projects

A growing collection of your cool projects.

work

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ADMM-based Optimal Control for Quadrotor Dynamics with Air Drag

This project at the University of Pennsylvania's GRASP Lab involves advanced control techniques for quadrotors considering air drag. The focus is on applying Alternating Direction Method of Multipliers (ADMM) for optimal control in dynamic environments with air drag factors.
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Data-aware Trajectory Optimization with Air Drag

This project, conducted at the University of Pennsylvania, GRASP Lab, focuses on optimizing trajectories considering air drag. It integrates data-aware approaches to enhance trajectory planning and optimization in aerial vehicles.
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Rangefinder-Calibrated Monocular Depth Estimation on F1/10 Auto-Racing Cars

At the University of Pennsylvania's xLAB, this project aims to enhance depth estimation in autonomous racing cars using rangefinder calibration. It involves developing and calibrating algorithms for accurate depth perception in high-speed racing scenarios.
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Model Predictive Control (MPC) for Autonomous Racing Cars

This project at the University of Pennsylvania's xLAB involves applying Model Predictive Control (MPC) techniques to improve performance and safety in autonomous racing cars. The project explores advanced MPC algorithms for dynamic and high-speed autonomous driving.

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