Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach
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Beschreibung
In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents.
In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents.
Summarizes the recent progresses of the management of articulated agents, intelligent decision-making algorithm, and smart mechanical designs Provides comprehensive theoretical and experimental results along with detailed discussion on different factors affecting the performance Explains simulation and fabrication of experimental platforms in detail to make the results easily replicable for interested readers
Autor*in
Ameer Hamza Khan
Themen in »Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach«
Articulated Agents Recurrent Neural Network Optimal Control Metaheuristic Optimization Soft Robots Nature-inspired Algorithm Dynamic Control Model-free Control