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Zhang C, He Z, He X, Shen W, Dong L. The modularization design and autonomous motion control of a new baby stroller. Front Hum Neurosci 2022; 16:1000382. [PMID: 36248687 PMCID: PMC9562475 DOI: 10.3389/fnhum.2022.1000382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/02/2022] [Indexed: 11/13/2022] Open
Abstract
The increasing number of newborns has stimulated the infant market. In particular, the baby stroller, serving as an important life partner for both babies and parents, has attracted more attention from society. Stroller design and functionality are of vital importance to babies' physiological and psychological health as well as brain development. Therefore, in this paper, we propose a modularization design method for the novel four-wheeled baby stroller based on the KANO model to ensure the mechanical safety and involve more functionalities. Manual control of the baby stroller requires the rapid response of human motor systems in a completely controlled manner, which could be a potential risk. To enhance the safety and stability of the stroller motion, especially in situations where manual control is hard to achieve (e.g., sharp turns), we propose an autonomous motion control scheme based on model predictive control. Both the modularization design and the motion controller are verified in the MATLAB simulation environment through path tracking tasks. The feasibility is validated by the satisfactory experimental results with lateral position error in a reasonable range and good trajectory smoothness.
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Affiliation(s)
- Chunhong Zhang
- School of Art and Design, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China
| | - Zhuoting He
- School of Art and Design, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China
| | - Xiaotong He
- Weihai Institute for Bionics, Jilin Univerisity, Weihai, China
| | - Weifeng Shen
- College of Building Engineering, Xiamen City University, Xiamen, China
- *Correspondence: Weifeng Shen
| | - Lin Dong
- Center on Frontiers of Computing Studies, Peking University, Beijing, China
- Lin Dong
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