CS 237A: Principles of Robot Autonomy I (AA 174A, AA 274A, EE 260A)
Basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. Algorithmic approaches for robot perception, localization, and simultaneous localization and mapping; control of non-linear systems, learning-based control, and robot motion planning; introduction to methodologies for reasoning under uncertainty, e.g., (partially observable) Markov decision processes. Extensive use of the Robot Operating System (ROS) for demonstrations and hands-on activities. Prerequisites:
CS 106A or equivalent,
CME 100 or equivalent (for linear algebra), and
CME 106 or equivalent (for probability theory).
Terms: Aut
| Units: 3-4
Instructors:
Pavone, M. (PI)
;
Bylard, A. (TA)
;
Ivanovic, B. (TA)
...
more instructors for CS 237A »
Instructors:
Pavone, M. (PI)
;
Bylard, A. (TA)
;
Ivanovic, B. (TA)
;
Lee, J. (TA)
;
Migimatsu, T. (TA)
;
Sharma, A. (TA)
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