Cognitive Robotics, Spring 2004
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| Type: | Course Related Materials |
| Grade Level: | Post-secondary |
Author: Williams, Brian
Subject: Science and Technology
Institution Name:
M.I.T.
Collection Name: MIT OpenCourseWare
Abstract: Algorithms and paradigms for developing embedded systems that are able to operate autonomously for years at a time within harsh and uncertain environments. Focus on systems that demonstrate high levels of deduction and adaptation. Draws upon a diverse set of computational methods from artificial intelligence, operations research, software engineering, and control. Topics include: real-time deduction and search, automated planning, scheduling and execution, model-based diagnosis and failure recovery, reactive planning, hybrid systems, and agent architectures.
Details
Course Type: Full Course
Material Types: Syllabi, Lecture Notes, Homework and Assignments, Activities and Labs, Other
Media Formats: Text/HTML, Downloadable docs
Language: English
Additional Information
Geographic
Regional Relevance: All
