Published 'SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization' in IEEE Transactions on Robotics (T-RO); 'SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions' accepted in IEEE Robotics and Automation Letters (RA-L).
Research Experience
A researcher at the Vector Institute for Artificial Intelligence and a graduate student affiliate of the U of T Robotics Institute; participated in the SAE AutoDrive Challenge.
Education
Received an MASc (equivalent to MSc) in 2021; was the deputy lead of aUToronto, U of T’s self-driving car team, for the second stage of the SAE AutoDrive Challenge in 2019; completed undergraduate studies in Engineering Science (Robotics) at the University of Toronto; advised by Profs. Angela Schoellig and Florian Shkurti.
Background
Research focuses on planning and control methods that enable mobile robots to safely navigate human-centric environments and interact with people. Currently a PhD candidate at the University of Toronto, visiting the Learning Systems and Robotics Lab at the Technical University of Munich.