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Advances in Robotic Systems, Part 2 is the second of a companion set of two volumes on advances in robotic systems dynamics and control. This book comprises nine chapters, with the first focusing on kinesthetic feedback techniques in teleoperated systems. The succeeding chapters then delve into topics such as parallel algorithms and fault-tolerant reconfigurable architecture for robot kinematics and dynamics computations; trajectory planning for robot control; and a control systems perspective. Other chapters cover simplified techniques for adaptive control of robotic systems; theory and applications of configuration control for redundant manipulators; nonlinear feedback for force control of robot manipulators; systolic architectures for dynamic control of manipulators; inverse dynamics; and forward dynamics. This book will be of interest to practitioners in the fields of computer science, systems science, and mathematics.
Robotics plays a pivotal role in many domains such as industry and medicine. Robots allow for increased safety, production rates, accuracy, and quality; however, robots must be well designed and controlled to achieve the required performance. The design and control of robotics involve many varying disciplines, such as mechanical engineering, electronics, and automation, and must be further studied to ensure the technology is utilized appropriately. Design and Control Advances in Robotics considers the most recent applications and design advances in robotics and highlights the latest developments and applications within the field of robotics. Covering key topics such as deep learning, machine learning, programming, automation, and control advances, this reference work is ideal for engineers, computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students.
This book discusses the advancements in artificial intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts – part A discusses introduction to artificial intelligence and machine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics.
This book presents the latest algorithmic developments in the cell-mapping method for the global analysis of nonlinear dynamic systems, global solutions for multi-objective optimization problems, and global solutions for zeros of complex algebraic equations. It also discusses related engineering and scientific applications, including the nonlinear design of structures for better vibration resistance and reliability; multi-objective, structural-acoustic design for sound abatement; optimal multi-objective design of airfoils for better lift; and optimal multi-objective design of linear and nonlinear controls with or without time delay. The first book on the subject to include extensive Matlab and C++ codes, it presents various implementation algorithms of the cell-mapping method, enabling readers to understand how the method works and its programming aspects. A link to the codes on the Springer website will be provided to the readers.
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.