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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