Summary 2nd Draft

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According to the article, “Soft Robotic Arm…” (2020), Massachusetts Institute of Technology (MIT) researchers have developed a soft robot that can know its position in a 3D environment that uses its sensorized skin.

Soft robots have an own advantageous compared to the traditional rigid design. Due to its infinite number of movement that the soft robots able to make at any time is having its flexible sensors. It does not rely on cameras to provide feedback which is unideal for actual soft robot applications.

Soft robots have its ability to have an infinite number of movements due to that it has its limitation in the “control”. MIT researchers built a neural network that able to do away with most of the heavy lifting by filtering out the noise to capture useful feedback signals. Now MIT researchers have developed a new type of soft robots that reduces the number of variables needed for their latest model to process.

Soft robots have able to have infinite number of movement due to the design it is need a neural network for control.


Matheson, R. (2020, February 16) soft robotic arm uses flexible sensors to understand its position.

Retrieved from www.controleng.com/articles/soft-robotic-arm-uses-flexible-sensors-to-understand-its-position/


Edited (11/2/21)


According to the article, “Soft Robotic Arm…” (2020), Massachusetts Institute of Technology (MIT) researchers have developed a soft robot that can know its position in a 3D environment that uses its sensorized skin.

Soft robots have advantage compared to robots with the traditional rigid design. Because of its infinite number of movements that the soft robots are able to make at any time it needs a flexible sensor. They do not rely on cameras to provide feedback which is unideal for actual soft robot applications.

Soft robots have its ability to have an infinite number of movements due to that it has its limitation in the “control”. MIT researchers built a neural network that is able to do away with most of the heavy lifting by filtering out the noise to capture useful feedback signals. Now MIT researchers have developed a new type of soft robots that reduces the number of variables needed for their latest model to process. Soft robots need more testing in real-world environments to have a final design.

Matheson, R. (2020, February 16). Soft Robotic Arm Uses Flexible Sensors To Understand Its Position control engineering.

Retrieved from www.controleng.com/articles/soft-robotic-arm-uses-flexible-sensors-to-understand-its-position/

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