the calibration method can also comprise the following steps: firstly, calibrating the measurement error of the tail end measurement device; and then carrying out the first-step calibration and the second-step calibration. The calibration system has the advantages of being portable, low in cost and the like; meanwhile, the calibration method improves the precision and reliability of kinematics calibration, calibration of the robot-based coordinate system is achieved, then the absolute positioning precision of the robot is improved, and the application range of the robot in precision manufacturing is widened.

The invention is suitable for the technical field of robots, and provides a method and device for calibrating mechanical parameters of an SCARA robot and the SCARA robot. By acquiring a plurality of first measurement data and second measurement data, the angle corresponding to each joint when a first group of joints and a second group of joints move, a first zero point deviation angle and a secondzero point are respectively calculated by adopting a multi-point method, so that the calibration precision of the arm length and the zero point is improved, and the calibration precision of the arm length and the zero point affects the absolute positioning precision of the SCARA robot, so that the absolute positioning precision of the SCARA robot is also improved.

The invention belongs to the technical field of spatial data processing and positioning and discloses a high-precision mapping and positioning method based on the combination of a vehicle-mounted Lidar and an unmanned aerial vehicle. The method comprises the following steps of: acquiring a control surface element, performing feature point extraction on unmanned aerial vehicle images subjected to initial orientation processing, performing feature matching between the images, acquiring homonymous feature points between the unmanned aerial vehicle images, and performing gross error elimination onmismatched points by utilizing a robust estimation method; establishing a one-to-many or one-to-one mapping relationship between feature surface elements and feature points on the unmanned aerial vehicle images; and performing refining calculation on the unmanned aerial vehicle images and camera external parameters through bundle adjustment iteration so as to obtain high-precision azimuth elements and parameters. The method is high in speed and high in precision; the absolute positioning precision of the method is improved to be within the plane of 5cm and the elevation of 10cm through outfield control point checking; and a low-cost technical solution is provided for obtaining a high-precision map through the combination of the unmanned aerial vehicle and the Lidar.

The invention relates to an error compensation method for an industrial robot, and belongs to the technical field of industrial robots. The error compensation method comprises the following steps: inputting a specified motion position into an initial robot kinematics model, and solving a rotation angle of each joint shaft by utilizing inverse motion; inputting the obtained rotation angle of each joint shaft into an actual robot kinematics model, and solving by utilizing forward motion to obtain a first compensation position corresponding to the specified motion position; the method comprises the following steps: carrying out grid division on a motion space of an industrial robot, determining a grid where a first compensation position is located, obtaining an error at the first compensation position in the grid by utilizing a spatial interpolation method according to each vertex error of the grid, and further obtaining a second compensation position by combining the first compensation position and the error of the point; and performing error compensation according to the second compensation position. The method combines an axis measurement method and a space grid method to carry out error compensation on the industrial robot, and the absolute positioning precision of the robot is effectively improved.

The invention discloses a robot kinematics parameter identification method based on a hybrid genetic simulated annealing algorithm. According to the method, a kinematics model of a robot and an errormodel of the robot are constructed, and performance advantages of a genetic algorithm and a simulated annealing algorithm are utilized and mixed together to be used; accurate identification of model errors is achieved through the global search capacity of the genetic algorithm and the local search capacity of the simulated annealing algorithm, and therefore various parameters of the robot models can be corrected, and the absolute positioning precision of the tail end of the robot is improved; and an optimal solution obtained by the genetic algorithm is directly input into the simulated annealing algorithm, and therefore the global optimization capacity is achieved, a local optimal solution can be omitted, and error model parameters are accurately identified.

The invention discloses a medical robot DH parameter calibrating method, comprising: establishing the kinetic model of a medical robot and the imaging model of a camera; establishing an error equation according to the system position information and attitude information determined based on the kinetic model of a medical robot and the imaging model of a camera; and determining the objective function of an optimization problem according to the error equation, and solving the objective function to calibrate medical robot DH parameters. The method has the characteristics of simple operation and lower cost, and can effectively improve absolute positioning precision.

