Intelligent Robotics introduces common robot modeling and algorithmic approaches, covering robot representations, kinematics, motion planning, perception, state estimation, learning, and control.
Describe common components of robot software systems.
Apply classical approaches for robot configurations, kinematics, control, perception, state-estimation, mapping, and planning.
Compare and contrast classical approaches for each layer of a robot's software system.
Evaluate different robot software system designs for a target application.
Source: UW Guide
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(COMP SCI 320 or 400), (MATH 320, 340, 341, 345 or 375) and (STAT 311, 324, 333, 340, 371,MATH/STAT 309, 409, 431,MATH 331, 531,I SY E 210 or B M E 325) or graduate/professional standing
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| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
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Introduction to common robot modeling and algorithmic approaches. Topics covered include background and algorithms for robot representations, kinematics, motion planning, perception, state estimation, learning, and control.
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Intelligent Robotics
Recorded 2026-10-14[
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Recorded model configuration, reasoning, and tool conversations.
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