Wei Yan

Good day! My name is Wei Yan, and I am writing this final critical reflection with regards to my experience and opinion throughout the 13 weeks for the module ME1281 Effective communication. The initial goals set by myself was to improve on speaking skills, writing skills and ultimately, to be an effective communicator. I am extremely satisfied and happy to say that my hard work and efforts have paid off, enabling myself to present more confidently along with better writing skills. It was a huge improvement since the first lesson whereas I have to interact with other peers in the class during the ice-breaking activities as well as pairing up with other peers to work on the writing skill which includes paraphrasing and citations. With the guidance and assistance from Professor Brad, sufficient opportunities were given to allow students to speak up during the face-to-face classes which is a very good practice for students to improve on their oral skills and written skills.  For the mock

Soft Robotic Arm uses flexible sensors to understand its position  MEC 1281 Summary Analysis Draft #4 By Sim Wei Yan 4th Feb 2021 In the article, “Soft robotic arm...” (2020), Matheson described Ryan Truby, a postdoc in the MIT Computer Science and Artificial Laboratory, empowering a malleable robotic arm to operate by utilizing motion and data in 3D environment with its own sensorized skin. Matheson mentioned Truby's opinion that soft robot are more advantageous compared to traditional rigid design. This is due to their infinite number of movements at any time and how the soft robot uses their own flexible sensors for control instead of vision system to provide feedback. However, this creates limitation in the control application and planning process due to the infinite numbers of movement. Using of the soft robotic arm to orient and control themselves automatically, to pick things up and interact with the world (Truby, 2020, para 6.) as well as, to progress onto artificial limbs

Soft Robotic Arm uses flexible sensors to understand its position MEC 1281 Summary_Analysis Draft #3 By Sim Wei Yan 21 st Feb 2021 In the article, “Soft robotic arm...”  (2020), Matheson described Ryan Truby, a postdoc in the MIT Computer Science and Artificial Laboratory. Truby, empowering 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. This is due to its infinite number of movements at any time and uses its own flexible sensors to receive feedbacks for control instead of vision system to provide feedbacks. Therefore, it creates a 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 o

  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 Tru

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

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 Trub

In this article, “Soft robotic arm ...”  (2020),  MIT experts have empowered a malleable robotic arm that resemble like an “elephant trunk” to comprehend its design in 3D space by utilizing just movement and position information from its “sensorized” skin.  The structure of the robotic arm is validated by the experts whereby it can anticipate its position as it swings around and extends.  The robotic arm’s configuration is melded with sensors to create a profound neural network to do most of the labor work by filtering noise to apprehend the useful feedback signals. “We want to use these soft robotic trunks, for instance, to orient and control themselves automatically, to pick things up and interact with the world”, claimed by the experts.  The article also mentioned, the expert's future goal is to progress onto "artificial limbs that can dexterously" control and operate in the environment. References: Rob, M. (2020). Soft robotic arm uses flexible sensors to understand i