國立高雄大學圖資館 |

登入

回首頁

Robotic intelligent assembly

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Robotic intelligent assemblyby Jing Xu ... [et al.].
其他作者:	Xu, Jing.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xvi, 233 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Robots, Industrial.
電子資源:	https://doi.org/10.1007/978-981-96-2657-1
ISBN:	9789819626571$q(electronic bk.)

Robotic intelligent assembly
Robotic intelligent assembly[electronic resource] /by Jing Xu ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvi, 233 p. :ill. (some col.), digital ;24 cm. - Research on intelligent manufacturing,2523-3394. - Research on intelligent manufacturing..

Introduction -- Model based strategies -- Implementation -- Learning based strategies theoretical Analysis -- Learning based Implementation -- Conclusion.

This book explores peg-in-hole assembly strategies to study robotic intelligent assembly. It presents several state-of-the-art principles for peg-in-hole assembly strategies, supported by experimental evidence. In pursuit of theoretical innovation, the author summarizes their research on robotic intelligent assembly over the past decade, highlighting the limitations of model-based algorithms in complex assembly environments and the importance of data efficiency for learning-based algorithms. Each algorithm is supported by extensive experimentation and results demonstrating its effectiveness. A review of research ideas provides readers with a comprehensive understanding of the progress made in this field. This monograph is intended for undergraduate and postgraduate students interested in robotic intelligent assembly, researchers studying robotic intelligent assembly algorithms, and electronic, mechanical, and computer engineers engaged in industrial robot-assisted assembly.

ISBN: 9789819626571$q(electronic bk.)

Standard No.: 10.1007/978-981-96-2657-1doiSubjects--Topical Terms:

267734
Robots, Industrial.

LC Class. No.: TS191.8

Dewey Class. No.: 670.4272

Robotic intelligent assembly
LDR:02246nmm a2200361 a 4500 001 678038
003 DE-He213
005 20250520130239.0
006 m d
007 cr nn 008maaau
008 251021s2025 si s 0 eng d
020 $a 9789819626571$q(electronic bk.)
020 $a 9789819626564$q(paper)
024 7 $a 10.1007/978-981-96-2657-1 $2 doi
035 $a 978-981-96-2657-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TS191.8
072 7 $a TJF $2 bicssc
072 7 $a TGB $2 bicssc
072 7 $a TEC009070 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a TGB $2 thema
082 0 4 $a 670.4272 $2 23
090 $a TS191.8 $b .R666 2025
245 0 0 $a Robotic intelligent assembly $h [electronic resource] / $c by Jing Xu ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xvi, 233 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Research on intelligent manufacturing, $x 2523-3394
505 0 $a Introduction -- Model based strategies -- Implementation -- Learning based strategies theoretical Analysis -- Learning based Implementation -- Conclusion.
520 $a This book explores peg-in-hole assembly strategies to study robotic intelligent assembly. It presents several state-of-the-art principles for peg-in-hole assembly strategies, supported by experimental evidence. In pursuit of theoretical innovation, the author summarizes their research on robotic intelligent assembly over the past decade, highlighting the limitations of model-based algorithms in complex assembly environments and the importance of data efficiency for learning-based algorithms. Each algorithm is supported by extensive experimentation and results demonstrating its effectiveness. A review of research ideas provides readers with a comprehensive understanding of the progress made in this field. This monograph is intended for undergraduate and postgraduate students interested in robotic intelligent assembly, researchers studying robotic intelligent assembly algorithms, and electronic, mechanical, and computer engineers engaged in industrial robot-assisted assembly.
650 0 $a Robots, Industrial. $3 267734
650 1 4 $a Mechatronics. $3 189824
650 2 4 $a Electronic Circuits and Systems. $3 913394
650 2 4 $a Energy Harvesting. $3 557545
650 2 4 $a Multibody Systems and Mechanical Vibrations. $3 922041
700 1 $a Xu, Jing. $3 991486
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Research on intelligent manufacturing. $3 809662
856 4 0 $u https://doi.org/10.1007/978-981-96-2657-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)