Abstract detail

102 / 2021-03-30 14:43:42
A geometric kinematic identification of an Industrial robot based on a multi-camera system
Robot calibration, Kinematic identification, Multi-camera system, Screw axis measurement
Rotor dynamics and Robotics
Draft Paper Accepted
Hanwen Song / School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai
Tianchi Gao / School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai
Fan Meng / School of Aerospace Engineering and Applied Mechanics, Tongji University
   Parametric approach and geometric method are the two most commonly used methods in industrial robot calibration. Screw axis measurement is a major step of the geometric method, which is believed can provide the actual geometric information of the robot. However, to obtain better results, the data in a large motion range and abundant measuring points are needed when conducting the screw axis measurement, while traditional measurement devices (such as laser trackers, coordinate measuring machines, etc.) are time-consuming. The laser tracker may even take longer to search the spherically mounted retro-reflector (SMR) due to the limitation of the incident angle, sometimes may even lose the SMR’s position. In this article, we try to use a multi-camera system which is well known for its high flexibility and fast testing speed to perform the screw axis measurement of an industrial robot. Besides, we choose to identify the MDH parameters instead of the DH parameters to overcome the singularity of the DH modal when encountering the approximately parallel adjacent axes. Also, the dual vector is used to simplify the calculation and the description of the axis. Based on the redundancy of data during measurement, an iterative method was developed to reduce the impact of noise. After the proposed approach is verified in simulation, an experiment was carried out on real industrial robots. We found the identified kinematic parameters are in good agreement with those obtained using laser tracker while the test speed of the multi-camera system is much faster than laser tracker and much less expensive.

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Important Dates

Abstract Submission Deadline:

 31st March 2021 15th April 2021

Extended Deadline: 1st Aug. 2022

 

Abstract Acceptance:

30th April  2021 Rollover

 

Full Paper Submission Deadline:

30th June 2021  14th July 2021

Extended Deadline: 15th Aug. 2022 

 

Notification of Acceptance:

15th August 2021 1st Sept. 2021

1st Sept. 2022

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