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Projects

Here is a collection of projects I did from my undergrad to master. 

Team Lead

The ABMS automatically locates books using QR‑code vision, grips them with an adaptive rack‑and‑pinion mechanism, moves them precisely via a three‑axis gantry, and updates a digital inventory in real time—all through an intuitive user interface.

Team Member

This project focused on real-time 3D mapping and localization using RTAB-Map, a graph-based SLAM framework that combines visual odometry, loop closure detection, and graph optimization. By integrating RGB-D sensing with feature-based matching and pose-graph refinement, the system built consistent large-scale maps while maintaining real-time performance. Key experiments explored the trade-offs between feature detectors, loop closure reliability, and computational cost, highlighting RTAB-Map’s ability to generate accurate maps suitable for navigation in complex environments.

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Team Member

This project developed a Linear Quadratic Regulator (LQR)–based balance control framework for a bipedal wheeled robot with a five-bar leg linkage. We achied stable balance, smooth torque distribution, and precise tracking in MATLAB simulations

Team Member

This project builds an end‑to‑end pipeline that ingests FIFA datasets (2016–2022) into PostgreSQL, cleans and encodes player attributes, and trains deep‑learning models (MLP and CNN) to accurately forecast professional footballers’ market values.

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Team Member

Developed a control algorithm for a 3-DOF robotic arm to navigate complex environments and perform precision tasks. This approach employs task-space PID control implemented in C for accurate trajectory tracking, augmented by impedance control for enhanced collision avoidance. 

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