Motion Planning of Autonomous Mobile Robot Using Recurrent Fuzzy Neural Network Trained by Extended Kalman Filter

This paper proposes a novel motion planning method for an autonomous ground mobile robot to address dynamic surroundings, nonlinear program, and robust optimization problems. A planner based on the recurrent fuzzy neural network (RFNN) is designed to program trajectory and motion of mobile robots to...

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Detalles Bibliográficos
Autores principales: Zhu, Qidan, Han, Yu, Liu, Peng, Xiao, Yao, Lu, Peng, Cai, Chengtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378056/
https://www.ncbi.nlm.nih.gov/pubmed/30863434
http://dx.doi.org/10.1155/2019/1934575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378056/
https://www.ncbi.nlm.nih.gov/pubmed/30863434
http://dx.doi.org/10.1155/2019/1934575

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