Summary Draft 2

 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. However, the sensors and neural network still lacks refinement to accurately capture subtle and dynamics motion.  

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 rely on motion-capture cameras to provide feedback regarding 3D movement and positions. Instead, it relies on its own sensors.

However, its ability to move without restriction resulted in increased difficulty to use it in "control" applications. 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. Researchers also aim to utilize better sensors to provide better deep learning methods to reduce training time.

 While the soft robotic arm is more suitable than traditional robot in real-life scenarios, technology has yet to be refined. Researchers are looking into ways to increase the efficiency of the soft robotic arm.

 References:

Matheson,R.(2020, February 16). Soft robotic arms uses flexible sensors to understand its position. Control Engineering. https://www.controleng.com/articles/soft-robotic-arm-uses-flexible-sensors-to-understand-its-position/

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