Guangmin Dai
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Guangmin Dai has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Dixia Fan
Westlake University
2 shared publications Botao He
Department of Computer Science, University of Maryland, College Park, MD, USA
1 shared publication- Dehan Yuan
School of Environment and Resource, Zhejiang University 1 , Hangzhou, Zhejiang 310058
1 shared publication - Jiaxi Zheng
School of Engineering, Westlake University, Hangzhou, Zhejiang, China
1 shared publication - Linlin Kang
Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, China
1 shared publication - Mingming Ge
Sustainable Energy Technology and Management, Beijing Normal-Hong Kong Baptist University, Zhuhai 519087, China
1 shared publication
Latest Publications
- 17 February 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Robotics and Automation Letters
- Vol. 10 (4) , 3534-3541
RS-ModCubes: Self-Reconfigurable, Scalable, Modular Cubic Robots for Underwater Operations
This paper introduces a reconfigurable underwater robot system, RS-ModCubes, which allows scalable multi-robot configurations. An RS-ModCubes system comprises multiple ModCube modules, that can travel underwater with 6 DoFs and assemble with each other into a larger structure with onboard electromagnets. This system is designed to explore the feasibility of modularity and reconfigurability in underwater robotics, eliminating the need to customize mechanical designs for a specific task. We develop a modeling framework for reconfigurable robot systems, incorporating hydrodynamic effects via Monte Carlo approximation. A model-based feedforward A model-based feedforward Proportional Derivative (PD) controller serves as the baseline for control. Inspired by dexterous manipulation, we evaluated the robot's maximum task wrench space and power efficiency, compared against four commercial underwater robots. RS-ModCubes is validated via both real-world experiments and simulations, including individual and multi-module trajectory tracking and hovering docking. We open-source the design and code to facilitate future research: https://jiaxi-zheng.github.io/ModCube.github.io/.
- 17 February 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Robotics and Automation Letters
- Vol. 10 (4) , 3534-3541
RS-ModCubes: Self-Reconfigurable, Scalable, Modular Cubic Robots for Underwater Operations
This paper introduces a reconfigurable underwater robot system, RS-ModCubes, which allows scalable multi-robot configurations. An RS-ModCubes system comprises multiple ModCube modules, that can travel underwater with 6 DoFs and assemble with each other into a larger structure with onboard electromagnets. This system is designed to explore the feasibility of modularity and reconfigurability in underwater robotics, eliminating the need to customize mechanical designs for a specific task. We develop a modeling framework for reconfigurable robot systems, incorporating hydrodynamic effects via Monte Carlo approximation. A model-based feedforward A model-based feedforward Proportional Derivative (PD) controller serves as the baseline for control. Inspired by dexterous manipulation, we evaluated the robot's maximum task wrench space and power efficiency, compared against four commercial underwater robots. RS-ModCubes is validated via both real-world experiments and simulations, including individual and multi-module trajectory tracking and hovering docking. We open-source the design and code to facilitate future research: https://jiaxi-zheng.github.io/ModCube.github.io/.
- 21 November 2024
- Published by Elsevier in Ocean Engineering
- Vol. 315
Force decomposition of vortex–plate interaction via dynamic mode decomposition
- 21 November 2024
- Published by Elsevier in Ocean Engineering
- Vol. 315
Force decomposition of vortex–plate interaction via dynamic mode decomposition