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6.8210 Spring 2024 Lecture 24: Imitation learning / Foundation models / Course wrap-up
6.8210 Spring 2024 Lecture 23: Feedback motion planning
6.8210 Spring 2024 Lecture 22: Output feedback
6.8210 Spring 2024 Lecture 21: Robust Control & Policy Search
6.8210 Spring 2024 Lecture 20: Stochastic Control
6.8210 Spring 2024 Lecture 19: Stochastic dynamics
6.8210 Spring 2024 Lecture 18: Sampling-based (kinodynamic) motion planning
6.8210 Spring 2024 Lecture 17: Mixed-discrete (combinatorial) and continuous optimization
6.8210 Spring 2024 Lecture 16: Humanoid Robots
6.8210 Spring 2024 Lecture 15: Planning + Control Through Contact
6.8210 Spring 2024 Lecture 14: Hybrid Trajectory Optimization
6.8210 Spring 2024 Lecture 12: Trajectory Stabilization
6.8210 Spring 2024 Lecture 11: Trajectory Optimization II
6.8210 Spring 2024 Lecture 10: Trajectory Optimization I
6.8210 Spring 2024 Lecture 9: Computing Lyapunov Functions II
6.8210 Spring 2024 Lecture 8: Computing Lyapunov Functions I
6.8210 Spring 2024 Lecture 7: Lyapunov Analysis I
6.8210 Spring 2024 Lecture 4: Dynamic Programming II
6.8210 Spring 2024 Lecture 6: Dynamic Programming III
6.8210 Spring 2024 Lecture 1: Robot dynamics and model-based control
6.4210 Fall 2023 Lecture 23: Soft Manipulation and Tactile Sensing
6.4210 Fall 2023 Lecture 21: Multibody Parameter Estimation
6.4210 Fall 2023 Lecture 20: Reinforcement Learning Pt. 2
6.4210 Fall 2023 Lecture 19: Reinforcement Learning Pt. 1