Summary Draft 1

 According to the article, "Soft robotic arm..." (2020), researchers from MIT constructed a soft robot that is capable of estimating its 3D configuration through its skin that is covered with sensors. Feedbacks received from the sensors are used to provide estimation for it's 3D configuration.

There are two advantages the soft robot have over traditional rigid robots. Due to its soft body, it has the ability to move in infinite number of ways at any time. Secondly, it does not require additional feedback from other equipment. 

However, it's ability to move without restriction resulted in increased difficulty to use it in "control" applications. In order to alleviate this problem, new robots have to undergo deep learning. Doing so, the robot will progressively be more effective in capturing meaningful feedback signals. 

Lastly, the researchers aim to use better sensors and provide better deep learning methods in order to reduce the training time. 

 References:

1. Rob.M.(2020). Soft robotic arm uses flexible sensors to understand its position.

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



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