Mode Prediction and Adaptation for a Six-Wheeled Mobile Robot Capable of Curb-Crossing in Urban Environments

Mode Prediction and Adaptation for a Six-Wheeled Mobile Robot Capable of Curb-Crossing in Urban Environments

Wheeled mobile robots have a significant role in the mobility industry. When outdoor mobile robots perform given tasks in urban environments, they often face the challenge of climbing and descending curbs. Many commercial mobile robots rely on ramps to navigate curbs. However, for outdoor mobile rob...

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Bibliographic Details
Main Authors: Dong Yeop Kim, Tae-Keun Kim, Keunhwan Kim, Jung-Hoon Hwang, Euntai Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Bayesian fusion
bogie suspension
curb
deep learning
mobile robot
navigation
Online Access:https://ieeexplore.ieee.org/document/10744006/
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https://ieeexplore.ieee.org/document/10744006/

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