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    With climate change and overfishing threatening our oceans, it is becoming increasingly important for researchers to closely observe and check sea animals and plants. However, it's almost impossible to make it since human presence scares the animals. Now, thanks to the robot, aka SoFi, researchers may be able to solve the problem.

    Built by MIT's laboratory, the snow-white remote-controlled robotsimulatesfish, complete with a flexible tail that moves from side to side and two "fins(鳍)".

    When the robot is under the sea, a motor is pumping water into a pair of balloon-like rooms located in the robot's tail. These rooms operate similarly to the key parts in engines. As one room expands, the tail bends to one side; when the motor pushes water to the other channel, the tail bends in the other direction. Thus the robot gains the ability to move to where it wants to go.

    SoFi solves many of the issues that have affected the usefulness of previous robots — some types of autonomous underwater vehicles (AUVs)

    AUVs traditionally often have had to be tied to a boat because radio frequency communications do not work well underwater. So researchers use sound waves. The new technology can travel greater distances, allowing drivers, by using a controller, to pilot SoFi from up to 50 feet away. SoFi can move around the ocean, unaffected by ropes. Also limiting traditional AUVs' usefulness is the risk of hitting something, like hard stones. With the outside made of rubber and plastic that can keep its built-in electronics dry, SoFi can efficiently avoid hitting. So a soft robot is more likely to survive a potential crisis.

    During test dives in Rainbow Reef, SoFi swam alongside the unsuspecting ocean life at depths of 50 feet for up to 40 minutes at a time, obtaining high-quality photos and videos. More importantly, it was able to do so without causing any disturbance. Researchers say sometimes the fish would swim alongside the strange-looking robot in curiosity, while at other times they appeared to completely ignore its existence. "It's not perfect, but we're improving it. Our efforts will pay off," says Robert Katzschmann.

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