03:48
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
06:02
The Generalized Gaussian Filter (Used in KF, EKF, and UKF)
08:02
30 Day Piano Challenge
06:19
The Particle Filter: A Full Tutorial
06:30
Importance Sampling: A Rigorous Tutorial (A Must-know for ML and Robotics)
05:47
How I Learned to Juggle and Became a Better Athlete in Just 2 Weeks
09:31
The Unscented Kalman Filter (UKF): A Full Tutorial. PS. Sampling Methods are Amazing
11:09
How I trained for 30 days to DESTROY my mile time
06:20
The Extended Kalman Filter (EKF): Why Taylor Expansions are Awesome
06:26
The Kalman Filter Derived: The Power of Gaussians
05:25
The Bayes Filter: A Tool Every Roboticist Should Know
X
About
Welcome welcome! I'm a first year robotics graduate student at the University of Toronto (U of T). I have an Engineering Science degree from U of T in Machine Intelligence.
This channel is literally just to have some random fun and to hopefully entertain and potentially teach some stuff on the way.
Tags