Reports

Full report on the final design for Noti, a virtual leash that can be used to keep track of and prevent your 6 year old child from wandering away from you in a large crowd. In the report, we explored the different faucets of the product design process through idea generation, hardware development, wearable device research, prototyping, market analysis, and design reviews with product development specialists. As Technical Lead, I primarily focused on developing the wristband technology and software necessary to achieve 10 foot radius position tracking inside an aesthetically pleasing device.

Full report on analyzing the jumping dynamics of shooting a basketball. New players to the game of basketball become naturally better through years of experience. This study, conducted under the supervision of MIT Meche Professor Rohit Karnik in fall 2019, demonstrates the exact numerical values associated with specific body movements when shooting a basketball. Future players of basketball can utilize these measuring techniques to hone in on their optimal shooting movements. Click here to access the Project Poster.

Full report on the final design for the yoyo . Inside you will find details about the CAD design, the manufacturing considerations regarding injection molding and thermoforming, as well as large scale factory production analysis. Securing the appropriate product licenses is the final step before this product reaches the production line. Click here to access the full Project Website, where you can find the entire engineering process for the yoyo from start to finish.

Full report on determining the plausibility of using at-home fabrication techniques to create robots suitable to compete in a competition. MIT's 2.007 Mechanical Engineering course will likely be taught completely online, but due to the build-intensive nature of the course regularly, a new method of teaching students basic machine shop fabrication techniques is needed. This report lays the groundwork for finding these new instruction methods in the coming months of fall 2020, with hopes to develop a fully online 2.007 by spring 2021.

Full report on determining the optimal controller design for an inverted pendulum system on wheels. Contrived spring 2019, we utilize state space controllers and PID controllers to determine the most effective method of keeping the inverted pendulum in a steady state as the cart travels along a path. Using the Butterworth configuration in MATLAB analyses, we reached optimal gain control.