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Fall 2026
Intelligent Robotics
Intelligent Robotics introduces robot modeling, kinematics, motion planning, perception, state estimation, learning, and control algorithms.
Recorded instructors · Fall 2026 Mike Hagenow
Summary
Lectures are mid-sized, with a median of 51 enrolled students in the recorded sections.
Grade history
↗ average GPA
letter grades
letter grades
No recorded grade history.
All recorded terms · compare terms & instructors
Prerequisites
Course map(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
- take one
- take one
- STAT 311
- STAT 324
- STAT 333
- STAT 340
- STAT 371
- MATH/STAT 309
- MATH/STAT 409
- MATH/STAT 431
- MATH 331
- MATH 531
- I SY E 210
- B M E 325
- I SY E 210
- B M E 325
- I SY E 210 or B M E 325
- graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Any of
- Any of
- Any of
- STAT 311
- STAT 324
- STAT 333
- STAT 340
- STAT 371
- MATH/STAT 309
- MATH/STAT 409
- MATH/STAT 431
- MATH 331
- MATH 531
- I SY E 210
- B M E 325
- I SY E 210
- B M E 325
- I SY E 210 or B M E 325
- graduate/professional standing
- All of
Professors
Fall 2026Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 51 / 50 | 11 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
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.
difficulty & workload
No workload feedback recorded.
Topics
Skills
Grades
Grade distribution · % of letter grades
No grades available yet.
More grade details Grade mix, volume & source data
Sources & history
UW–Madison
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Intelligent Robotics
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:266:027414",
"course_id": "COMPSCI 580",
"course_uid": "course_9f5a0a657584417fe8b859f7",
"term_id": "1272",
"source_course_id": "027414",
"source_subject_id": "266",
"title": "Intelligent Robotics",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
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Student reviews
Original comments behind the course and instructor summaries.
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Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "b19c26c733059eba265557aa1d46b5e33ae9a524bb7275f39e17bede0b9fa0ce",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}