Efficient Path Planing for Articulated Vehicles in Cluttered Environments

Efficient Path Planing for Articulated Vehicles in Cluttered Environments

Motion planning and control for articulated logistic vehicles such as tugger trains is a challenging problem in service robotics. The case of tugger trains presents particular difficulties due to the kinematic complexity of these multiarticulated vehicles. Sampling-based motion planners offer a moti...

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Bibliographic Details
Main Authors: Ricardo Samaniego, Rodrigo Rodríguez, Fernando Vázquez, Joaquín López
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
autonomous robot navigation
mobile robot control
motion planning
articulated vehicles
Online Access:https://www.mdpi.com/1424-8220/20/23/6821

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