16.412J Cognitive Robotics
Algorithms and paradigms for creating a wide range of robotic systems that act intelligently and robustly, by reasoning extensively from models of themselves and their world. Examples range from autonomous Mars explorers and cooperative air vehicles, to everyday embedded devices. Topics include deduction and search in real-time; temporal, decision-theoretic and contingency planning; dynamic execution and re-planning; reasoning about hidden state and failures; reasoning under uncertainty, path planning, mapping and localization, and cooperative and distributed robotics. 8 Engineering Design Points.
16.412J will be offered this semester (Spring 2018). It is instructed by B. C. Williams.
This class counts for a total of 12 credits. This is a graduate-level class.
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