Summary Draft 2

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In the article, “Soft robotic arm...” (2020), Matheson described Ryan Truby, a postdoc in the MIT Computer Science and Artificial Laboratory. Truby, along with other MIT researchers have empowered a malleable robotic arm to operate by utilizing motion and data in 3D environment with its own sensorized skin. 

Matheson mentioned about Truby's opinions, whereby soft robots are more advantageous compared to traditional rigid design due to its infinite number of movements at any time, and also uses its own flexible sensors to receive feedbacks for control instead of vision system to provide feedbacks. Along with the limitation in the control applications and train planning process due to its infinite number of movements in soft robot. In the article, Matheson also depicted Truby's statement with regards to the researchers' future aim, using the soft robotic arm "to orient and control themselves automatically, to pick things up and interact with the world"(Ryan Truby,n.d,Paragraph 6) as well as, to progress onto artificial limbs that can dexterously control in the environment.

Even though the soft sensor are unable to capture precise movements, it still provides as a stepping stone for machine learning in soft robotics control, enabling the experts to explore improved sensitivity and develop new models.

Matheson, R (2020, 16 Feb). SOFT ROBOTIC ARM 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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