Russ Tedrake: Motion Planning Around Obstacles with Convex Optimization

Graphs of Convex Sets with applications to optimal control and motion planning

Sergey Levine (UC Berkeley): "Robots That Learn By Doing"

MIT Robotics - Russ Tedrake - Planning with Graphs of Convex Sets (in the age of foundation models)

RI Seminar: Dieter Fox: Where's RobotGPT?

4 Hours Chopin for Studying, Concentration & Relaxation

RI Seminar: Russ Tedrake : Motion Planning Around Obstacles with Graphs of Convex Sets

Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies

MPC from Basics to Learning-based Design (1/2)

[Tutorial] Optimization, Optimal Control, Trajectory Optimization, and Splines

Jonathan Tidor: Semialgebraic graphs and polynomial partitioning

Ben Raichel: The Road to the Closest Point is Paved by Good Neighbors

MIT Robotics – Vladlen Koltun – A Quiet Revolution in Robotics Continued

Coding Challenge #98.1: Дерево квадрантов - Часть 1

"New Connections between Motion Planning and Machine Learning" - Sidd Srinivasa

PhD Thesis Defense - Francois Hogan - Reactive Manipulation with Contact Models and Tactile Feedback

Russ Tedrake (MIT): "Learning manipulation — and why I (still) like F=ma"

Distinguished Colloquium: Vladlen Koltun, Sept 12, 2023

Melanie Zeilinger: "Learning-based Model Predictive Control - Towards Safe Learning in Control"

Joan Solà - Lie theory for the Roboticist

"Recent Progress on Atlas, the World’s Most Dynamic Humanoid Robot" - Scott Kuindersma