東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Robot control and calibration = inno...

Luo, Xin.

FindBook

Google Book

Amazon

博客來

Robot control and calibration = innovative control schemes and calibration algorithms /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Robot control and calibration/ by Xin Luo ... [et al.].
其他題名:	innovative control schemes and calibration algorithms /
其他作者:	Luo, Xin.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xi, 125 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. A Novel Model Predictive Control Scheme Based on an Improved Newton Algorithm -- Chapter 3. A Novel Recurrent Neural Network for Robot Control -- Chapter 4. A Projected Zeroing Neural Network Model for the Motion Generation and Control -- Chapter 5. A Regularization Ensemble Based on Levenberg-Marquardt Algorithm for Robot Calibration -- Chapter 6. Novel Evolutionary Computing Algorithms for Robot Calibration -- Chapter 7. A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm -- Chapter 8. Conclusion and Future Work.
Contained By:	Springer Nature eBook
標題:	Robots - Control systems. -
電子資源:	https://doi.org/10.1007/978-981-99-5766-8
ISBN:	9789819957668

Robot control and calibration = innovative control schemes and calibration algorithms /
Robot control and calibrationinnovative control schemes and calibration algorithms /[electronic resource] :by Xin Luo ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xi, 125 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

Chapter 1. Introduction -- Chapter 2. A Novel Model Predictive Control Scheme Based on an Improved Newton Algorithm -- Chapter 3. A Novel Recurrent Neural Network for Robot Control -- Chapter 4. A Projected Zeroing Neural Network Model for the Motion Generation and Control -- Chapter 5. A Regularization Ensemble Based on Levenberg-Marquardt Algorithm for Robot Calibration -- Chapter 6. Novel Evolutionary Computing Algorithms for Robot Calibration -- Chapter 7. A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm -- Chapter 8. Conclusion and Future Work.

This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. Moreover, the book develops four advanced algorithms for robot calibration - Levenberg-Marquarelt with diversified regularizations; improved covariance matrix adaptive evolution strategy; quadratic interpolated beetle antennae search algorithm; and a novel variable step-size Levenberg-Marquardt algorithm - which can effectively enhance robot positioning accuracy. In addition, it is exceedingly difficult for experts in other fields to conduct robot arm calibration studies without calibration data. Thus, this book provides a publicly available dataset to assist researchers from other fields in conducting calibration experiments and validating their ideas. The book also discusses six regularization schemes based on its robot error models, i.e., L1, L2, dropout, elastic, log, and swish. Robots' positioning accuracy is significantly improved after calibration. Using the control and calibration methods developed here, readers will be ready to conduct their own research and experiments.

ISBN: 9789819957668

Standard No.: 10.1007/978-981-99-5766-8doiSubjects--Topical Terms:

667305
Robots
--Control systems.

LC Class. No.: TJ211.35

Dewey Class. No.: 629.892

Robot control and calibration = innovative control schemes and calibration algorithms /
LDR:03103nmm a2200361 a 4500 001 2334475
003 DE-He213
005 20230925190149.0
006 m d
007 cr nn 008maaau
008 240402s2023 si s 0 eng d
020 $a 9789819957668 $q (electronic bk.)
020 $a 9789819957651 $q (paper)
024 7 $a 10.1007/978-981-99-5766-8 $2 doi
035 $a 978-981-99-5766-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ211.35
072 7 $a TJFM1 $2 bicssc
072 7 $a UYQ $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
072 7 $a UYQ $2 thema
082 0 4 $a 629.892 $2 23
090 $a TJ211.35 $b .R666 2023
245 0 0 $a Robot control and calibration $h [electronic resource] : $b innovative control schemes and calibration algorithms / $c by Xin Luo ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xi, 125 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a Chapter 1. Introduction -- Chapter 2. A Novel Model Predictive Control Scheme Based on an Improved Newton Algorithm -- Chapter 3. A Novel Recurrent Neural Network for Robot Control -- Chapter 4. A Projected Zeroing Neural Network Model for the Motion Generation and Control -- Chapter 5. A Regularization Ensemble Based on Levenberg-Marquardt Algorithm for Robot Calibration -- Chapter 6. Novel Evolutionary Computing Algorithms for Robot Calibration -- Chapter 7. A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm -- Chapter 8. Conclusion and Future Work.
520 $a This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. Moreover, the book develops four advanced algorithms for robot calibration - Levenberg-Marquarelt with diversified regularizations; improved covariance matrix adaptive evolution strategy; quadratic interpolated beetle antennae search algorithm; and a novel variable step-size Levenberg-Marquardt algorithm - which can effectively enhance robot positioning accuracy. In addition, it is exceedingly difficult for experts in other fields to conduct robot arm calibration studies without calibration data. Thus, this book provides a publicly available dataset to assist researchers from other fields in conducting calibration experiments and validating their ideas. The book also discusses six regularization schemes based on its robot error models, i.e., L1, L2, dropout, elastic, log, and swish. Robots' positioning accuracy is significantly improved after calibration. Using the control and calibration methods developed here, readers will be ready to conduct their own research and experiments.
650 0 $a Robots $x Control systems. $3 667305
650 0 $a Robots $x Calibration. $3 3666069
650 1 4 $a Robotics. $3 519753
650 2 4 $a Data Science. $3 3538937
650 2 4 $a Robotic Engineering. $3 3592865
700 1 $a Luo, Xin. $3 3426712
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u https://doi.org/10.1007/978-981-99-5766-8
950 $a Computer Science (SpringerNature-11645)