Mobile Robots Navigation, Control and Sensing
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2025Beskrivning: 1 electronic resource (604 p.)Innehållstyp: - text
- computer
- online resource
- 9783725833870
- 9783725833887
- Technology, Engineering, Agriculture, Industrial processes
- Technology: general issues
- History of engineering and technology
- 3D coordinates
- B-spline
- Bézier
- C-legged hexapod
- CDPR
- Caenorhabditis elegans
- GNSS
- Gaussian noise
- LiDAR
- Lyapunov stability theory
- MCDPR
- Nomoto
- PPO
- ROS
- SMASS
- SOM neural networks
- UAV
- acoustic sensors
- active disturbance rejection control
- artificial potential fields
- autonomous mobile robot
- autonomous search
- autonomous vehicle
- autonomous vehicle navigation
- autonomous vehicles
- bio-inspired model
- bionic eyes
- body–eye–head coordination
- calibration
- chemotaxis
- collision avoidance
- control tuning
- convex optimization
- dataset
- decision-making
- deep reinforcement learning
- depth cameras
- differential flatness
- driftless control
- dynamics
- environmental conditions
- error adaptive tracking
- extended state observer
- forestry robotics
- fractional control
- gaze point approaching
- gaze point tracking
- genetic algorithms
- global path planning
- human–robot interaction
- illumination
- imaging sensors
- inertial measurement unit
- information fusion
- kinematics modeling
- large language models
- laser triangulation
- local path planning
- mobile robot
- mobile r
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Navigation is one of the main challenges in robotics. Different technologies and strategies are involved, such as sensing, positioning, mapping, approaching, tracking, formation, control, communication, human interfaces, and learning. The aim of this Special Issue is to contribute to the state-of-the-art and current applications of robot navigation. Typical areas of interest include the following: development of robotics and sensors designed to be utilized within any radiological environment; perception, stand-alone, and cooperative approaches; SLAM; map-based, landmark-based, and beacon-based navigations (2D and 3D); data fusion for mobile robot navigation; wireless sensor networks for mobile robot navigation; network control systems; robot formation and tracking; adaptive robot navigation and control; biologically inspired robot navigation; path planning; applications of mobile robot navigation; genetic algorithms for mobile robot navigation; and tracking algorithms.
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eng
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