2.166 Autonomous Vehicles


Class Info

Theory and application of probabilistic techniques for autonomous mobile robotics. Topics include probabilistic state estimation and decision making for mobile robots; stochastic representations of the environment; dynamic models and sensor models for mobile robots; algorithms for mapping and localization; planning and control in the presence of uncertainty; cooperative operation of multiple mobile robots; mobile sensor networks; application to autonomous marine (underwater and floating), ground, and air vehicles.

This class has 6.041B as a prerequisite.

2.166 will not be offered this semester. It will be instructed by .

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the MIT + 2.166 - Google Search site or on the 2.166 Stellar site.

MIT 2.166 Autonomous Vehicles Related Textbooks
MIT 2.166 Autonomous Vehicles On The Web

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