Guangdong University of Technology

Disai Chen

Xin Chen

Jian Gao

Lanyu Zhang

Zhuojun Zheng

Yuheng Luo

Guoqing Wu

The present application provides a kinematics modeling method, apparatus and device for a multi-degree-of-freedom mechanism and a storage medium. The method includes: constructing a point coordinate system, and constructing the transformation matrix; constructing transformation matrices of two rotating axes and the transformation matrix; constructing the forward kinematics model based on the transformation matrices of the point coordinate system, the two rotating axes and the workpiece coordinate system; solving the motor value of the rotating axis through the rotation matrix of the end-effector, using the translation matrix of the end-effector as a non-homogeneous linear equation set, solving the motor value of linear axis. Thus solving the technical problem in the prior arts that the redundant parameters are introduced as a cost to separate the linear axis and the rotating axis for step-by-step kinematics calibration, which affects the error calibration precision of the overall end-effector movement of the mechanism.

Kinematics modeling method, apparatus and device for multi-degree-of-freedom mechanism and storage medium

Disclosed are a kinematics parameter calibration method and system of a multi-axis motion platform. The method comprises the following steps of: collecting calibration board images in different spatial positions according to a position relation between the platform and a camera, recording a corresponding motor motion amount, solving a hand-eye pose relation matrix and a pose matrix of a calibration board coordinate system in a platform tail end coordinate system, further solving a coordinate measured value of an angular point on the calibration board in a platform base coordinate system and a coordinate theoretical value of a position matrix of the tail end of the motion platform, determining a residual error matrix according to the measured value and the theoretical value, and identifying an error parameter by the residual error matrix to complete kinematics parameter calibration of the platform.

Kinematics parameter calibration method and system of multi-axis motion platform

A kinematics-free hand-eye calibration method comprises: controlling translation axes of a five-axis motion platform to perform a single-axis point location motion, using a camera to obtain a first spatial coordinate of a calibration plate, fitting all first spatial coordinates into a spatial straight line to obtain a unit direction vectors of the spatial straight line, carrying out Schmidt orthogonalization on the unit direction vectors of the spatial straight lines of an X direction, a Y direction and a Z direction to obtain a pose relationship matrix combined by the orthogonalized direction vectors; obtaining a second spatial coordinate of the calibration plate in a mode of rotating an X-axis and a C-axis, fitting all second spatial coordinates into a spatial spherical surface, calculating a spherical center coordinate to obtain a position relationship matrix, and obtaining a hand-eye relationship matrix combined by the pose relationship matrix and the position relationship matrix.

Kinematics-free hand-eye calibration method and system

A dimensionless kinematics calibration method based on a virtual point and a related apparatus thereof. The method comprises: establishing a kinematics model of a motion mechanism, and arranging a plurality of virtual points at a tail end of the motion mechanism to establish a dimensionless kinematics model and a dimensionless error model; converting a measurement coordinate system into a motion mechanism coordinate system, acquiring a rotation matrix and a translation matrix of a target virtual point measured by the measurement device, and calculating actual coordinates of all virtual points to obtain a measured value of the dimensionless kinematics model; calculating a theoretical value of the dimensionless kinematics model according to a spatial relationship between a reflecting head and the tail end of the motion mechanism; and optimizing the dimensionless error model according to the measured value and the theoretical value to obtain a calibration result.

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Guangzhou, China

Disai Chen