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An illustration of a robotic claw with two blocks in the front, one red and the other blue. Also four letters, "MERS" is printed in the corner, which stands for "Model-based Embedded and Robotics System."

Course16.412J / 6.834J7 lectures7 h 56 min

Cognitive Robotics

Prof. Brian Charles Williams · Massachusetts Institute of Technology

Start with lecture 1 At MIT OpenCourseWare

About

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 semester—continually adding in new features and reasoning capabilities—ending 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.

Lectures

Videos for Advanced Lectures

  1. Advanced Lecture 1: Incremental Path Planning 1 h 23 min · Video
  2. Advanced Lecture 2: Semantic Localization 41 min · Video
  3. Advanced Lecture 3: Image Classification via Deep Learning 52 min · Video
  4. Advanced Lecture 4: Monte Carlo Tree Search 1 h 24 min · Video
  5. Advanced Lecture 5: Reachability 1 h 14 min · Video
  6. Advanced Lecture 6: Planning with Temporal Logic 1 h 12 min · Video
  7. Advanced Lecture 7: Probabilistic and Infinite Horizon Planning 1 h 12 min · Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

Institution
Massachusetts Institute of Technology
Department
Aeronautics and Astronautics; Electrical Engineering and Computer Science
Teacher
Prof. Brian Charles Williams
Term
Spring 2016
Level
Graduate
Language
English
Subjects
Computer science, Engineering, Astronomy and space
Source
MIT OpenCourseWare
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution
Prof. Brian Charles Williams. Cognitive Robotics. Spring 2016. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
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