Flexible Robot Sneaks into Small Spaces for Mapping, Inspections
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Researchers from Worcester Polytechnic Institute (WPI) have developed a flexible robot that can sneak into small spaces for mapping and inspections. The robot, which is inspired by lizards, is made of soft materials and can deform its body to fit through tight openings.
The robot is equipped with cameras and sensors that allow it to collect data about its surroundings. It can also be used to deliver payloads, such as medical supplies or tools, to remote locations.
The WPI robot has the potential to revolutionize the way we inspect and map infrastructure, such as bridges, tunnels, and pipelines. It can also be used to explore hazardous environments, such as collapsed buildings or disaster zones.
How the Flexible Robot Can be Used with Machine Learning:
The flexible robot from WPI can be used with machine learning to improve its mapping and inspection capabilities. For example, machine learning can be used to train the robot to identify specific objects or features in its environment. This information can then be used to create detailed maps or to identify potential problems. #engineering
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Machine learning can also be used to control the robot's movements. For example, machine learning can be used to develop algorithms that allow the robot to navigate through complex or dangerous environments.
Overall, the combination of flexible robots and machine learning has the potential to revolutionize the way we inspect and map our world.
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