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1. 1▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RLStanford OnlineNotes
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2. 2▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 18: RL Policy OptimizationStanford OnlineNotes
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3. 3▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based MethodsStanford OnlineNotes
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4. 4▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 16: Fundamentals of RLStanford OnlineNotes
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5. 5▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 15: Imitation LearningStanford OnlineNotes
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6. 6▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 14: Intro to IL and RLStanford OnlineNotes
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7. 7▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 13: Intro to LearningStanford OnlineNotes
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8. 8▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 12: Feasibility of MPCStanford OnlineNotes
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9. 9▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 11: Introduction to MPCStanford OnlineNotes
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10. 10▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 10: Reachibility AnalysisStanford OnlineNotes
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11. 11▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 9: Stochastic Dyn. ProgramStanford OnlineNotes
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12. 12▶AStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 8: LQR-Style AlgorithmsStanford OnlineNotes
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13. 13▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 7: Dynamic ProgrammingStanford OnlineNotes
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14. 14▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 6: Direct MethodsStanford OnlineNotes
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15. 15▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 5: Computational MethodsStanford OnlineNotes
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16. 16▶Revisiting The Engine Gauges…F-15C Flight Simulator ProjectNotes
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17. 17▶Creating a Flight Simulator in Unity3D Part 4: AutopilotVAZGRIZNotes
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18. 18▶Divi 5 Tipsedywerder.chNotes
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19. 19▶Louis Wiesmann: Efficient LiDAR-Based Mapping and Localization in Outdoor Environments (PhD Thesis)Cyrill StachnissNotes
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20. 20▶Talk by L. Chong: Zero-Shot Semantic Segmentation for Robots in Agriculture or "weed are wired"Cyrill StachnissNotes
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21. 21▶Talk by N. Trekel: Benchmark for Evaluating Long-Term Localization in Indoor Environments (IROS'25)Cyrill StachnissNotes
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22. 22▶Talk by M. Sodano: 3D Hierarchical Panoptic Segmentation in Real Orchard Environments ... (IROS'25)Cyrill StachnissNotes
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23. 23▶DigiForest: Reconstructing trees in the forest with a hand-held sensor box.Cyrill StachnissNotes
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24. 24▶LiDAR-Inertial Odometry Demo Using Multiple Multiple Platforms (RKO LIO by Meher Malladi et al.)Cyrill StachnissNotes
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25. 25▶Talk by Casado Herraez: SPR: Single-Scan Radar Place Recognition (RAL'24/ICRA'25)Cyrill StachnissNotes
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26. 26▶Talk by Y. Pan: PINGS Gaussian Splatting Meets Distance Fields (RSS2025)Cyrill StachnissNotes
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27. 27▶1min PINGS Demo: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural MapCyrill StachnissNotes
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28. 28▶Trailer: Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled ...(ICRA'25)Cyrill StachnissNotes
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29. 29▶Reconstructing Shader Inputs with SlangPY and PyTorchPawelNotes
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30. 30▶Geodäsie in Bonn studieren? Kommt zum Tag der Geodäsie am Sa 24.05.2025! #Shorts #UniBonn #StudiumCyrill StachnissNotes
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31. 31▶Control-06: Model Predictive Control (M. Sondano)Cyrill StachnissNotes
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32. 32▶Control-05: Digital Control Systems (M. Sodano)Cyrill StachnissNotes
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33. 33▶Control-04: PID Control (M. Sodano)Cyrill StachnissNotes
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34. 34▶Control-03: Wheeled Mobile Robots: Kinematic Structures and Models + Control Problems (M. Sodano)Cyrill StachnissNotes
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35. 35▶The Eastlake SkycamDilettanteNotes
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36. 36▶6.8210 Spring 2024 Lecture 24: Imitation learning / Foundation models / Course wrap-upunderactuatedNotes
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37. 37▶6.8210 Spring 2024 Lecture 23: Feedback motion planningunderactuatedNotes
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38. 38▶6.8210 Spring 2024 Lecture 22: Output feedbackunderactuatedNotes
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39. 39▶6.8210 Spring 2024 Lecture 21: Robust Control & Policy SearchunderactuatedNotes
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40. 40▶6.8210 Spring 2024 Lecture 20: Stochastic ControlunderactuatedNotes
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41. 41▶6.8210 Spring 2024 Lecture 19: Stochastic dynamicsunderactuatedNotes
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42. 42▶6.8210 Spring 2024 Lecture 18: Sampling-based (kinodynamic) motion planningunderactuatedNotes
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43. 43▶6.8210 Spring 2024 Lecture 17: Mixed-discrete (combinatorial) and continuous optimizationunderactuatedNotes
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44. 44▶6.8210 Spring 2024 Lecture 16: Humanoid RobotsunderactuatedNotes
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45. 45▶6.8210 Spring 2024 Lecture 15: Planning + Control Through ContactunderactuatedNotes
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46. 46▶6.8210 Spring 2024 Lecture 14: Hybrid Trajectory OptimizationunderactuatedNotes
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47. 47▶6.8210 Spring 2024 Lecture 12: Trajectory StabilizationunderactuatedNotes
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48. 48▶6.8210 Spring 2024 Lecture 11: Trajectory Optimization IIunderactuatedNotes
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49. 49▶Trying to generate 3D variations of 2D reference and control features of output & test of SV3DPawelNotes
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50. 50▶6.8210 Spring 2024 Lecture 10: Trajectory Optimization IunderactuatedNotes
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