6.8210 Spring 2024 Lecture 20: Stochastic Control

6.8210 Spring 2024 Lecture 20: Stochastic Control

6.8210 Spring 2024 Lecture 19: Stochastic dynamics

6.8210 Spring 2024 Lecture 19: Stochastic dynamics

6.8210 Spring 2024 Lecture 18: Sampling-based (kinodynamic) motion planning

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 17: Mixed-discrete (combinatorial) and continuous optimization

6.8210 Spring 2024 Lecture 16: Humanoid Robots

6.8210 Spring 2024 Lecture 16: Humanoid Robots

6.8210 Spring 2024 Lecture 15: Planning + Control Through Contact

6.8210 Spring 2024 Lecture 15: Planning + Control Through Contact

6.8210 Spring 2024 Lecture 14: Hybrid Trajectory Optimization

6.8210 Spring 2024 Lecture 14: Hybrid Trajectory Optimization

6.8210 Spring 2024 Lecture 12: Trajectory Stabilization

6.8210 Spring 2024 Lecture 12: Trajectory Stabilization

6.8210 Spring 2024 Lecture 11: Trajectory Optimization II

6.8210 Spring 2024 Lecture 11: Trajectory Optimization II

6.8210 Spring 2024 Lecture 10: Trajectory Optimization I

6.8210 Spring 2024 Lecture 10: Trajectory Optimization I

6.8210 Spring 2024 Lecture 9: Computing Lyapunov Functions II

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 8: Computing Lyapunov Functions I

6.8210 Spring 2024 Lecture 7: Lyapunov Analysis I

6.8210 Spring 2024 Lecture 7: Lyapunov Analysis I

6.8210 Spring 2024 Lecture 4: Dynamic Programming II

6.8210 Spring 2024 Lecture 4: Dynamic Programming II

6.8210 Spring 2024 Lecture 5: Acrobots, Cart-poles, and Quadrotors I

6.8210 Spring 2024 Lecture 5: Acrobots, Cart-poles, and Quadrotors I

6.8210 Spring 2024 Lecture 6: Dynamic Programming III

6.8210 Spring 2024 Lecture 6: Dynamic Programming III

6.8210 Spring 2024 Lecture 1: Robot dynamics and model-based control

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 23: Soft Manipulation and Tactile Sensing

6.4210 Fall 2023 Lecture 22: Foundational Models for Decision Making

6.4210 Fall 2023 Lecture 22: Foundational Models for Decision Making

6.4210 Fall 2023 Lecture 21: Multibody Parameter Estimation

6.4210 Fall 2023 Lecture 21: Multibody Parameter Estimation

6.4210 Fall 2023 Lecture 20: Reinforcement Learning Pt. 2

6.4210 Fall 2023 Lecture 20: Reinforcement Learning Pt. 2

6.4210 Fall 2023 Lecture 19: Reinforcement Learning Pt. 1

6.4210 Fall 2023 Lecture 19: Reinforcement Learning Pt. 1

6.4210 Fall 2023 Lecture 18: Visuomotor Policies (via Behavior Cloning)

6.4210 Fall 2023 Lecture 18: Visuomotor Policies (via Behavior Cloning)

6.4210 Fall 2023 Lecture 17: Deep Perception Pt. 2

6.4210 Fall 2023 Lecture 17: Deep Perception Pt. 2

6.4210 Fall 2023 Lecture 16: Deep Perception

6.4210 Fall 2023 Lecture 16: Deep Perception

6.4210 Fall 2023 Lecture 14: Force Control

6.4210 Fall 2023 Lecture 14: Force Control

6.4210 Fall 2023 Lecture 15: Manipulator Control

6.4210 Fall 2023 Lecture 15: Manipulator Control

6.4210 Fall 2023 Lecture 13: Mobile Manipulation

6.4210 Fall 2023 Lecture 13: Mobile Manipulation

6.4210 Fall 2023 Lecture 12: Motion Planning- Sampling Based and Global Optimization

6.4210 Fall 2023 Lecture 12: Motion Planning- Sampling Based and Global Optimization

6.4210 Fall 2023 Lecture 11: Motion Planning- Optimization Based

6.4210 Fall 2023 Lecture 11: Motion Planning- Optimization Based