I have also been fortunate to work under many fantastic researchers in robotics. Previously, I collabrated with Prof.
Fabio Ramos from Nvidia and on task and motion planning.
In undergrad, I was involved in the student design team aUToronto, where we competed and won the SAE Autodrive Challenge.
I also spent one amazing summer in Israel with Prof. Amir Degani and the summer before that with Prof. Angela Schoellig.
The goal of my research is to improve robot's ability to model uncertain environments and make plans for complex and long-horizon tasks.
Towards this end, I am currently working on planning algorithms for autonomous surface vessel (ASV) in Canadian lakes.
Before that, I have also also explored continual learning in learning dynamics model for control.
Task-conditioned hypernetworks can be used to continually adapt to varying environment dynamics in lifelong model-based reinforcement learning, with a fixed-size replay buffer.