Michigan State University professors Xiaobo Tan and Elena Litchman are developing robots that swim like fish to explore underwater environments. “Fish are very efficient,” Tan says. “They can perform very efficient locomotion and maneuvering in the water.” Robotic fish could be used to collect precise data on aquatic conditions. “The robotic fish will be providing a consistent level of data that hasn’t been possible before,” Litchman says. “Such data are essential for researchers to have a more complete picture of what is happening under the surface as climate change and other outside forces disrupt the freshwater ecosystems.” The robotic fish will contain sensors to monitor temperature, dissolved oxygen, pollutants, and algae. Tan is also developing electronics so the devices can navigate and communicate underwater. To mimic how fish swim, Tan developed fins for the robotic fish that use electro-active polymers that change shape when exposed to electricity. Similar to actual muscle tissue, ion movements twist and bend when voltage is applied to the polymer. The effect also works in reverse, which would allow for slender “feelers” to signal maneuvering circuits, creating an electro-active central nervous system. The robotic fish will wirelessly communicate with a docking station after surfacing at programmed intervals, and could be linked with other robotic fish for coordinating maneuvers or a single relay.
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