Teaching

ROB 320: Computational Linear Alegbra

In ROB 320, I lead a project-based course where students build full robotics software stacks similar to ROS. They program MBot platforms for using the publish–subscribe paradigm, implement communication pipelines with TCP sockets and multi-threading/ Finally, they use the pub-sub to simulate a Fetch robot with correct kinematics published.

ROB 101: Computational Linear Alegbra

I teach ROB 101, an introductory course that presents linear algebra through robotics and real-world applications. Originally involved in developing the course as a Graduate Student Instructor, I now independently teach and continue to evolve it. The course emphasizes computational thinking using Julia, with projects spanning robot perception (point cloud alignment), machine learning (rainfall prediction), and control (MPC for a Segway).

Course won Provost Award for Innovation Teaching, [Link]
I Won Honorable mention for Towner Prize for Outstanding Graduate Student Instructors, 2022, [Link]

Rob 535: Self Driving Cars

Graduate student Instructor, Fall 2023:

Regular Office hours, and special focus on Control using MPC
Guest Lecture in Planning and Routing

Rob 530: Mobile Robots

Guest Lecturer in Planning and Routing, Winter 2021

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