2017
A Hybrid Method for Online Trajectory Planning of Mobile Robots in Cluttered Environments
Leobardo Emmanuel Campos-Macias, David Gómez-Gutiérrez, Rodrigo Aldana-Lopez, Rafael de la Guardia, Jose I. Parra-Vilchis
RA-L 2017
This paper presents a method for online trajectory planning in known environments. The proposed algorithm is a fusion of sampling-based techniques and model-based optimization via quadratic programming. The former is used to efficiently generate an obstacle-free path while the latter takes into acco