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230811 ||| eng |
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|a books978-3-0365-8149-1
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|a 9783036581484
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|a 9783036581491
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| 100 |
1 |
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|a Vladareanu, Luige
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| 245 |
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|a Advanced Intelligent Control in Robots
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (452 p.)
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| 653 |
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|a surface roughness
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| 653 |
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|a robotics control
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|a machine learning
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|a probabilistic roadmap algorithm
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| 653 |
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|a Lyapunov analysis
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| 653 |
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|a pseudo-random sampling
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| 653 |
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|a time-varying system
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| 653 |
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|a arc welding
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|a multi-agent
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|a local path planner
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| 653 |
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|a mobile manipulator
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| 653 |
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|a training mode
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| 653 |
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|a rapidly-exploring random tree (RRT)
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| 653 |
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|a active strength training
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| 653 |
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|a GJK algorithm
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| 653 |
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|a collision avoidance strategy
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| 653 |
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|a motion planning
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| 653 |
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|a lower limb rehabilitation robot
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| 653 |
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|a Deep LSTM
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| 653 |
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|a spacecraft proximity operations
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| 653 |
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|a internal logistics
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| 653 |
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|a Information technology industries / bicssc
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| 653 |
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|a robust control
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| 653 |
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|a group of drones
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| 653 |
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|a path planning
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|a mechanically thrown objects
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| 653 |
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|a mobile health
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|a change of running direction
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| 653 |
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|a manufacturing
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| 653 |
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|a UAV
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| 653 |
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|a robot operating system (ROS)
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| 653 |
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|a human joint angle measurement
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| 653 |
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|a many-to-many time series forecasting
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| 653 |
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|a compliance control
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| 653 |
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|a computer vision
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| 653 |
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|a nonlinear system
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| 653 |
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|a simultaneous control
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|a arbitrary order sliding mode
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| 653 |
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|a visual detection method
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| 653 |
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|a collision-free
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|a networked system
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| 653 |
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|a feedback scheduling
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| 653 |
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|a trajectory tracking
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| 653 |
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|a simulation analysis
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| 653 |
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|a robotics
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| 653 |
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|a straight leg raise
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| 653 |
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|a collision detection
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| 653 |
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|a GMDH neural networks
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| 653 |
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|a markers
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| 653 |
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|a feedforward control
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| 653 |
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|a biomedical EMG signal processing
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| 653 |
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|a extension set
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| 653 |
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|a machine vision
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| 653 |
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|a hand disability
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| 653 |
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|a decision method
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| 653 |
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|a mobile robot
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| 653 |
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|a admittance control
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| 653 |
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|a real-time trajectory prediction
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| 653 |
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|a rehabilitation robot
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| 653 |
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|a smart manufacturing systems
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| 653 |
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|a dual-manipulator system
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| 653 |
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|a path smoothing
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| 653 |
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|a n/a
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| 653 |
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|a stability index system
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| 653 |
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|a neural adaptive control
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| 653 |
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|a resource-aware control
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| 653 |
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|a wire + arc additive manufacturing
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| 653 |
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|a feature analysis
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| 653 |
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|a integrated attitude and position control
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| 653 |
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|a multi-camera simulation
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| 653 |
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|a deep neural network
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| 653 |
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|a path analysis
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| 653 |
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|a finite-time systems
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| 653 |
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|a simulation
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| 653 |
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|a ROS
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| 653 |
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|a neutrosophic logic
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| 653 |
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|a sensor systems
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| 653 |
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|a stroke monitoring
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| 653 |
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|a wheeled-legged
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| 653 |
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|a nonlinear intelligent control
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| 653 |
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|a encoder-decoder bidirectional LSTM deep neural networks
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| 653 |
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|a smart vehicle
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| 653 |
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|a model predictive control
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| 653 |
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|a indirect neural approximation
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| 653 |
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|a object pick-and-place
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| 653 |
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|a human arm viscoelastic
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| 653 |
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|a task redundancy
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| 653 |
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|a Computer science / bicssc
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| 653 |
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|a support vector regression
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| 653 |
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|a advanced intelligent control
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| 653 |
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|a quadruped robot
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| 653 |
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|a fault-tolerant control
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| 653 |
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|a remote control and communication
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| 653 |
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|a industry
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| 653 |
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|a drone
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| 653 |
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|a artificial intelligence
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| 653 |
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|a sensors
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| 653 |
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|a hybrid position/force control
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| 653 |
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|a co-regulation
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| 653 |
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|a dynamic model
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| 653 |
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|a monocular vision
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| 653 |
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|a robot manipulator
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| 653 |
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|a sliding mode control
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| 653 |
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|a iomt-stacked convolutional neural networks
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| 653 |
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|a MOTOmed
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| 653 |
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|a self-collision detection
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| 653 |
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|a continuous passive motion
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| 653 |
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|a human-robot interaction
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| 653 |
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|a ArUco
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| 653 |
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|a sEMG
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| 700 |
1 |
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|a Yu, Hongnian
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| 700 |
1 |
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|a Wang, Hongbo
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| 700 |
1 |
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|a Feng, Yongfei
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
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|a 10.3390/books978-3-0365-8149-1
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| 856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/7605
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
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|u https://directory.doabooks.org/handle/20.500.12854/112490
|z DOAB: description of the publication
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|a 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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