EECE 5554 — Robotics Sensing and Navigation

4 semester hoursGraduateLectureusually offered: fall, springtypical days: M/WBostonSeattle, WATraditional

Examines the actual sensors and mathematical techniques for robotic sensing and navigation with a focus on sensors such as cameras, sonars, and laser scanners. These are used in association with techniques and algorithms for dead reckoning and visual inertial odometry in conjunction with GPS and inertial measurement units. Covers Kalman filters and particle filters as applied to the SLAM problem. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. Labs incorporate real field sensors and platforms. Culminates with both an individual design project and a team-based final project of considerable complexity.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 202338414757%21.0
Spring 20242879691%4.5
Fall 2024210010397%1.5
Spring 20251424691%4.0
Fall 2025310712884%7.0
Spring 202638811477%8.7

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 74% · T 26% · W 61% · Th 41% · F 26%

Common patterns: MW (33% of sections), MWR (27% of sections), TF (26% of sections), MR (13% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

EECE 7150

Courses that list EECE 5554 in their prerequisites.

Links

Official catalog (EECE course descriptions) · Student reviews on RateMyHusky · All EECE courses · Plan it at numap.app