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Gerardo Bledt (MIT): Generalizing and improving regularized predictive control for legged robots
MPCRL 2021
May 28, 2021
7,674 views
Daniel Holden (Ubisoft): Robotic characters in video games
Michiel van de Panne (UBC): MPC and RL, two different roads to legged locomotion, and that's OK
MIT Robotics - Marco Hutter - Robots in the wild
Liquid Neural Networks, A New Idea That Allows AI To Learn Even After Training
Agile and Perceptive Locomotion in Legged Robots (IROS'23 Workshop)
MIT Robotics - Yuval Tassa - Predictive Sampling: Real-time behavior synthesis with MuJoCo
Patrick Wensing (University of Notre Dame): Tailoring model complexity in MPC of legged locomotion
Jonathan W. Hurst: Learning legged locomotion, RL as one tool in an engineered system
Why it's harder for AI to open doors than play chess | Pulkit Agrawal | TEDxMIT
Keynote speech Marco Hutter ICRA 2022
Model Predictive Control - Part 1: Introduction to MPC (Lasse Peters)
Tutorial: Gait and Trajectory Optimization for Legged Robots
Kidnapped Robot Problem - Computerphile
Controlling Contact Transitions for Dynamic Robots (Will Yang thesis defense)
MIT Robotics - Russ Tedrake - Planning with Graphs of Convex Sets (in the age of foundation models)
DTC: Deep Tracking Control
Legged Robots - Computerphile
Zero Moment Point (ZMP) in Legged Robots
MIT Robotics - Jessy Grizzle - Mathematics and Learning for Bipedal Locomotion
CSL seminar: Byron Boots - Machine Learning and MPC for Adaptive Robotic Systems