Human and environmental feature-driven neural network for path-constrained robot navigation using deep reinforcement learning

Article

Abstract: This paper introduces a neural network model designed for autonomous navigation in complex environme

Palabras claves:

Autonomous robot navigation, Motion and path planning, Path constraint, reinforcement learning

Autores:

Alisher Amirbek, Auh E., Babar Jamil, Estrella Montero, Jeon J., Manuel S. Alvarez-Alvarado, Moon H., Nabih Pico, Redhwan Algabri

Fuentes:

orcid

scopus