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Wang X, Lin D, Zhou Y, Jiao N, Tung S, Liu L. Multistimuli-Responsive Hydroplaning Superhydrophobic Microrobots with Programmable Motion and Multifunctional Applications. ACS NANO 2022; 16:14895-14906. [PMID: 36067035 DOI: 10.1021/acsnano.2c05783] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Superhydrophobic microrobots that can swim efficiently and rapidly on water under the action of external stimuli have attracted significant research attention for various applications. However, most studies on superhydrophobic microrobots have focused on single-stimulus driving modes, which limit the motion and functional applications of microrobots in complex aquatic environments. Therefore, multistimuli-responsive superhydrophobic microrobots that are capable of drifting rapidly on water through light, magnetic, and chemical control were developed in this study. The stability and environmental adaptability of the microrobots were systematically investigated. The microrobots achieved programmable trajectory motion on water, particularly complex motions such as circular, spiral, and helical movements under the coupled influence of chemical and magnetic fields. Importantly, the motion and control of multimicrorobots can be realized by combining control methods. Under the action of light and magnetic field, multimicrorobots could realize cooperative movement and completed the transportation of cargo. Additionally, broad multifunctional applications of the microrobots were explored in terms of oil spill recovery and solution mix. This study provides a method for the preparation and development of superhydrophobic microrobots with multistimuli-responsive characteristics.
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Affiliation(s)
- Xiaodong Wang
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Daojing Lin
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuting Zhou
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Niandong Jiao
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
| | - Steve Tung
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, Arkansas 72701, United States
| | - Lianqing Liu
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
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Soto F, Karshalev E, Zhang F, Esteban Fernandez de Avila B, Nourhani A, Wang J. Smart Materials for Microrobots. Chem Rev 2021; 122:5365-5403. [DOI: 10.1021/acs.chemrev.0c00999] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Fernando Soto
- Department of Nanoengineering, Chemical Engineering Program and Contextual Robotics Institute, University of California San Diego, La Jolla, California 92093, United States
| | - Emil Karshalev
- Department of Nanoengineering, Chemical Engineering Program and Contextual Robotics Institute, University of California San Diego, La Jolla, California 92093, United States
| | - Fangyu Zhang
- Department of Nanoengineering, Chemical Engineering Program and Contextual Robotics Institute, University of California San Diego, La Jolla, California 92093, United States
| | - Berta Esteban Fernandez de Avila
- Department of Nanoengineering, Chemical Engineering Program and Contextual Robotics Institute, University of California San Diego, La Jolla, California 92093, United States
| | - Amir Nourhani
- Department of Mechanical Engineering, Department of Mathematics, Biology, Biomimicry Research and Innovation Center, University of Akron, Akron, Ohio 44325, United States
| | - Joseph Wang
- Department of Nanoengineering, Chemical Engineering Program and Contextual Robotics Institute, University of California San Diego, La Jolla, California 92093, United States
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