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Modeling, Optimization and Control of Robotic Systems
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This Special Issue reprint delves into the dynamic world of robotic systems, offering a comprehensive exploration of the latest advancements in modeling, optimization, and control. Robotics has emerged as a transformative field with applications spanning from industrial automation to healthcare and beyond. In this collection, leading researchers and practitioners present their cutting-edge work, shedding light on the intricate processes involved in designing, optimizing, and controlling robotic systems. From intricate mathematical models that capture the complex dynamics of robotic manipulators to innovative optimization techniques that enhance efficiency and performance, each contribution in this reprint offers valuable insights into the state-of-the-art methodologies shaping the future of robotics. The interdisciplinary nature of the field is highlighted, with discussions spanning areas such as mechanical design, electrical engineering, computer science, and artificial intelligence. Readers will find a diverse array of topics covered, including trajectory planning for autonomous vehicles, learning-based control strategies for humanoid robots, adaptive control algorithms for flexible manipulators, and many more. Through a blend of theoretical analysis, practical applications, and experimental validation, this reprint provides a comprehensive overview of the latest trends and challenges in the field of robotic systems.
This book is included in DOAB.
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Keywords
- actuator faults
- contour error compensation
- coverage path planing
- COVID-19
- deformable
- Digital twin
- disinfection robot
- disturbance rejection control
- dynamic model
- elasticity compensation
- electromechanical coupling dynamic
- extended flexible joint model
- extended reality
- extensible control framework
- fast nonsingular terminal sliding mode
- fault tolerant control
- feedforward control
- five-DOF robot arm
- fixed-time sliding mode control
- fuzzy control
- genetic algorithm
- improved salp swarm algorithm
- industrial robot manipulator
- Lyapunov theorem
- manipulator
- metaverse
- minimum–maximum rule
- motion characteristic
- nonlinear disturbance observer (NDOB)
- nonminimum-phase system
- novel multi-power reaching law
- parallel network
- PCR-SMC controller
- pipeline inspection
- RBF neural network
- robot machining system
- Robotic arm
- robotic grinding system
- robotic manipulators
- robotics
- setpoint control
- spiral pipe robot
- thema EDItEUR::U Computing and Information Technology
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- thin-walled workpiece
- time optimization
- trajectory planning
- Trajectory Tracking
- two-wheeled inverted pendulum
- uncertainty compensation
- underactuated system
- vibration control
- virtual prototyping technology
- water-mobile robot
Links
DOI: 10.3390/books978-3-7258-1236-3Editions