Cargando…
Multimodal intelligent logistics robot combining 3D CNN, LSTM, and visual SLAM for path planning and control
INTRODUCTION: In today's dynamic logistics landscape, the role of intelligent robots is paramount for enhancing efficiency, reducing costs, and ensuring safety. Traditional path planning methods often struggle to adapt to changing environments, resulting in issues like collisions and conflicts....
Autor principal: | Han, Zhuqin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613672/ https://www.ncbi.nlm.nih.gov/pubmed/37908407 http://dx.doi.org/10.3389/fnbot.2023.1285673 |
Ejemplares similares
-
Path Planning and Motion Control of Indoor Mobile Robot under Exploration-Based SLAM (e-SLAM)
por: Roy, Rohit, et al.
Publicado: (2023) -
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
por: Shoeibi, Afshin, et al.
Publicado: (2021) -
Intelligent automatic sleep staging model based on CNN and LSTM
por: Zhuang, Lan, et al.
Publicado: (2022) -
Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023) -
Research on obstacle avoidance optimization and path planning of autonomous vehicles based on attention mechanism combined with multimodal information decision-making thoughts of robots
por: Wu, Xuejin, et al.
Publicado: (2023)