Fast Robots @ Cornell

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Lecture slides

Lecture slides will be uploaded on this page.

• Lecture 1 - Intro
• Lecture 2 - Transformation Matrices
• Lecture 3 - Sensors I
• Lecture 4 - Sensors II / IMU, code
• Lecture 5 - EMI and Wiring, worksheet
• Lecture 6 - Batteries and Actuators
• Lecture 7 - PID control
• Lecture 8 - PID control (cont), notebook
• Lecture 9 - Linear systems, recap
• Lecture 10 - Controllability
• Lecture 11 - Controllability/LQR, Inverted Pendulum Github Repository
• Lecture 12 - Probability and Bayes Theorem, many thanks to Prof. Petersen for the guest lecture!
• Lecture 13 - Observability and Kalman Filters
• Lecture 14 - KF cont., Local Planning
• Lecture 15 - Maps, Graph construction
• Lecture 16 - Graph Search
• Lecture 17 - Markov and Bayes Filter I
• Lecture 18 - Motion models
• Lecture 19 - Sensor models
• Lecture 20 - Bayes Filter II
• Lecture 21 - Simulator
• Lecture 22/23 - Particle Filters and intro to SLAM
• Lecture 24 - Ethics I
• Lectures 25 - Ethics II