Dongle Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Dongle Liu has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Chunyan Gao
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
1 shared publication - Manhong Li
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
1 shared publication - Minglu Zhang
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
1 shared publication - Yuan Tao
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
1 shared publication - Zhang Minglu Shi Yusheng
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
1 shared publication
Latest Publications
- Open Access
- 2 December 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (23) , 12348
Analysis of Motion Characteristics and Stability of Mobile Robot Based on a Transformable Wheel Mechanism
In this research, we propose a novel wheel-legged mobile robot to address the problems of insufficient obstacle-crossing performance and poor motion flexibility of mobile robots in non-structural environments. Firstly, we designed the transformable wheel mechanism and tail adaptive mechanism. Secondly, the kinematic model of the robot is established and solved by analyzing the whole motion and wheel-legged switching motion for the operation requirements under different road conditions. By synthesizing the constraint relationships among the modules and analyzing the robot’s obstacle-crossing abilities, we systematically established the mechanical model of the robot when it encounters obstacles. Thirdly, we studied the stability of the robot based on the stable cone method in the case of slope and unilateral transformation wheel deployment and achieved the tipping condition in the critical state. Finally, we used ADAMS software to simulate and analyze the driving process of the robot in various types of terrain and obstacles in order to verify that it has superior performance through obstacles and motion flexibility. The analysis shows that the robot can passively adapt to various complex and variable obstacle-filled terrains with obstacle heights which are much higher than its center of gravity range. The results of the study can provide a reference for the structural optimization and the obstacle-crossing performance improvement of mobile robots.
- 2 December 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (23) , 12348
Open AccessAnalysis of Motion Characteristics and Stability of Mobile Robot Based on a Transformable Wheel Mechanism
In this research, we propose a novel wheel-legged mobile robot to address the problems of insufficient obstacle-crossing performance and poor motion flexibility of mobile robots in non-structural environments. Firstly, we designed the transformable wheel mechanism and tail adaptive mechanism. Secondly, the kinematic model of the robot is established and solved by analyzing the whole motion and wheel-legged switching motion for the operation requirements under different road conditions. By synthesizing the constraint relationships among the modules and analyzing the robot’s obstacle-crossing abilities, we systematically established the mechanical model of the robot when it encounters obstacles. Thirdly, we studied the stability of the robot based on the stable cone method in the case of slope and unilateral transformation wheel deployment and achieved the tipping condition in the critical state. Finally, we used ADAMS software to simulate and analyze the driving process of the robot in various types of terrain and obstacles in order to verify that it has superior performance through obstacles and motion flexibility. The analysis shows that the robot can passively adapt to various complex and variable obstacle-filled terrains with obstacle heights which are much higher than its center of gravity range. The results of the study can provide a reference for the structural optimization and the obstacle-crossing performance improvement of mobile robots.