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Critical Reflection

 This post is dedicated to module MEC 1281, Effective Communications. Knowing that English language has never been my strong suit, I was extremely nervous of what this module has installed for us. Looking back the past 13 weeks, this module had been valuable and enriching. The initial goals were to improve on my writing ability, sentence structures and oral presentation skills. Countless opportunities were given to us in class by Professor Brad. We were often told to read off sentences or paragraphs flashed on the screen. This allows us to improve on our oral presentation skills on areas such as tonality, appropriate volume and pronunciations. Ultimately, we were tasked to perform an oral presentation for our research project. I have always been a bad public speaker, due to the fact that I experience stage fright in front of a large crowd. Constant stuttering and the usage of filler words are prominent in past oral presentations prior to this. It is through practising and knowing the m
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Design and Summary Analysis Draft 4

  MEC 1281 Summary_Analysis By Chin Yong Sheng 8 th April 2021 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 lack refinement to accurately capture subtle and dynamic motions.   Matheson mentioned that there are two advantages the soft robot has 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. Matheson quotes one of the researchers Dr Truby, who states that "The sensors can be fabricated using off-the shelf materials"(Matheson,2020). Dr.Truby also commented that the sensors are easy to fabricate, meaning any lab would be able to construct their
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Design and Summary Analysis Draft 3

  MEC 1281 Summary_Analysis Draft #3 By Chin Yong Sheng 21 st Feb 2021 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 lack refinement to accurately capture subtle and dynamic motions.   There are two advantages the soft robot has 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. "The sensors can be fabricated using off-the shelf materials"(Truby,n.d,Para 5). Dr.Truby commented that the sensors are easy to fabricate, meaning any lab will be able to construct their owns sensor. Dr.Truby also highlighted that the materials used for constructing t
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Design and Summary Analysis 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 lack refinement to accurately capture subtle and dynamic motions.   There are two advantages the soft robot has 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. "The sensors can be fabricated using off-the shelf materials"(Truby,n.d,Para 5). Dr.Truby commented that the sensors are easy to fabricate, meaning any lab will be able to construct their owns sensor. Dr.Truby also highlighted that the materials used for constructing the sensor should possess "piezoresistive" properties. The mat
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Design and Summary Analysis 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. However, the sensors and neural network still lack refinement to accurately capture subtle and dynamic motions.   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. "The sensors can be fabricated using off-the shelf materials"(Ryan Truby,n.d,Paragraph 5). Dr.Truby commented that the sensors are easy to fabricate, meaning any lab will be able to construct their owns sensor. Dr.Truby also highlighted that the materials used for constructing the sensor should possess "piezoresistive" properties. T
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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 prov
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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
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