Russ Tedrake: Motion Planning Around Obstacles with Convex Optimization

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

David Eppstein: Non-Euclidean Erdős--Anning Theorems

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

Transformers (how LLMs work) explained visually | DL5

Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies

Understanding GD&T

Why Trump's tariff chaos actually makes sense (big picture)

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

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

Manipulation Expert: How to Control Any Conversation and Read Their Mind Instantly!

PLC Basics: Ladder Logic

Harvard Professor Explains Algorithms in 5 Levels of Difficulty | WIRED

The Man Who Almost Broke Math (And Himself...)

Jeff Phillips: Coresets for Finding Approximate Maximum in a Range Space

New Connections between Motion Planning and Machine Learning - Sidd Srinivasa

Tutorial 6: Trajectory Optimization for Underactuated Robots -Day 2 - Tuesday, July 24

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

Convex Optimization in Python with CVXPY | SciPy 2018 | Steven Diamond

Shreyas Kousik's Talk on Safe Robot Motion Planning via Reachability Analysis

Joan Solà - Lie theory for the Roboticist