A pose calibration method, a robot, and a computer readable storage medium are provided. The method includes: obtaining, through a depth camera on a robot, a depth image including a target plane (i.e., a plane where the robot is located); determining point cloud data corresponding to the depth image; and calibrating a target pose of the depth camera based on the point cloud data and a preset optimization method, that is, calibrating a pitch angle and a roll angle of the depth camera and a height of the depth camera in a coordinate system of the robot. In this manner, the accuracy of the calibration of the target pose can be effectively improved while simple in implementation and small in calculation amount, and the efficiency of the calibration of the target pose can be improved so as to improve the user experience.

According to one aspect of the present invention, disclosed is an automatic calibration method for a calibration device connected to a camera that is disposed the end effector of a robot and to a robot controller for controlling the robot. The method comprises the steps of: acquiring, from the camera and the robot controller, a robot-based coordinate system and an image of a marker marked in the work area of the robot (wherein the acquired image and robot-based coordinate system are recorded while the end effector is moved to a plurality of sample coordinates); and estimating the position of a robot coordinate system-based marker by using the acquired image and robot-based coordinate system.

A system, method, and apparatus for changing a set of old tools for a set of new tools may be presented. The system may comprise a crawler robot, a robotic arm, a tool changer, a vision system, and at least one of a tool rack or a storage area. The tool changer may be an end effector of the robotic arm. The tool changer may comprise a number of grippers and a number of movement assemblies. The number of grippers may perform at least one of moving a set of new tools to the crawler robot or removing the set of old tools from the crawler robot. The number of movement assemblies may be associated with the number of grippers. The vision system may be associated with at least one of the robotic arm and the tool changer.

A calibration device is provided. The calibration device includes a frame, a first optical sensing device, a second optical sensing device and a third optical sensing device. The frame includes a bottom plate and at least four sidewalls, wherein the sidewalls have a first grating hole, a second grating hole, a third grating hole and a fourth grating hole at a first height. The bottom plate has an image recognition pattern, a first measurement point, a second measurement point and a third measurement point.

A system includes a pose manipulation system operationally that sets a pose of a position measurement system with respect to an object that is to be measured. The system further includes a pose tracking system configured to record a relative pose between a coordinate system associated with the position measurement system and a coordinate system of the object. The pose tracking system records a path along which the position measurement system is enabled to measure 3D coordinates of a surface of a type of an object, wherein recording the path comprises moving the pose manipulation system sequentially through a plurality of poses and recording, at each pose, the relative pose to measure the 3D coordinates. The pose manipulation system follows the path again, and the position measurement system measures the 3D coordinates by applying one or more of the recorded poses.

An imaging inspection apparatus includes a storage unit configured to store a predetermined position between a first position and a second position as a signal output position, the predetermined position being set by using a distance from a reference position that is based on at least one of the first position and the second position; an image-capturing command signal generator configured to determine, when causing a distal end portion of a robot to move from the first position to the second position, whether or not the distal end portion of the robot is located at the signal output position, and if it is determined that the distal end portion of the robot is located at the signal output position, the image-capturing command signal generator transmits, to the image-capturing device, an image-capturing command signal for capturing an image of the inspection object by using the image-capturing device.

The invention relates to the technical field of industrial robots, and particularly relates to a coordinate system calibration method, a device, and a computer readable medium. A coordinate calibration method comprising: rotating an actuator (20) about an z″ axis of an actual actuator coordinate system (63) to reach three different positions, and controlling a camera (10) to capture an image of a target object (60) on an operation platform (40) for each of the three reached positions; merging positions of the target object (60) in images captured at the three positions into one image, and determining coordinates of a center P3 of a circumcircle of the three positions of the target object (60) in the image under a camera coordinate system (62); enabling the actuator (20) to move along the z″ axis and contact the operation platform (40) with a terminal end, and labeling a contact point as a point P2; controlling the actuator (20) to return to a first position (71) along the z″ axis, and controlling the camera (10) to capture an image; determining coordinates of P2 under the camera coordinate system (62) according to the position of P2 in the image; and determining, according to the coordinates of P2 and P3 under the camera coordinate system (62) and a moved distance of the actuator (20) from the first position (71) along the z″ axis, a deviation of the z″ axis from a theoretical z axis of an actuator coordinate system (61). The invention has an advantage of operational simplicity.

A gripping system includes a hand that grips a workpiece, a robot that supports the hand and changes at least one of a position and a posture of the hand, and an image sensor that acquires image information from a viewpoint interlocked with at least one of the position and the posture of the hand. Additionally, the gripping system includes a construction module that constructs a model by machine learning based on collection data. The model corresponds to at least a part of a process of specifying an operation command of the robot based on the image information acquired by the image sensor and hand position information representing at least one of the position and the posture of the hand. An operation module executes the operation command of the robot based on the image information, the hand position information, and the model, and a robot control module operates the robot based on the operation command of the robot operated by the operation module.

The robot system for which the position of a camera attached to the arm is changeable to multiple positions. The robot system memorizes offset information between the arm and the camera for each of multiple positions. Further, the robot system moves the arm to the position offset by the offset information corresponding to the attachment position of the selected camera. As a result, even when the mounting position of the camera is changed, the robot system can move the camera to an appropriate position when imaging and perform imaging without requiring troublesome teaching.

A method is performed by a computing system. The method includes receiving image data from an imaging device, and determining, using the image data, a plurality of image-space tools, each image-space tool associated with a tool of a plurality of tools, each tool controlled by a manipulator of a plurality of manipulators. The method further includes determining a first correspondence between a first image-space tool of the plurality of image-space tools and a first tool of the plurality of tools based on a first disambiguation setting associated with the first tool.