Force-Controlled Robotic Assembly Processes of Rigid and Flexible Objects: Methodologies and Applications, Ghalyan Ibrahim Fahad Jasim

Автор: Ibrahim Fahad Jasim Ghalyan
Название: Force-Controlled Robotic Assembly Processes of Rigid and Flexible Objects
ISBN: 3319391844 ISBN-13(EAN): 9783319391847
Издательство: Springer
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Цена: 13677.00 р.
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Описание: This book provides comprehensive and integrated approaches for rigid and flexible object assembly. Further, it includes experimental validations for different assembly situations, including those for the assembly of industrial parts taken from the automotive industry.

Автор: Yin, Yuehong
Название: Biomechanical principles on force generation and control of skeletal muscle and their applications in robotic exoskeleton
ISBN: 0367343983 ISBN-13(EAN): 9780367343989
Издательство: Taylor&Francis
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Описание: This book covers three aspects: skeletal muscle force generation principle and biomechanical model, exoskeleton robot technology based on skeletal muscle biomechanical model, and SMA based bionic skeletal muscle technology.

Автор: Khalid Karam Abd
Название: Intelligent Scheduling of Robotic Flexible Assembly Cells
ISBN: 3319387367 ISBN-13(EAN): 9783319387369
Издательство: Springer
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Цена: 12537.00 р.
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Описание: Background and Research Scope.- Literature Review and Research Objectives.- Development of an Intelligent Methodology for Scheduling RFAC.- Case Study 1: Application of the Developed Methodology Using Fuzzy Logic and Simulation.- Simulation Modelling and Analysis of Dynamic Scheduling in RFAC.- Development of an Optimization Approach for Dynamic Scheduling Problems in RFAC.- Case Study 2: Application of Hybrid Fuzzy MCDM Approach to Optimize Dynamic Scheduling in RFAC.- Conclusions and Recommendations for Further Work.

Автор: Khalid Karam Abd
Название: Intelligent Scheduling of Robotic Flexible Assembly Cells
ISBN: 3319262955 ISBN-13(EAN): 9783319262956
Издательство: Springer
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Цена: 14818.00 р.
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Описание: Background and Research Scope.- Literature Review and Research Objectives.- Development of an Intelligent Methodology for Scheduling RFAC.- Case Study 1: Application of the Developed Methodology Using Fuzzy Logic and Simulation.- Simulation Modelling and Analysis of Dynamic Scheduling in RFAC.- Development of an Optimization Approach for Dynamic Scheduling Problems in RFAC.- Case Study 2: Application of Hybrid Fuzzy MCDM Approach to Optimize Dynamic Scheduling in RFAC.- Conclusions and Recommendations for Further Work.