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Class Projects

See below for highlights of project-based classes during Undergraduate and Graduate studies at Columbia University.

Robotics Studio-Fall 2023

Automated Bipedal Walking Robot

Designed, built, and programmed an automated bipedal robot that could walk. Worked in a two-person team.  Responsible for kinematic planning, industrial design of a detailed 3D model, manufacturing of all parts, wiring/setting up electronics, programming the robot to run headlessly, and fine-tuning the walking motion. 

Robotics Studio

Robotics Studio

Robotics Studio
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Sai Robot Final Video

Sai Robot Final Video

02:38
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Machine Design - Fall 2022 

Automated Robotics Linkage Mechanism

Worked in a team to design, build, and control a complex linkage mechanism that quickly pressed arcade buttons in a randomly-generated sequence.  Responsible for kinematic planning, 3D modeling, manufacturing linkage components, wiring, sensor usage, signal processing, transmission design, control system tuning, and actuation.

Machine Design

Machine Design

Machine Design
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Machine Design

Machine Design

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Digital Manufacturing-Spring 2023

Programming Based Manufacturing Projects

Focused on digitally-controlled manufacturing processes that converted computer models into physical objects. Topics included: additive manufacturing processes, CNC, sheet cutting processes, numerical control, generative and algorithmic design, topology optimization, broader social, economic, legal and business implications of digital manufacturing. Worked individually and in two-person teams for five projects.

Senior Design - Fall 2022 & Spring 2023

Engineering Concept Design and Prototyping

A two-semester course culminating in a capstone project. The first semester focused on identifying a need-based problem.  The steps included ideation techniques, developing problem choices, conducting interviews, developing solutions, and creating a low-fidelity proof-of-concept prototype. The second semester focused on building and refining the prototype.  The steps included creating a low-fidelity prototype, and refining the prototype through multiple iterations.  Design choices were supported via analysis and engineering standards. Presented progress frequently over the course of both semesters.

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