Princeton University Releases Full "Introduction to Robotics" Course
lukas_m_ziegler · x · 2026-08-02
Princeton University has publicly released the complete materials for its "Introduction to Robotics" course.
- Includes: Lecture videos, notes, slides, and practical assignments.
- Core Topics:
- Feedback Control (dynamics, PD control, Linear Quadratic Regulator)
- Motion Planning (discrete planning with BFS/DFS, optimal planning with Dijkstra/A)
- State Estimation and Mapping (Bayes filtering, Kalman filtering, particle filtering, SLAM)
- Vision and Learning (optical flow, deep learning, CNNs, reinforcement learning)
- Hands-on Component: Features theory, programming, and hardware implementation. The final project requires students to program drones for vision-based tasks.
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