Differential-Driven Wheeled Mobile Robot Mechanism With High Step-Climbing Ability

Differential-driven wheeled mobile robots, such as logistics robots and mobile manipulators, are used for various tasks on flat ground. These differential-driven wheeled mobile robots are highly environmentally constrained when driven on flat ground. This study proposes a differential-driven wheeled mobile mechanism of the robot with high step-climbing ability and the capability to navigate narrow paths. This work shows that the novel wheel and differential-driven module improve the ability to climb stairs through the transfer of center of mass (C.O.M). A sub-wheel connected to the passive joint of the wheel is used to convert the drive into a vertical force to improve the mobile robot's ability to climb high stairs. By pitching the body of the wheel-powered robot through the advanced reaction force, the ability to climb stairs in reverse using the reaction force of the wall is improved. Furthermore, the proposed mechanism enables precise control of the robot's path, allowing it to effectively navigate narrow spaces. The prototype robot was tested for climbing stairs and high steps, as well as climbing a deformable slope while climbing obstacles. Even if the center of mass is located in the driving direction, this result uses a novel wheel to overcome the step in the front wheel and improve the overcoming performance of the rear wheel owing to the center-of-mass position in the driving direction. We expect that this method will be applicable to various differential-driven wheeled mobile robot mechanisms, especially for environments with confined spaces.

Authors

Institutions

Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-01-29
DOI
https://doi.org/10.1109/lra.2025.3534681
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
2.55
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differential-Driven Wheeled Mobile Robot Mechanism With High Step-Climbing Ability

TaeWon Seo, T.H. Kim, Woo‐Jae Lee, Jeongeun Kim
2 citations
IEEE Robotics and Automation Letters
Robotic Path Planning Algorithms
2.55
article

Differential-Driven Wheeled Mobile Robot Mechanism With High Step-Climbing Ability

TaeWon Seo, T.H. Kim, Woo‐Jae Lee, Jeongeun Kim
article en
2 citations

Abstract

Differential-driven wheeled mobile robots, such as logistics robots and mobile manipulators, are used for various tasks on flat ground. These differential-driven wheeled mobile robots are highly environmentally constrained when driven on flat ground. This study proposes a differential-driven wheeled mobile mechanism of the robot with high step-climbing ability and the capability to navigate narrow paths. This work shows that the novel wheel and differential-driven module improve the ability to climb stairs through the transfer of center of mass (C.O.M). A sub-wheel connected to the passive joint of the wheel is used to convert the drive into a vertical force to improve the mobile robot's ability to climb high stairs. By pitching the body of the wheel-powered robot through the advanced reaction force, the ability to climb stairs in reverse using the reaction force of the wall is improved. Furthermore, the proposed mechanism enables precise control of the robot's path, allowing it to effectively navigate narrow spaces. The prototype robot was tested for climbing stairs and high steps, as well as climbing a deformable slope while climbing obstacles. Even if the center of mass is located in the driving direction, this result uses a novel wheel to overcome the step in the front wheel and improve the overcoming performance of the rear wheel owing to the center-of-mass position in the driving direction. We expect that this method will be applicable to various differential-driven wheeled mobile robot mechanisms, especially for environments with confined spaces.

IEEE Robotics and Automation LettersVol. 10(3)
Hyundai Research Institute (KR), Hanyang University (KR), Hyundai Motors (South Korea) (KR)
Openalex Percentile: Top 13%
Robotic Path Planning Algorithms
2.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Differential-Driven Wheeled Mobile Robot Mechanism With High Step-Climbing Ability — TaeWon Seo, T.H. Kim, et al. · IEEE Robotics and Automation Letters (2025) | TGRS Research Map | TGRS