Bio-inspired and programmable Marangoni motor for highly maneuverable and adaptable S-aquabots
Mobility, environmental adaptability, and functionality are essential attributes of robots, but these become challenging for small-scale on-water robots, also referred to as S-aquabots. Herein, we propose a programmable Marangoni motor (PM-motor) to propel centimeter-scale S-aquabots with high maneuverability and adaptability. Lightweight, compact, flexible hybrid electronics are used to precisely release ethanol to achieve controllable propulsion, smart sensing, and wireless communication functions. The PM-motor utilizes the surface tension gradient generated by the ethanol, which is released from leaf-inspired veins and improves fuel efficiency by 3.5 times when compared with traditional Marangoni effect-propelled robots. As a result, the device’s endurance is up to ∼226 s for a navigation distance of ∼5 m with just 1.2 mL ethanol. Benefiting from the leaf-like shape and negligible noise production, the S-aquabots can also blend well with their surroundings. Autonomous response capability is demonstrated by guiding an S-aquabot with laser spots to complete a butterfly-shaped trajectory. Equipped with a mini-camera or digital sensors, untethered S-aquabots deployed on an outdoor pool can capture real-time videos or monitor long-term environmental conditions. This work is beneficial for inspiring insightful design strategies to develop S-aquabots with high practical potential. • S-aquabots with bio-inspired designs result in 3.5-fold better fuel utilization efficiency, can blend well with surroundings. • The trajectory of a moving S-aquabot can be precisely controlled using lightweight, compact, flexible hybrid electronics. • Untethered S-aquabots can transmit real-time video or detect long-term information about the surrounding environment.
Authors
- Junwen Zhong (ORCID: https://orcid.org/0000-0002-0232-1604)
- YongAn Huang (ORCID: https://orcid.org/0000-0001-7713-8380)
- Dazhe Zhao (ORCID: https://orcid.org/0000-0002-1377-166X)
- Xiao Guan (ORCID: https://orcid.org/0000-0003-4926-8510)
- Yexi Zhou
- Kai‐Jun Zhang (ORCID: https://orcid.org/0000-0003-3811-0259)
Institutions
- University of Macau (MO)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- eScience
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1016/j.esci.2024.100335
- Citations
- 6
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 1.87