Optimizing Performance of Ride-Sourcing Transportation Networks In this project we are developing ways of improving the performance of self-interested drivers in ride-sourcing applications.
Active Learning of Users Preferences on Robot Behaviour An important challenge in human robot interaction (HRI) is enabling non-expert users to specify complex tasks for autonomous robots.
Active Robotic Sampling for Environmental Monitoring This project involves the development of sampling policies to map the spatial variability of certain environmental factors.
Role of human trust and expertise in Human-Robot Collaboration The project aims to study the role that human trust and expertise play in a setting where a robot is tasked at providing assistance to its human teammates in ac
Learning a Motion Policy to Navigate Environments with Structured Uncertainty This project focuses on reducing the distance a robot has to travel when repeatedly moving between destinations in an uncertain environment.