大葉大學圖書館 |

Artificial intelligence for future generation robotics[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	629.89263
書名/作者:	Artificial intelligence for future generation robotics/ edited by Rabindra Nath Shaw ... [et al.].
其他作者:	Shaw, Rabindra Nath,
出版者:	San Diego : : Elsevier,, 2021.
面頁冊數:	1 online resource (xv, 162 p.) : : ill. (some col.)
標題:	Robotics.
標題:	Artificial intelligence.
標題:	Artificial Intelligence.
ISBN:	9780323857994 (electronic bk.)
ISBN:	9780323854986
內容註:	Front Cover -- Artificial Intelligence for Future Generation Robotics -- Copyright Page -- Contents -- List of contributors -- About the editors -- Preface -- 1. Robotic process automation with increasing productivity and improving product quality using artificial intelligence and ... -- 1.1 Introduction -- 1.2 Related work -- 1.3 Proposed work -- 1.4 Proposed model -- 1.4.1 System component -- 1.4.2 Effective collaboration -- 1.5 Manufacturing systems -- 1.6 Results analysis -- 1.7 Conclusions and future work -- References.
摘要、提要註:	Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. Brings AI and smart robotics into imaginative, technically-informed dialogue Integrates fundamentals with real-world applications Presents potential applications for AI in smart robotics by use- case Gives detailed theory and mathematical calculations for each application Stimulates new thinking and research in applying AI to robotics.
電子資源:	https://www.sciencedirect.com/science/book/9780323854986

Artificial intelligence for future generation robotics[electronic resource] /
Artificial intelligence for future generation robotics[electronic resource] /edited by Rabindra Nath Shaw ... [et al.]. - San Diego :Elsevier,2021. - 1 online resource (xv, 162 p.) :ill. (some col.)

Front Cover -- Artificial Intelligence for Future Generation Robotics -- Copyright Page -- Contents -- List of contributors -- About the editors -- Preface -- 1. Robotic process automation with increasing productivity and improving product quality using artificial intelligence and ... -- 1.1 Introduction -- 1.2 Related work -- 1.3 Proposed work -- 1.4 Proposed model -- 1.4.1 System component -- 1.4.2 Effective collaboration -- 1.5 Manufacturing systems -- 1.6 Results analysis -- 1.7 Conclusions and future work -- References.

Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. Brings AI and smart robotics into imaginative, technically-informed dialogue Integrates fundamentals with real-world applications Presents potential applications for AI in smart robotics by use- case Gives detailed theory and mathematical calculations for each application Stimulates new thinking and research in applying AI to robotics.

ISBN: 9780323857994 (electronic bk.)Subjects--Topical Terms:

175953
Robotics.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: TJ211 / .A78 2021

Dewey Class. No.: 629.89263

Artificial intelligence for future generation robotics[electronic resource] /
LDR:04840cmm a2200289 a 4500 001 522952
006 m o d
007 cr |n|||||||||
008 230416s2021 cau o 000 0 eng d
019 $a 1257480635 $a 1287879714
020 $a 9780323857994 (electronic bk.)
020 $a 9780323854986
035 $a (OCoLC)1257665859 $z (OCoLC)1257480635 $z (OCoLC)1287879714
035 $a 1257665859
040 $a EBLCP $b eng $c EBLCP $d YDX $d OPELS $d OCLCO $d OCLCF $d N$T $d OCLCO $d OCLCQ $d ORMDA
041 0 $a eng
050 4 $a TJ211 $b .A78 2021
082 0 4 $a 629.89263 $2 23
245 0 0 $a Artificial intelligence for future generation robotics $h [electronic resource] / $c edited by Rabindra Nath Shaw ... [et al.].
260 $a San Diego : $b Elsevier, $c 2021.
300 $a 1 online resource (xv, 162 p.) : $b ill. (some col.)
505 0 $a Front Cover -- Artificial Intelligence for Future Generation Robotics -- Copyright Page -- Contents -- List of contributors -- About the editors -- Preface -- 1. Robotic process automation with increasing productivity and improving product quality using artificial intelligence and ... -- 1.1 Introduction -- 1.2 Related work -- 1.3 Proposed work -- 1.4 Proposed model -- 1.4.1 System component -- 1.4.2 Effective collaboration -- 1.5 Manufacturing systems -- 1.6 Results analysis -- 1.7 Conclusions and future work -- References.
505 8 $a 2. Inverse kinematics analysis of 7-degree of freedom welding and drilling robot using artificial intelligence techniques -- 2.1 Introduction -- 2.2 Literature review -- 2.3 Modeling and design -- 2.3.1 Fitness function -- 2.3.2 Particle swarm optimization -- 2.3.3 Firefly algorithm -- 2.3.4 Proposed algorithm -- 2.4 Results and discussions -- 2.5 Conclusions and future work -- References -- 3. Vibration-based diagnosis of defect embedded in inner raceway of ball bearing using 1D convolutional neural network -- 3.1 Introduction -- 3.2 2D CNN-a brief introduction.
505 8 $a 3.3 1D convolutional neural network -- 3.4 Statistical parameters for feature extraction -- 3.5 Dataset used -- 3.6 Results -- 3.7 Conclusion -- References -- 4. Single shot detection for detecting real-time flying objects for unmanned aerial vehicle -- 4.1 Introduction -- 4.2 Related work -- 4.2.1 Appearance-based methods -- 4.2.2 Motion- based methods -- 4.2.3 Hybrid methods -- 4.2.4 Single-step detectors -- 4.2.5 Two-step detectors/region-based detectors -- 4.3 Methodology -- 4.3.1 Model training -- 4.3.2 Evaluation metric -- 4.4 Results and discussions.
505 8 $a 4.4.1 For real-time flying objects from video -- 4.5 Conclusion -- References -- 5. Depression detection for elderly people using AI robotic systems leveraging the Nelder-Mead Method -- 5.1 Introduction -- 5.2 Background - - 5.3 Related work -- 5.4 Elderly people detect depression signs and symptoms -- 5.4.1 Causes of depression in older adults -- 5.4.2 Medical conditions that can cause elderly depression -- 5.4.3 Elderly depression as side effect of medication -- 5.4.4 Self-help for elderly depression -- 5.5 Proposed methodology -- 5.5.1 Proposed algorithm.
505 8 $a 5.5.2 Persistent monitoring for depression detection -- 5.5.3 Emergency monitoring -- 5.5.4 Personalized monitoring -- 5.5.5 Feature extraction -- 5.6 Result analysis -- References -- 6. Data heterogeneity mitigation in healthcare robotic systems leveraging the Nelder-Mead method -- 6.1 Introduction -- 6.1.1 Related work -- 6.1.2 Contributions -- 6.2 Data heterogeneity mitigation -- 6.2.1 Data preprocessing -- 6.2.2 Nelder-Mead method for mitigating data heterogeneity -- 6.3 LSTM-based classification of data -- 6.4 Experiments and results. 6.4.1 Data heterogeneity mitigation using Nelder-Mead method.
520 $a Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. Brings AI and smart robotics into imaginative, technically-informed dialogue Integrates fundamentals with real-world applications Presents potential applications for AI in smart robotics by use- case Gives detailed theory and mathematical calculations for each application Stimulates new thinking and research in applying AI to robotics.
650 0 $a Robotics. $3 175953
650 0 $a Artificial intelligence. $3 172060
650 2 $a Artificial Intelligence. $3 423269
655 4 $a Electronic books. $2 local $3 336502
700 1 $a Shaw, Rabindra Nath, $e editor. $3 748473
856 4 0 $u https://www.sciencedirect.com/science/book/9780323854986