This Capstone project aimed to implement a shared autonomy framework to study the effects of human-robot collaboration in completing a performance based task. The findings from this research are novel and a manuscript for publication is in progress

This project is a high-resolution statistical analysis of power quality and harmonic distortion across real-world panels, built for scalable energy systems monitoring and trends for smarter energy insights 

Using a set of machine learning models and a dataset from the Supreme Court Database, a prediction to determine the decision of the Supreme Court Of The United States is made, in which a case is successfully or unsuccessfully appealed

This project presents the development of an Indoor Positioning System to assist navigation in indoor settings. A heading estimator is constructed and combined with a walking distance estimator developed in tandem, to provide an integrated position system  

This thesis explored the design and implementation of nonlinear control strategies for quadrotor attitude stabilisation and tracking, to enhance their resilience and performance in the presence of external disturbances

This 3-phase project covered the design and analysis of classical, modern and optimisation-based controller and observer design techniques for reference tracking of a square wave. Theories implemented include symmetric root-locus, internal model principle, reduced-order Kalman filter, LQR, MPC, etc.