Description
Path Planning for Vehicles Operating in Uncertain 2D Environments
Language: English
Subjects for Path Planning for Vehicles Operating in Uncertain 2D...:
Keywords
A-algorithm; Artificial intelligence; Behavior; Bifurcation parameter; Bionic neural-networking planner; Convolutional neural network; Coordination; Decision-making scheme; Distance vector histogram; DVH method; DVH-NN planner; Environment; Fuzzy logic; Gaussian function; Genetic algorithms; Graph; Imitation modeling; Kinematic and dynamic qualities; Line structure of neural-like elements; Mapping; Memory-less search algorithms; Modeling; Motion controller; Motion planner; Mu lambda algorithm; Neural-like structures; Optimal graph search; Partial definition; Planner for visual path planning; Planner; Potential function; Repeller; Safe shortest path; Simulation; Solid body model; Stationary obstacles; Unstable mode; Virtual field; Virtual goal point; Voronoi diagram; Wheeled vehicle
Support: Print on demand
Description
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Path Planning for Vehicles Operating in Uncertain 2D-environments presents a survey that includes several path planning methods developed using fuzzy logic, grapho-analytical search, neural networks, and neural-like structures, procedures of genetic search, and unstable motion modes.
1. Position-Path Control of a Vehicle2. Neural Networking Path Planning Based on Neural-Like Structures3. Vehicles Fuzzy Control Under the Conditions of Uncertainty4. Genetic Algorithms Path Planning5. Graphic-Analytical Approaches to Vehicle's Motion Planning6. Motion Planning and Control Using Bionic Approaches Based on Unstable Modes
Scientists working in the area of system analysis, robotics and control systems; Vehicle control systems designers; Developers of control systems and algorithms for robotic complexes; post-graduate and graduate students studying robotics, control systems, mechatronics and preparing their theses
- Presents a survey of accounting limitations imposed by vehicle dynamics
- Proposes modified and new original methods, including neural networking, grapho-analytical, and nature-inspired
- Gives tools for a novice researcher to select a method that would suit their needs or help to synthesize new hybrid methods
