Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms

Xin Luo; Zhibin Li; Long Jin; Shuai Li

doi:10.1007/978-981-99-5766-8

Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms

Xin Luo
, Zhibin Li
, Long Jin
, Shuai Li

BA56 Cognitive production industry

Southwest University
Chongqing University of Posts and Telecommunications
Lanzhou University
University of Oulu
VTT (former employee or external)

Research output: Book/Report › Book (author) › Scientific › peer-review

Abstract

Shows how robot calibration and control technology can achieve high scalability in real industrial applications.

Proposes control schemes and calibration algorithms that can effectively improve robot positioning accuracy.

Offers a publicly available dataset to help researchers from other fields conduct calibration experiments.

Original language	English
Publisher	Springer
Number of pages	125
ISBN (Electronic)	978-981-99-5766-8
ISBN (Print)	978-981-99-5765-1
DOIs	https://doi.org/10.1007/978-981-99-5766-8
Publication status	Published - 2023
MoE publication type	C1 Separate scientific books

Publication series

Series	SpringerBriefs in Computer Science
Volume	Part F1465
ISSN	2191-5768

Access to Document

10.1007/978-981-99-5766-8

A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm
Luo, X., Li, Z., Jin, L. & Li, S., 2023, Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms. Singapore: Springer, p. 111-121 (SpringerBriefs in Computer Science, Vol. Part F1465).
Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review
A Projected Zeroing Neural Network Model for the Motion Generation and Control
Luo, X., Li, Z., Jin, L. & Li, S., 2023, Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms. Springer, p. 51-68 (SpringerBriefs in Computer Science, Vol. Part F1465).
Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review
A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration
Luo, X., Li, Z., Jin, L. & Li, S., 2023, Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms. Singapore: Springer, p. 69-89 (SpringerBriefs in Computer Science, Vol. Part F1465).
Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review
1 Link opens in a new tab Citation (Scopus)

Cite this

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title = "Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms",

abstract = "Shows how robot calibration and control technology can achieve high scalability in real industrial applications. Proposes control schemes and calibration algorithms that can effectively improve robot positioning accuracy. Offers a publicly available dataset to help researchers from other fields conduct calibration experiments.",

author = "Xin Luo and Zhibin Li and Long Jin and Shuai Li",

year = "2023",

doi = "10.1007/978-981-99-5766-8",

language = "English",

isbn = "978-981-99-5765-1",

series = "SpringerBriefs in Computer Science",

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address = "Germany",

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AU - Luo, Xin

AU - Li, Zhibin

AU - Jin, Long

AU - Li, Shuai

PY - 2023

Y1 - 2023

N2 - Shows how robot calibration and control technology can achieve high scalability in real industrial applications. Proposes control schemes and calibration algorithms that can effectively improve robot positioning accuracy. Offers a publicly available dataset to help researchers from other fields conduct calibration experiments.

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DO - 10.1007/978-981-99-5766-8

M3 - Book (author)

SN - 978-981-99-5765-1

T3 - SpringerBriefs in Computer Science

BT - Robot Control and Calibration

PB - Springer

ER -

Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms

Abstract

Publication series

Access to Document

Fingerprint

Research output

A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm

A Projected Zeroing Neural Network Model for the Motion Generation and Control

A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration

Cite this