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Stanford University via YouTube Video playlist

Robotics

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Overview

Discover the captivating world of Robotics with this curated YouTube playlist. This collection features expert insights, educational content from reputable organizations, and engaging discussions that highlight the latest developments in the field.

Videos in this playlist 58

  1. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RL
  2. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 18: RL Policy Optimization
  3. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based Methods
  4. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 16: Fundamentals of RL
  5. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 15: Imitation Learning
  6. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 14: Intro to IL and RL
  7. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 13: Intro to Learning
  8. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 12: Feasibility of MPC
  9. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 11: Introduction to MPC
  10. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 10: Reachibility Analysis
  11. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 9: Stochastic Dyn. Program
  12. AStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 8: LQR-Style Algorithms
  13. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 7: Dynamic Programming
  14. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 6: Direct Methods
  15. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 5: Computational Methods
  16. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 4: Indirect Methods
  17. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 3: Calculus of Variations
  18. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 2: Optimization Theory
  19. Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 1: Course Overview
  20. Stanford Robotics Seminar ENGR319 | Winter 2025 | Embodied Intelligence
  21. Stanford Robotics Seminar ENGR319 | Spring 2026 | Towards Trustworthy Autonomy
  22. Stanford Robotics Seminar ENGR319 | Spring 2026 | Leveraging Geometry in Robot Learning
  23. Stanford Robotics Seminar ENGR319 | Spring 2026 | Integrated Learning and Planning
  24. Stanford Robotics Seminar ENGR319 | Spring 2026 | Interactive Autonomy
  25. Stanford Robotics Seminar ENGR319 | Spring 2026 | Unlocking Autonomous Medical Robotics
  26. Stanford Robotics Seminar ENGR319 | Spring 2026 | Mechanical Intelligence in Locomotion
  27. Stanford Robotics Seminar ENGR319 | Spring 2026 | Robot Learning from Human Experience
  28. Stanford Robotics Seminar ENGR319 | Winter 2026 | Gen Control, Action Chunking, Moravec’s Paradox
  29. Stanford AA228V I Validation of Safety Critical Systems I Explainability
  30. Design and Control of Haptic Systems: The Challenges of Robotics
  31. Stanford Robotics Seminar ENGR319 | Winter 2026 | 𝚿0: An Open Foundation Model
  32. What Is A Haptic Device? Professor Allison Okamura Explains.
  33. Sneak Peek: Design and Control of Haptic Systems
  34. Course Overview: Design and Control of Haptic Systems (ME327)
  35. Stanford Robotics Seminar ENGR319 | Winter 2026 | Bringing AI Up To Speed
  36. Stanford Robotics Seminar ENGR319 | Winter 2026 | Autonomous Navigation and Safe Humanoids
  37. Stanford Robotics Seminar ENGR319 | Winter 2026 | Resilient Autonomy
  38. Stanford Robotics Seminar ENGR319 | Winter 2026 | Robot Motion Learning w/Physics-Based PDE Priors
  39. Stanford Robotics Seminar ENGR319 | Autumn 2025 | The Dynamics of Fluid Physical Interaction
  40. Stanford Robotics Seminar ENGR319 | Autumn 2025 | Next Generation Dexterous Manipulation
  41. Stanford Robotics Seminar ENGR319 | Autumn 2025 | The Graph Physical AI Approach
  42. Stanford Robotics Seminar ENGR319 | Autumn 2025 | Embodied Foundation Models
  43. Stanford Robotics Seminar ENGR319 | Autumn 2025 | General Compliant Robot Interaction
  44. Stanford Webinar - AI Safety
  45. Stanford Robotics Seminar ENGR319 | Autumn 2025 | Adaptive Robots
  46. AI-Robotics Frontier
  47. Stanford Robotics Seminar ENGR319 | Autumn 2025 | Manipulation Data Pyramid
  48. Stanford Robotics Seminar ENGR319 | Autumn 2025 | Make Every Step an Experiment
  49. Stanford Webinar - From Pixels to Human Impact: Unlocking Real-World Value with Computer Vision
  50. Stanford Seminar - Robot Learning Without Action Chunking
  51. Stanford Seminar - Learning to control large teams of robots
  52. Stanford Seminar - Towards Open World Robot Safety
  53. Stanford Seminar - Towards Robots that Generalize and Adapt Efficiently
  54. Stanford Seminar - Where are the Field Robots?
  55. Stanford Seminar - Modeling Humans for Humanoid Robots
  56. Stanford Seminar - Robot Skill Acquisition: Policy Representation and Data Generation
  57. Stanford CS25: V2 I Robotics and Imitation Learning
  58. AI and Robotics - Chelsea Finn & Andrew Ng

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • The actual Stanford lectures (CS229, CS224N, CS231N…): the deepest free material on AI anywhere.
  • Taught by Stanford University, one of the strongest names in its field.
  • 298,628 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (58 videos) you can see before you start.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • Graduate level: needs linear algebra, probability and programming first.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Stanford University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (97/100).

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