IEEE Standard 1872.1 Contribution
Helped develop IEEE Standard 1872.1 for Robot Ontology: Robot Task Representation.
AI + ROBOTICS
Brian Fogelson
I enjoy building software that's useful, especially at the intersection of robotics, AI, and embedded systems. Most of my recent work has been in medical devices and autonomous systems.
Brian Fogelson is a robotics and AI engineer based in Baltimore, Maryland.
COMMUNITY INVOLVEMENT
Community-focused engineering work
My favorite projects involve helping my community through mentoring, education, and shared standards.
FIRST Robotics Mentor and Judge
Mentor and judge for FRC Team 4541, the Cavineers.
Graduate Student Instructor, University of Michigan
Taught an Intro to Engineering class focused on human factors, culminating in a robot arm controlled by wearable sensors with Arduino.
HKN / IEEE President at Hopkins
Served as president of the HKN/IEEE student chapter at Johns Hopkins University.
TIMELINE
Career, Projects, and Milestones
A more complete timeline of school, work, and projects. I would rather be over-inclusive here than leave out the things that shaped how I work.
Locally Hosted RAG Chatbot
Building an internal RAG assistant to support engineering and business workflows.
Joined Key Technologies
I am now leading work that spans medical-device prototyping, embedded software, and AI tooling.
Engineering Operations for Unmanned Ships
Enabled unmanned ships to perform self-diagnostics and repair.
Joined Weather Gage Technologies
Led autonomy-related software efforts for unmanned maritime systems, including tasking, autonomy behaviors, voice control, and validation tooling.
Graduated from the University of Michigan
Completed an M.S. in Robotics, focusing on AI, ML, controls, and human-centered systems.
Taught ENG100 at Michigan
Taught a human-factors-focused intro to engineering course where students built a robot arm controlled by wearable sensors and Arduino.
Northrop Grumman Internship
Built a novel decentralized task-allocation algorithm that saved time and fuel in the real-world.
Reinforcement Learning for Ridesharing
Compared deep RL methods for taxi assignment, including QMIX, and published the work.
COVID Face Mask Detection
Built a real-time face-mask detection system using transfer learning on ResNet50 to classify masked, improperly masked, and unmasked faces from webcam video.
Exoskeleton Transition Detection
Compared EMG-based approaches for anticipating gait transitions, including LSTM RNN models.
Robotic Manipulator with Vision
Integrated camera-based perception with arm control to detect and manipulate target objects.
BalanceBot
Designed and tuned a self-balancing robot with closed-loop control for stable real-time operation.
Maze-Solving SLAM Robot
Built an autonomous robot that mapped unknown mazes and navigated to goal points using SLAM.
Started at the University of Michigan
Began M.S. work in Robotics, focusing on controls, perception, learning, and human-centered systems.
Booz Allen Hamilton
Worked on machine learning approaches for anomaly detection in industrial control systems and smart-home environments.
Graduated from Johns Hopkins University
Double majored in Electrical Engineering and Computer Engineering, with minors in Entrepreneurship and Management, Robotics, and Computer Science. Charles A. Conklin Scholar for Distinguished Academic Achievement, General Honors, and Departmental Honors.
HKN / IEEE President at Hopkins
Led the student chapter and helped organize engineering-centered community and professional programming.
Event Music App
Built a webapp and iOS app to crowdsource music playlists at events with voting and automatic per-genre music library importing.
Plant Watering Bot
Built a bot for automated plant care using sensors, actuators, and embedded control.
BLAM Lab Rehabilitation Device Work
Helped improve sensing and mechanical design for a hand device aimed at supporting motor-skill recovery after brain injury.
Battle Robot
Used vision to detect an opposing robot target and fire ping pong balls, while defensive behavior avoided incoming shots and wrote an SOS message in Morse code.
Started at Johns Hopkins University
Began undergraduate studies in electrical and computer engineering.
BKM Associates
Worked on electrical design for commercial buildings in Baltimore, Maryland.
Graduated from Gilman School
Finished high school in Baltimore and started moving toward engineering and robotics work.
WORK EXPERIENCE
Resume Highlights
Lead Computer Engineer - Medical Devices and Artificial Intelligence
Key Technologies · Baltimore, MD · Apr 2024 - Present
- Lead AI initiative for a locally hosted RAG chatbot that supports engineering workflows.
- Write and test software in embedded C++, C, Python, and C# for medical device prototypes.
Software Engineer - Artificial Intelligence and Autonomy
Weather Gage Technologies · Annapolis, MD · Jan 2021 - Apr 2024
- Led a team of engineers building compliance-oriented engineering operations software for unmanned ships.
- Developed decentralized task allocation, autonomy behaviors, voice-control, and LVC testing systems for autonomy validation.
Systems Engineering Graduate Student Intern - Artificial Intelligence
Northrop Grumman · Baltimore, MD (Remote) · Jun 2020 - Aug 2020
- Invented decentralized task allocation algorithm that completed tasks 10% faster with reduced fuel usage.
- Received engineering award recognition for algorithm performance and impact.
Software Engineering Intern - Machine Learning for Cyber Security Applications
Booz Allen Hamilton · Annapolis Junction, MD · Jun 2018 - Aug 2019
- Developed machine learning algorithms to detect anomalies in industrial control systems and smart homes.
SKILLS