SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints

Industrial robots are increasingly used in various applications where the robot accuracy becomes very important, hence calibrations of the robot's kinematic parameters and the measurement system's extrinsic parameters are required. However, the existing calibration approaches are either to...

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Main Authors: Lembono, Teguh Santoso, Suarez-Ruiz, Francisco, Pham, Quang-Cuong
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/145341
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1453412023-03-04T17:07:10Z SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints Lembono, Teguh Santoso Suarez-Ruiz, Francisco Pham, Quang-Cuong School of Mechanical and Aerospace Engineering 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Engineering::Mechanical engineering Robot Kinematics Calibration Industrial robots are increasingly used in various applications where the robot accuracy becomes very important, hence calibrations of the robot's kinematic parameters and the measurement system's extrinsic parameters are required. However, the existing calibration approaches are either too cumbersome or require another expensive external measurement system such as laser tracker or measurement spinarm. In this paper, we propose SCALAR, a calibration method to simultaneously improve the kinematic parameters of a 6-DoF robot and the extrinsic parameters of a 2D Laser Range Finder (LRF) that is attached to the robot. Three flat planes are placed around the robot, and for each plane the robot moves to several poses such that the LRF's ray intersect the respective plane. Geometric planar constraints are then used to optimize the calibration parameters using Levenberg-Marquardt nonlinear optimization algorithm. We demonstrate through simulations that SCALAR can reduce the average position and orientation errors of the robot system from 14.6 mm and 4.05° to 0.09 mm and 0.02°. Nanyang Technological University SMART Innovation Centre Accepted version This work was supported in part by NTUitive Gap Fund NGF-2016-01-028, SMART Innovation Grant NG000074-ENG, and the European Union under the EU H2020 collaborative project MEMMO (Memory of Motion), Grant Agreement No. 780684. 2020-12-17T08:47:26Z 2020-12-17T08:47:26Z 2019 Conference Paper Lembono, T. S., Suarez-Ruiz, F., & Pham, Q.-C. (2018). SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints. Proceedings of 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5570-5575. doi:10.1109/IROS.2018.8594073 978-1-5386-8095-7 https://hdl.handle.net/10356/145341 10.1109/IROS.2018.8594073 5570 5575 en NGF-2016-01-028 NG000074-ENG © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/IROS.2018.8594073 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Robot Kinematics
Calibration
spellingShingle Engineering::Mechanical engineering
Robot Kinematics
Calibration
Lembono, Teguh Santoso
Suarez-Ruiz, Francisco
Pham, Quang-Cuong
SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints
description Industrial robots are increasingly used in various applications where the robot accuracy becomes very important, hence calibrations of the robot's kinematic parameters and the measurement system's extrinsic parameters are required. However, the existing calibration approaches are either too cumbersome or require another expensive external measurement system such as laser tracker or measurement spinarm. In this paper, we propose SCALAR, a calibration method to simultaneously improve the kinematic parameters of a 6-DoF robot and the extrinsic parameters of a 2D Laser Range Finder (LRF) that is attached to the robot. Three flat planes are placed around the robot, and for each plane the robot moves to several poses such that the LRF's ray intersect the respective plane. Geometric planar constraints are then used to optimize the calibration parameters using Levenberg-Marquardt nonlinear optimization algorithm. We demonstrate through simulations that SCALAR can reduce the average position and orientation errors of the robot system from 14.6 mm and 4.05° to 0.09 mm and 0.02°.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Lembono, Teguh Santoso
Suarez-Ruiz, Francisco
Pham, Quang-Cuong
format Conference or Workshop Item
author Lembono, Teguh Santoso
Suarez-Ruiz, Francisco
Pham, Quang-Cuong
author_sort Lembono, Teguh Santoso
title SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints
title_short SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints
title_full SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints
title_fullStr SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints
title_full_unstemmed SCALAR - simultaneous calibration of 2D laser and robot's kinematic parameters using three planar constraints
title_sort scalar - simultaneous calibration of 2d laser and robot's kinematic parameters using three planar constraints
publishDate 2020
url https://hdl.handle.net/10356/145341
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