Eye tracking analysis
Early visualisations of eye and hand tracking, with links to the later thesis and teleoperation working paper.
ROBOCART; A self-navigating shopping cart for the supermarket
ROBOCART investigates a simulated supermarket cart that follows a customer, plans routes, responds to a checkout command and returns to a charging location when its battery state requires it. The central idea is to combine prediction with path planning so that the cart can move towards where the customer is likely to be, rather than continually chasing an outdated position.
TTS E-Reader with Self Generated Voices
E-readers are a popular way to read books, but some people may find the computer-generated voices used to read the books to be unnatural or robotic. Using trained neural networks to generate more human-sounding voices could certainly improve the reading experience for many people.
Particle Filter Based Localization
Localisation estimates a robot’s pose from motion and sensor information. A particle filter represents possible poses with weighted samples, allowing several competing location hypotheses to coexist. Motion prediction, measurement weighting and resampling update that representation. Convergence depends on the model, observations and coverage of the hypotheses; it is not guaranteed merely by repeating the updates.
Crypto Market Arbitrage
Market arbitrage is a financial strategy that involves taking advantage of pricing discrepancies in different markets. This practice requires an investor to buy and sell assets simultaneously in different markets to benefit from price differentials. The goal of market arbitrage is to generate profit by exploiting inefficiencies in the market. The aim of this is to find some basic discrepancies in certain crypto markets, when passing from one currency to another using their apis, and to see the times when profit is achievable.
53 post articles, 7 pages.