98%
921
2 minutes
20
Solar-driven water evaporation is a promising solution for global water scarcity but is still facing challenges due to its substantial energy requirements. Here, a magnetic soft robotic bionic fish is developed by combining magnetic nanoparticles (FeO), poly(N-isopropylacrylamide), and carboxymethyl chitosan. This bionic fish can release liquid water through hydrophilic/hydrophobic phase transition and dramatically reduce energy consumption. The introduced FeO nanoparticles endow the bionic fish with magnetic actuation capability, allowing for remote operation and recovery. Additionally, the magnetic actuation process accelerates the water absorption rate of the bionic fish as confirmed by the finite element simulations. The results demonstrate that bionic fish can effectively remove not only organic molecular dyes dissolved in water but also harmful microbes and insoluble microparticles from natural lakes. Moreover, the bionic fish maintains a good purification efficiency even after five recycling cycles. Furthermore, the bionic fish possesses other functions, such as salt purification and salt rejection. Finally, the mechanism of water purification is explained in conjunction with molecular dynamics calculations. This work provides a new approach for efficient solar-energy water purification by phase transition behavior in soft robotics.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/smtd.202400880 | DOI Listing |
ACS Appl Mater Interfaces
September 2025
College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China.
During the long course of evolution, fish have developed complex skin structures to adapt to the dynamic aquatic environment. These skin features not only reflect optimal adaptation to the aquatic environment but also play a key role in effectively reducing fluid drag and improving swimming efficiency, to reveal the intrinsic connection between the complex skin structure of fish and drag reduction performance and to provide new design ideas for the drag reduction surface of underwater vehicles. Based on the different drag reduction characteristics of fish skin structures, this paper divides existing biomimetic drag reduction technologies into three categories: riblet drag reduction, flexible drag reduction, and composite drag reduction.
View Article and Find Full Text PDFBiomimetics (Basel)
August 2025
The Laboratory of Cognitive and Decision Intelligence for Complex System, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Fault-tolerant control for bionic robotic fish presents significant challenges due to the complex dynamics and asymmetric propulsion introduced by joint failures. To address this issue, this paper proposes a fault-tolerant following control framework for multi-joint bionic robotic fish by combining fuzzy control methodologies and dynamic model correction. Firstly, offline fault analysis is conducted based on the dynamic model under multi-variable parameter conditions, quantitatively deriving influence factor functions that characterize the effects of different joint faults on velocity and yaw performance of the robotic fish.
View Article and Find Full Text PDFBiomimetics (Basel)
July 2025
School of Information and Communication Engineering, Hainan University, Haikou 570228, China.
This paper presents a bionic dual-fin underwater robot, inspired by the ocean sunfish, that achieves multiple swimming motions using only two vertically arranged fins. This work demonstrates that a mechanically simple platform can execute complex 2-D and 3-D motions through advanced control strategies, eliminating the need for auxiliary actuators. We control the two fins independently so that they can perform cooperative actions in the water, enabling the robot to perform various motions, including high-speed cruising, agile turning, controlled descents, proactive ascents, and continuous spiraling.
View Article and Find Full Text PDFCurrent biological behavior models only take the external environment information as the basis for decision-making, ignoring the internal emotional state information. A memristor-based cerebellar model articulation controller (CMAC) neural network circuit of artificial fish behavioral decision is designed, and fuzzy emotion is taken into account. The designed circuit is mainly composed of voltage selection modules, fuzzy processing modules, synaptic neuron modules, eigen quantity modules and feedback modules.
View Article and Find Full Text PDFSci Rep
August 2025
Ocean and Fisheries Development International Cooperation Institute, College of Fisheries Science, Pukyong National University, Busan, 48513, Republic of Korea.
The systematics and conservation management of the Red pandora (Pagellus bellottii) remain challenging due to the overlapping morphology and distributions with closely related congeners in the Eastern Atlantic Ocean and Mediterranean Sea. These challenges are further exacerbated by population declines driven by intensive coastal fisheries and a paucity of molecular data. In this study, high-throughput sequencing was utilized to assemble the first complete mitogenome of P.
View Article and Find Full Text PDF