OMSCS·HubSign in
CS 76383 credit hours

AI for Robotics(AI4R)

Probabilistic techniques for autonomous systems: localization, Kalman filters, particle filters, SLAM, and PID control.

Computational Perception & Robotics · coreMachine Learning · electiveroboticsPythonmath

Distributions

Difficulty
3.3of 5
n = 20
0
2
11
6
1
1
2
3
4
5
Weekly workload
16.1hrs/wk
n = 20
0
1
6
7
5
1
0
0
<5
5–9
10–14
15–19
20–24
25–29
30–34
35+
Overall rating
4.0of 5
n = 20
0
1
4
8
7
1★
2★
3★
4★
5★

Logistics

Terms offered
Fall
Spring
Summer
Prerequisites
  • Probability
  • Linear algebra
Counts toward
  • Computational Perception & Roboticscore
  • Machine Learningelective

Reviews (20)

Add your review

Verified Georgia Tech email required. Review appears as OMSCS Hub, not OMSCentral.

Sign in to review
20 of 20
  1. 4 / 5
    Difficulty3/5Workload16 hr/wkRecommendYes

    Would I take it again? Yes. The course rewards consistent weekly effort.

  2. 5 / 5
    Difficulty3/5Workload16 hr/wkRecommendYes

    Took this in Spring 2024. Workload averaged ~16 hrs/wk. Difficulty felt fair. Reasonable tooling, no setup hell.

  3. 4 / 5
    Difficulty4/5Workload10 hr/wkRecommendYes

    Took this in Fall 2024. Workload averaged ~10 hrs/wk. Difficulty felt hard. Instructors engage in forums.

  4. 3 / 5
    Difficulty3/5Workload16 hr/wkRecommendYes

    Took this in Summer 2024. Workload averaged ~16 hrs/wk. Difficulty felt fair. Lectures are well-produced.

  5. 5 / 5
    Difficulty3/5Workload16 hr/wkRecommendYes

    Took this in Fall 2023. Workload averaged ~16 hrs/wk. Difficulty felt fair. Pacing is reasonable.

  6. 4 / 5
    Difficulty3/5Workload10 hr/wkRecommendYes

    Honest review: fair class, light workload. Loved assignments build on each other. Hated lectures feel dated in spots.

  7. 3 / 5
    Difficulty4/5Workload11 hr/wkRecommendYes

    hard pace, light hours weekly. Coming in I had limited Python exposure. Glad I stuck with it.

  8. 3 / 5
    Difficulty3/5Workload17 hr/wkRecommendYes

    Honest review: fair class, moderate workload. Loved solid foundation for follow-on courses. Hated exam format feels punishing.

  9. 5 / 5
    Difficulty4/5Workload21 hr/wkRecommendYes

    If you have no recent academic study, this is approachable. Otherwise plan for ~21 hrs/wk and a few late nights.

  10. 3 / 5
    Difficulty3/5Workload12 hr/wkRecommendYes

    fair pace, light hours weekly. Coming in I had limited Python exposure. Glad I stuck with it.

  11. 5 / 5
    Difficulty5/5Workload25 hr/wkRecommendYes

    Project-driven course. Most of the 25 hrs/wk go to assignments rather than lectures.

  12. 4 / 5
    Difficulty3/5Workload15 hr/wkRecommendYes

    Took this in Fall 2024. Workload averaged ~15 hrs/wk. Difficulty felt fair. Projects feel real-world.

  13. 5 / 5
    Difficulty4/5Workload20 hr/wkRecommendYes

    If you have industry experience in backend, this is approachable. Otherwise plan for ~20 hrs/wk and a few late nights.

  14. 5 / 5
    Difficulty4/5Workload24 hr/wkRecommendYes

    hard pace, moderate hours weekly. Coming in I had industry experience in backend. Glad I stuck with it.

  15. 4 / 5
    Difficulty3/5Workload14 hr/wkRecommendYes

    Took this in Summer 2023. Workload averaged ~14 hrs/wk. Difficulty felt fair. Assignments build on each other.

  16. 5 / 5
    Difficulty3/5Workload14 hr/wkRecommendYes

    Honest review: fair class, light workload. Loved lectures are well-produced. Hated vague rubrics on writeups.

  17. 4 / 5
    Difficulty4/5Workload22 hr/wkRecommendYes

    hard pace, moderate hours weekly. Coming in I had limited Python exposure. Glad I stuck with it.

  18. 4 / 5
    Difficulty2/5Workload20 hr/wkRecommendYes

    Honest review: manageable class, moderate workload. Loved instructors engage in forums. Hated limited ta availability near deadlines.

  19. 4 / 5
    Difficulty3/5Workload7 hr/wkRecommendYes

    Honest review: fair class, light workload. Loved assignments build on each other. Hated lectures feel dated in spots.

  20. 2 / 5
    Difficulty2/5Workload17 hr/wkRecommendNo

    Project-driven course. Most of the 17 hrs/wk go to assignments rather than lectures.