A mechanism-parametric-calibration method for a robotic arm system is provided, including: controlling the robotic arm to perform a plurality of actions so that one end of the robotic arm moves toward corresponding predictive positioning-points; determining a predictive relative-displacement between each two of the predictive positioning-points; after each of the actions is performed, sensing three-dimensional positioning information of the end of the robotic arm; determining, according to the three-dimensional positioning information, a measured relative-displacement moved by the end of the robotic-arm when each two of the actions are performed; deriving an equation corresponding to the robotic arm from the predictive relative-displacements and the measured relative-displacements; and utilizing a feasible algorithm to find the solution of the equation. When an ambient temperature changes or a stress variation on the robotic arm exceeds a predetermined range, re-obtaining the set of mechanism parametric deviations corresponds to a current robot configuration.

A method for characterising the environment of a robot, the robot having a flexible arm having a plurality of joints, a datum carried by the arm, a plurality of drivers arranged to drive the joints to move and a plurality of position sensors for sensing the position of each of the joints, the method comprising: contacting the datum carried by the arm with a first datum on a second robot in the environment of the first robot, wherein the second robot has a flexible arm having a plurality of joints, and a plurality of drivers arranged to drive those joints to move; calculating in dependence on the outputs of the position sensors a distance between a reference location defined in a frame of reference local to the robot and the first datum; and controlling the drivers to reconfigure the first arm in dependence on at least the calculated distance.

Disclosed are systems and methods to provide a method for calibrating a touchscreen coordinate system of a touchscreen with an industrial robot coordinate system of an industrial robot for industrial robot commissioning and industrial robot system and control system using the same. In one form the systems and methods include attaching an end effector to the industrial robot; (a) moving the industrial robot in a compliant way until a stylus of the end effector touches a point on the touchscreen; (b) recording a position of the stylus of the end effector in the industrial robot coordinate system when it touches the point of the touchscreen; (c) recording a position of the touch point on the touchscreen in the touchscreen coordinate system; and calculating a relation between the industrial robot coordinate system and the touchscreen coordinate system based on the at least three positions of the end effector stylus and the at least three positions of the touch points.

A method for characterizing the environment of a robot, the robot having a flexible arm having a plurality of joints, a datum carried by the arm, a plurality of drivers arranged to drive the joints to move and a plurality of position sensors for sensing the position of each of the joints, the method comprising: contacting the datum carried by the arm with a first datum on a second robot in the environment of the first robot, wherein the second robot has a flexible arm having a plurality of joints, and a plurality of drivers arranged to drive those joints to move; calculating in dependence on the outputs of the position sensors a distance between a reference location defined in a frame of reference local to the robot and the first datum; and controlling the drivers to reconfigure the first arm in dependence on at least the calculated distance.

Methods, apparatuses, systems, and computer readable media for managing a tool in a robot system. In a method, a plurality of arm positions of a robot arm of the robot system are obtained when the tool is placed under a posture on a surface of a calibration object for calibrating the tool, where the posture represents rotation parameters of the robot arm. A center of the calibration object is determined based on the plurality of arm positions. A reference position of the robot arm is generated for calibrating the tool based a position of the center and the posture.

The present disclosure illustrates a system for automatically and precisely positioning a robotic arm and method thereof. A control computing apparatus of the present disclosure controls a probe of the robotic arm to touch one of the positioning devices, and acquires a moment variation of each of the axes from a moment sensing device of the robotic arm, and then computes the distance between a geometric center of the touched positioning device and a coordinate origin according to a geometric feature of the touched positioning device, and then positions the robotic arm according to the moment variations of the axes and the distance between the geometric center of the touched positioning device and the coordinate origin. Therefore, the technical effect of quickly, precisely positioning the robotic arm without the error accumulation can be achieved.

A tool calibration apparatus for a robot manipulator having a tool is disclosed. The tool calibration apparatus comprises a base, an X-axis measurement device, a Y-axis measurement device and a Z-axis measurement device. Each of the X-axis measurement device, the Y-axis measurement device and the Z-axis measurement device comprises a measuring plate and a sensor. The measuring plates of the X-axis measurement device, the Y-axis measurement device and the Z-axis measurement device move in a direction along the X-axis, Y-axis, and Z-axis, respectively. The sensors of the X-axis measurement device, the Y-axis measurement device and the Z-axis measurement device measure a displacement of the corresponding measuring plate. According to the displacements, information of a tool center point of the tool is acquired so as to calibrate the tool center point.

A three-dimensional measuring device includes a ball-shaped structure, an X-axis measuring module, a Y-axis measuring module and a Z-axis measuring module. The ball-shaped structure is moved and/or rotated in response to a movement of a movable object. The X-axis measuring module includes a first measuring structure and a first position sensor. The first measuring structure is movable along an X-axis direction and contacted with the ball-shaped structure. The Y-axis measuring module includes a second measuring structure and a second position sensor. The second measuring structure is movable along a Y-axis direction and contacted with the ball-shaped structure. The Z-axis measuring module includes a third measuring structure and a third position sensor. The third measuring structure is movable along a Z-axis direction and contacted with the ball-shaped structure.

A teaching apparatus for robot includes a force sensor disposed between an arm of a robot and an end effector, and a guide part attached to the end effector. An object includes a recessed part. The recessed part has a reference surface, with which target surface of the end part of the guide part are brought into surface-contact so as to determine a position and a posture of the robot. A robot control device performs a control for bringing the target surface of the guide part into surface-contact with the reference surface of the recessed part so as to determine a teaching position of the robot, based on the direction of a force applied to the end effector.

Example embodiments of the present disclosure relate to calibration of a tool and a work object for a robot. The method includes determining a geometry constraint from a set of candidate geometry constraints as a physical closure for the calibration; determining a set of touch points of the tool with the work object based on a performance criterion and an objective function, wherein the objective function is constructed for the tool and the work object based on the selected geometry constraint; and obtaining calibration parameters of the tool and the work object according to the objective function based on observations from the robot with the set of touch points.