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Advanced Intelligent Control in Robots
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Advanced intelligent control is a rapidly developing, complex and challenging field with significant practical importance and potential applications. The authors aim to stimulate advancements in science and technology by addressing this field and presenting new trends in the design, control and applications of real-time intelligent sensor system control using advanced intelligent control methods and techniques. The purpose of the Special Issue is to promote in-depth research and communication regarding these topics. The authors focus on innovative multi-sensor fusion techniques integrated into robots, which are combined with computer vision, virtual and augmented reality (VR&AR) and intelligent communication including remote control, adaptive sensor networks and human–robot (H2R) interaction systems. Special attention is given to advancements in sensors, actuators, computation technology and communication networks that provide the necessary tools for implementing intelligent control hardware. These advancements are targeted toward various scientific research fields, including machine learning (such as deep learning), bio-inspired algorithms, recurrent neural networks, neuro-fuzzy control and artificial intelligence in general. The Special Issue includes original research papers that report on the recent advancements in intelligent control using intelligent sensors. It serves as a further extension of the previously successful Special Issue, “Advanced Intelligent Control through Versatile Intelligent Portable Platforms”.
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Keywords
- active strength training
- admittance control
- advanced intelligent control
- arbitrary order sliding mode
- arc welding
- artificial intelligence
- ArUco
- biomedical EMG signal processing
- change of running direction
- co-regulation
- collision avoidance strategy
- collision detection
- collision-free
- compliance control
- Computer science
- Computer vision
- Computing & information technology
- continuous passive motion
- decision method
- deep LSTM
- deep neural network
- drone
- dual-manipulator system
- dynamic model
- Economics, finance, business & management
- encoder-decoder bidirectional LSTM deep neural networks
- extension set
- fault-tolerant control
- feature analysis
- feedback scheduling
- feedforward control
- finite-time systems
- GJK algorithm
- GMDH neural networks
- group of drones
- hand disability
- human arm viscoelastic
- human joint angle measurement
- human–robot interaction
- hybrid position/force control
- indirect neural approximation
- Industry
- Industry & industrial studies
- Information technology industries
- integrated attitude and position control
- internal logistics
- iomt-stacked convolutional neural networks
- local path planner
- lower limb rehabilitation robot
- Lyapunov analysis
- Machine learning
- machine vision
- manufacturing
- many-to-many time series forecasting
- markers
- mechanically thrown objects
- Media, information & communication industries
- Mobile Health
- mobile manipulator
- Mobile Robot
- Model Predictive Control
- monocular vision
- Motion Planning
- MOTOmed
- multi-agent
- multi-camera simulation
- n/a
- networked system
- neural adaptive control
- neutrosophic logic
- nonlinear intelligent control
- nonlinear system
- object pick-and-place
- path analysis
- path planning
- path smoothing
- probabilistic roadmap algorithm
- pseudo-random sampling
- quadruped robot
- Rapidly-exploring Random Tree (RRT)
- real-time trajectory prediction
- rehabilitation robot
- remote control and communication
- resource-aware control
- robot manipulator
- robot operating system (ROS)
- robotics
- robotics control
- Robust control
- ROS
- self-collision detection
- sEMG
- Sensor Systems
- sensors
- simulation
- simulation analysis
- simultaneous control
- Sliding mode control
- smart manufacturing systems
- smart vehicle
- spacecraft proximity operations
- stability index system
- straight leg raise
- stroke monitoring
- support vector regression
- surface roughness
- task redundancy
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- time-varying system
- training mode
- Trajectory Tracking
- UAV
- visual detection method
- wheeled–legged
- wire + arc additive manufacturing
Links
DOI: 10.3390/books978-3-0365-8149-1Editions