Cognitive Robotics

Overview This is a class about applying autonomy to real-world systems. The overarching theme uniting the many different topics in this course will center around programming a cognitive robotic. This class takes the approach of introducing new reasoning techniques and ideas incrementally. We start with the current paradigm of programming you're likely familiar with, and evolve it over the semestercontinually adding in new features and reasoning capabilitiesending with a robust, intelligent system. These techniques and topics will include algorithms for allowing a robot to: Monitor itself for potential problems (both observable and hidden), scheduling tasks in time, coming up with novel plans to achieve desired goals over time, dealing with the continuous world, collaborating with other (autonomous) agents, dealing with risk, and more.

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Last updated Tue, 07-Jun-2022
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Course overview
Lecture Details

MIT 16.412J Cognitive Robotics, Spring 2016
View the complete course: https://ocw.mit.edu/16-412JS16
Instructor: MIT students

This is the 2nd advanced lecture in the MIT 16.412 Cognitive Robotics of Spring 2016, led by MIT students. Students took a deep dive into the topic of incremental path planning, and explained the D* Lite algorithym and its application in mobile robotics.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

Curriculum for this course
7 Lessons 08:06:34 Hours
Cognitive Robotics
7 Lessons 08:06:34 Hours
  • Advanced 1. Incremental Path Planning
    Preview 01:22:46
  • Advanced 2. Semantic Localization
    00:40:19
  • Advanced 3. Image Classification via Deep Learning
    00:51:51
  • Advanced 4. Monte Carlo Tree Search
    01:23:24
  • Advanced 5. Reachability
    01:13:36
  • Advanced 6. Planning with Temporal Logic
    01:11:47
  • Advanced 7: Probabilistic and Infinite Horizon Planning
    01:22:51
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