Path Planning for Vehicles Operating in Uncertain 2D Environments

Erscheinungsjahr 2017
ISBN: 978-0-12-812305-8
Verlag: Elsevier - Health Sciences Division

Buch, Englisch, 312 Seiten, Format (B × H): 228 mm x 151 mm, Gewicht: 498 g

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.

Zielgruppe

<p>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</p>

Autoren/Hrsg.

Pshikhopov, Viacheslav

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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

Über Autor(innen)

Pshikhopov, Viacheslav
Director of Research and Development Institute of Robotics and Control Systems of Southern Federal University. Head of the Robotics and Intelligent Systems Laboratory