The invention relates to the field of self-adaptive control, in particular to a method for improving absolute positioning precision based on a six-degree-of-freedom series mechanical arm. The method comprises the following steps of, firstly, acquiring tail end target spot information through a laser tracker, and preprocessing to carry out coordinate conversion between the mechanical arm and the laser tracker; then, establishing an exponential product model of the mechanical arm by applying Lie Groups and Lie Algebras, fusing the exponential product model with a method for solving a global minimum value through a sequential quadratic programming algorithm, and compensating tail end geometric errors generated by joint parameter deviation of the mechanical arm; and finally, solving an inverse kinematics solution through an actual point location obtained by the laser tracker and the exponential product model, carrying out model training by using a Gaussian process regression algorithm, carrying out compensation prediction on a non-geometric motion error, and inputting a predicted compensated angle value into a demonstrator. According to the method, the actual kinematics model parameters of the mechanical arm can be calculated more accurately, and the tail end point position error is reduced so as to improve the absolute positioning precision of the mechanical arm.

The invention provides a navigation operation system, a registration method thereof and a computer readable storage medium. The navigation operation system comprises a robot system, a navigation system and a control unit which are in communication connection, wherein the robot system comprises a mechanical arm and is provided with a robot coordinate system established on the mechanical arm; the navigation system comprises navigation tracking equipment; and the navigation system is provided with a base coordinate system which can be identified by the navigation tracking equipment. The navigation operation system is configured as follows: the navigation tracking equipment tracks the position of the tail end of the mechanical arm in space; and the control unit executes kinematic model calibration on the mechanical arm according to the position of the tail end of the mechanical arm in the space, and obtains a first conversion relationship between the base coordinate system and the robot coordinate system according to the calibrated model of the mechanical arm. The navigation operation system can improve the positioning accuracy of the mechanical arm and improve the operation precision.

The invention discloses a mechanical arm DH parameter identification method based on a least square method. The method comprises the steps: determining the initial DH parameters of a mechanical arm according to the configuration and structural parameters of the mechanical arm, and constructing a mechanical arm error model according to a differential motion principle; based on the initial DH parameters of the mechanical arm, conducting self-calibration on the mechanical arm through a calibration plate, and recording encoder values of all joints, corresponding to all sets of points, of the mechanical arm; parameterizing the mechanical arm error model through the least square method in combination with the encoder values; according to the parameters of the mechanical arm error model and the initial DH parameters of the mechanical arm, obtaining the tail end position of each set of points, and calculating the difference value between each tail end position and the absolute position of a fixed point; and identifying the parameters of the mechanical arm error model by comparing the difference values with a set threshold value. According to the method, parameter identification is carried out by constructing the error model and through self-calibration of the calibration plate, the absolute positioning precision of the mechanical arm is effectively improved, and the cost can be reduced.

The invention provides a six-degree-of-freedom industrial robot rigid-flexible coupling model modeling simulation method. The method comprises the steps: establishing an industrial robot rigid body model; importing the rigid body model into ADAMS, and setting unit attributes and material attributes; according to a kinematics model modeling method, performing trajectory planning on the robot in thejoint space based on an MATLAB robot toolbox, and outputting a joint driving function; adding kinematic pair constraints and joint driving functions into the ADAMS, and carrying out the kinematic simulation; importing the key component into ABAQUS, distributing component material attributes, creating analysis steps and constraint conditions, and establishing a modal neutral file after the key component is softened as a flexible body component; replacing corresponding parts in the rigid body model with the flexible body parts to generate a rigid-flexible coupling model of the industrial robot,and carrying out dynamic simulation on the rigid-flexible coupling model. The method is convenient for comprehensive research of change rules of kinematics and kinetic parameters of the tail end of the robot, simulation time is saved, and efficiency is improved.