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Robotics

Control systems, mechatronics, kinematics, and robot design — academic projects and STEM mentorship.

Projects

Advanced Mechatronics

NYU ROB-GY 6203 — mechatronic system design combining mechanical, electrical, and software engineering. Projects include Arduino-controlled propeller balancing, a line-following robot, and an autonomous surface vessel.

C/C++ Arduino Control Systems CAD Sensors NYU Coursework

LEGO SPIKE Prime Robotics Mentorship

Mentored middle-school scholars through a project-based robotics curriculum using LEGO SPIKE Prime kits. Covers line-following, ultrasonic obstacle avoidance, and a culminating car design project.

Python LEGO SPIKE Prime Mentorship STEM Education Sensors

Inverse Kinematics Presentation

Educational presentation on inverse kinematics concepts for robotic manipulators. Covers forward vs. inverse kinematics, Denavit-Hartenberg parameters, and analytical versus numerical solution methods.

Kinematics Robotic Manipulators D-H Parameters Presentation

Optimal & Learning Control for Robotics

Coursework from NYU ROB-GY 6323 — reinforcement learning and optimal control applied to robotics problems. Implemented in Python using NumPy and SciPy across Jupyter notebooks.

Python Reinforcement Learning Optimal Control NumPy Jupyter NYU Coursework

Skills & Tools

Languages

Python · C/C++ · MATLAB

Microcontrollers

Arduino · LEGO SPIKE Prime · Propeller Board

Control & Kinematics

optimal control · PID · inverse kinematics · D-H parameters

Reinforcement Learning

policy optimization · value-based methods · robotics applications

Hardware & Sensors

ultrasonic · IR · motor control · PWM · line-following

Design & Simulation

CAD · circuit design · system modeling

Environment

Jupyter · Git · GitHub Pages

Contact

Open to robotics opportunities. Reach out via email or GitHub.