Introduction to Robotics @ Princeton
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What you'll learn
This course includes
- 29 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 24 lessons • 29 hours of video
Introduction to Robotics @ Princeton
24 lessons
• 29 hours
Introduction to Robotics @ Princeton
24 lessons
• 29 hours
- Lecture 1: Princeton: Introduction to Robotics 01:12:46
- Lecture 2: Princeton: Introduction to Robotics | "Dynamics" 01:17:36
- Lecture 3: Princeton: Introduction to Robotics | "Feedback Control" 01:19:33
- Lecture 4: Princeton: Introduction to Robotics | "Stability and PD Control" 01:10:47
- Lecture 5: Princeton: Introduction to Robotics | "Linear Quadratic Regulator (LQR)" 01:13:48
- Lecture 6: Princeton: Introduction to Robotics | "Discrete Planning (BFS and DFS)" 56:45
- Lecture 7: Princeton: Introduction to Robotics | "Optimal Discrete Planning" 01:07:15
- Lecture 8: Princeton: Introduction to Robotics | "Randomized motion planning (RRTs)" 01:17:04
- Lecture 9: Princeton: Introduction to Robotics | "Differential flatness" 01:15:22
- Lecture 10: Princeton: Introduction to Robotics | "Planning with dynamics constraints" 01:15:25
- Lecture 11: Princeton: Introduction to Robotics | "The Nondeterministic Filter" 01:14:32
- Lecture 12: Princeton: Introduction to Robotics | "Bayes Filtering" 01:18:31
- Lecture 13: Princeton: Introduction to Robotics | "Particle filters and Kalman filters" 01:16:04
- Lecture 14: Princeton: Introduction to Robotics | "Localization" 01:16:30
- Lecture 15: Princeton: Introduction to Robotics | "Mapping" 01:16:12
- Lecture 16: Princeton: Introduction to Robotics | "SLAM" 01:07:49
- Lecture 17: Princeton: Introduction to Robotics | "Intro to Vision" 01:02:03
- Lecture 18: Princeton: Introduction to Robotics | "Optical Flow" 01:14:34
- Lecture 19: Princeton: Introduction to Robotics | "Intro to deep learning for vision" 01:02:09
- Lecture 20: Princeton: Introduction to Robotics | "Stochastic gradient descent" 01:17:47
- Lecture 21: Princeton: Introduction to Robotics | "Overfitting and regularization" 01:16:50
- Lecture 22: Princeton: Introduction to Robotics | "Convolutional neural networks" 01:08:46
- Lecture 23: Princeton: Introduction to Robotics | "Reinforcement Learning" 01:19:37
- Lecture 24: Princeton: Introduction to Robotics | "Robotics and the economy, ethics, and laws" 01:12:12
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