Suggested preparation: Algorithms, probability, programming and introductory robotics.
About this course
Explore advanced topics in cognitive robotics through path planning, localization, image classification and tree search. This selected lecture sequence focuses on autonomous decision-making techniques.
Topics and lesson examples
- Advanced 1. Incremental Path Planning
- Advanced 2. Semantic Localization
- Advanced 4. Monte Carlo Tree Search
- Advanced 5. Reachability
- Advanced 7: Probabilistic and Infinite Horizon Planning
Course at a glance
| Provider | MIT |
|---|---|
| Platform | YouTube · MIT OpenCourseWare |
| Access | Free Video |
| Level | Professional — WikiFree study-level assessment |
| Language | English |
| Available lessons | 7 |
| Video duration | 8h 6m · self-paced |
| Details checked | 10 October 2026 |
Preparation and study approach
Suggested preparation: Algorithms, probability, programming and introductory robotics.
Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.
Using this video classroom
Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.
Free access and course scope
The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.
WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.
Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.
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Professional
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free MIT Course: Cognitive Robotics and Autonomous Planning | Professional | Advanced 1. Incremental Path Planning · Advanced 2. Semantic Localization · Advanced 4. Monte Carlo Tree Search | 8h 6m of video; practice time is additional |
| Free MIT Course: Artificial Intelligence: Search, Reasoning and Learning | Intermediate | 1. Introduction and Scope · 8. Constraints: Search, Domain Reduction · 14. Learning: Sparse Spaces, Phonology | 24h 17m of video; practice time is additional |
| Free MIT Course: Underactuated Robotics and Dynamic Control | Professional | MIT Course: Underactuated Robotics and Dynamic Control | 28h 28m of video; practice time is additional |
Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.
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