Hi, I'm Aedan Bingham!

Robotics enthusiast, finance wiz, and lifelong learner. Welcome to my corner of the internet!

See My Projects Get In Touch

// About Me

Person

Hey there! I'm a robotics enthusiast and finance wiz who loves building things that move, think, listen, and can model the past to predict the future.

When I'm not tinkering with motors and microcontrollers, you'll find me exploring new tech, dreaming up my next project, and scrubbing data for correlations.

I'm passionate about the intersection of hardware and software — as the world gets evermore complex there is a growing necessity for people who know both, and there's nothing quite like watching a machine you built come to life for the first time!

I started this journey in Central Montana, am stopped in Worcester Massachusetts, and plan to go global in the future.

// Education

B.S. in Robotics Engineering
Worcester Polytechnic Institute
2024 – 2027 · GPA: 3.96
Relevant Coursework
Sensing and Perception · Mechanical Applications in Robotics · Statics · Linear Algebra · Probability · Advanced Calculus · ECE · Astrophysics
B.S. in Economic Sciences
Worcester Polytechnic Institute
2024 – 2026 · GPA: 4.00
Relevant Coursework
Econometrics · Statistics · International Trade · Game Theory · System Dynamics Modeling
Certifications & Awards
Dean's List
A/B terms 2024, C/D terms 2025, A/B terms 2025 · WPI
Charles O. Thompson Scholar
2025 · WPI
Golden Flame Finalist (top 1% of graduates)
2024 · CMR HS
Promoting Excellence in Education Scholar
2024 · CMR HS
WPI Seal

// Robotics Projects

Package Transport Romi robot with scissor lift and gripper
Package Transport Romi

A Romi chassis and homemade 3-DOF manipulator with 1 mm precision. Mechanically, a scissor lift is used for z-axis control, a rack and pinion for the y-axis, and gripper in the x-axis. The software is integrated with forward and inverse kinematics. On the ECE side, a simple breadboard setup is implemented with a buck converter to handle three servos.

PololuPythonKinematicsCAD
BattleBots

Custom designed and fabricated both the Fairyweight and Antweight classes. These Battlebots combine both sophisticated CAD skills with redundant electronics to achieve maximum survivability.

Advanced CAD100% RedneckFEA - Stress Analysis
CBF Theory Advantages
Control Barrier Functions

Control Barrier Functions essentially serve to enforce safety properties while optimizing computations in the face of constraints utilizing quadratic programing. On the other hand, Model Predictive Control minimizes a cost function for a system, satisfying present constraints while taking a finite horizon into account. Yet, this approach has considerable trouble when complexity increases. This is why CBFs are best used as a substitute or compliment to MPC.

ModelingMathematical AlgorithmsSafety Theory

// Research

Behavioral Economics
2024 – present · WPI
This research explores the financial and economic literacy of college students, identifying critical gaps in their understanding of essential financial tools and long-term wealth-building strategies. Through rigorous analysis, dominant themes and psychological biases emerged.
Paper (What WPI Students Know about Personal Finance) · Poster
Political Polarization in America
2024 – present · Independent
I investigate what political polarization is, its effects, and solutions to combat the ever-pressing issue.
Presentation-GFPL 2024 · Slides (Political Polarization: Remedies and Generational Effects)
Modern Market Theory
2023 – 2024 · CMR HS
We researched the health, defining qualities, and unseen influences on the worlds' markets. In Chicago, Billings, and Great Falls we presented our findings and competed at the national level for Business Professionals of America.
Paper (The 21st Century's Ubiquitous Market Transition)
Side Quests
Experimental Economics
We hypothesized on how group size and intent affects responder behavior using the ultimate game. For example, if we have a pool of $10, one proposer, and one responder, how will the responder respond to an offer of $8 for the proposer and $2 for responder? Using historical data and the concepts of reciprocity and inequity aversion, we hypothesize that the larger the number of respondents, the lower the acceptance price of offers. As well, if the proposer has no intent (i.e. they randomly choose how to divide the pool of money) the responder will be more likely to accept an offer. One interesting note is that contrary to what game theory predicts, responders can be expected to reject the Nash equilibrium if the smallest offer even if it is above zero.
Coming
Soon