Proposed and implemented various novel machine learning algorithms that outperform traditional methods; developed technologies applied to enhancing drones, ground vehicles, and robotic arms assisting children with neuromotor disabilities to interact with their environments.
Research Experience
Research conducted at QUARRG includes ensuring safety and reliability for both aerial and ground autonomous vehicles; developing new machine learning algorithms that incorporate causal inference to speed up learning; and designing algorithms that allow multiple vehicles to collaborate on complex tasks.
Background
Research interests include autonomous robotics, particularly the application of machine learning in self-driving vehicles. The professional field covers full-stack solutions for driverless technology from perception to decision-making.