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

Leveraging Structure for Efficient and Dexterous Contact-Rich Manipulation

[Kevin Tracy Ph.D. Defense] Differentiable Convex Modeling for Robotic Motion Planning and Control

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

[1hr Talk] Intro to Large Language Models

Учебник по машинному обучению Python - 8: логистическая регрессия (двоичная классификация)

4 Hours Chopin for Studying, Concentration & Relaxation

Stephen Boyd: Embedded Convex Optimization for Control

N.E.W. Conference 2025 | Constantin Rothkopf: Goal-directed behavior, planning in belief-space

Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies

MIT Robotics - Zac Manchester - Composable Optimization for Robotic Motion Planning and Control

Thesis Defense - Layered Control Architectures: Constructive Theory and Application to Legged Robots

Team MIT at the 2015 DARPA Robotics Challenge Finals

Tao Pang's Ph.D. Thesis Defense (Jan 20, 2023)

Russ Tedrake: Motion Planning Around Obstacles with Convex Optimization

The Impact of chatGPT talks (2023) - Keynote address by Prof. Yann LeCun (NYU/Meta)

Jason Choi -- Introduction to Control Lyapunov Functions and Control Barrier Functions

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

MIT Robotics - Dieter Fox - Toward Foundational Robot Manipulation Skills

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

MorphoTalks - Dr. Claudio Gallicchio