EECE 5552 — Assistive Robotics
4 semester hoursGraduateLectureusually offered: falltypical days: T/FBostonSeattle, WATraditional
Investigates the what (modeling), how (design), and why (analysis) of assistive robotics through the use of model-based design process. System models are essential to four key aspects of the assistive robot design process: derivation of executable specifications, hardware and software design based on simulations, implementation by code generation, and continuous testing and verification. Topics may include modeling continuous and discrete dynamics, heterogeneous models, hybrid systems, stochastic models, models of computation, analysis and design of embedded control systems with applications in assistive robotics, system simulation, and validation and verification techniques. Course projects emphasize model-based design for control of assistive robots in smart environments.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 44 | 49 | 90% | 5.0 |
| Fall 2024 | 1 | 45 | 49 | 92% | 4.0 |
| Fall 2025 | 1 | 47 | 49 | 96% | 2.0 |
| Spring 2026 | 1 | 9 | 16 | 56% | 7.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 6% · T 94% · W 6% · Th 0% · F 94%
Common patterns: TF (94% of sections), MW (6% of sections) — in patterns, R means Thursday
Professors
Fall
- Alireza Ramezani (67% of students) · reviews
- Salah Bazzi (33% of students) · reviews
Spring
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (EECE course descriptions) · Student reviews on RateMyHusky · All EECE courses · Plan it at numap.app