Online Video Lectures

Introduction to Robotics (taught by Oussama Khatib at Stanford)

• Spatial representations
• Forward kinematics
• Jacobian
• Inverse kinematics
• Dynamics
• PID control
• Joint space control

Programming a Robotic Car (taught by Sebastian Thrun, based on Probabilistic Robotics)

• Localization (deterministic and stochastic)
• Kalman filters
• Particle filters
• A* search
• Dynamic programming
• Path smoothing
• PID control

Underactuated Robotics (taught by Russell Tedrake at MIT)

• Nonlinear dynamics
• Motion planning
• Feedback linearization
• Optimal control

Introduction to Artificial Intelligence (taught by Peter Norvig and Sebastian Thrun at Stanford)

• Bayesian inference
• Machine learning
• Planning
• Hidden Markov models
• Game theory

 Machine Learning (taught by Andrew Ng at Stanford)

• Classification
• Gradient descent
• Regression
• Neural networks
• Support vector machines
• Clustering
• Dimensionality reduction
• Anomaly detection
• Recommender systems

Programming Paradigms (taught by Jerry Cain at Stanford)

• c++
• STL
• Python

RoboticsCourseware.org

Developed by Dr. Aaron Dollar and his team at Yale University. Take a look here