Joseph Letobar

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01

Open-World Robot Memory (GTRI)

A robotics research project focused on open-world memory for embodied agents. The goal is to help robots retain, retrieve, and reason over observations from changing environments instead of treating every scene as isolated. This project sits at the intersection of robotics, perception, and long-term autonomy. More details, demo media, and links can be added here as the project becomes shareable.

02

EMG Prosthetic Hand Control (LIMB)

A human-machine interaction project for controlling a prosthetic hand using EMG signals. The system combines signal processing, machine learning, embedded programming, and wireless control to make prosthetic motion feel more intuitive. The project is developed through the Laboratory for Interaction of Machine and Brain at UCF.

  • 70% improvement in control intuitiveness
  • Wireless control
  • Human-subject testing
03

AR Bowling Analytics

An augmented-reality bowling analytics project using Meta glasses, lane segmentation, ball tracking, and AR overlay concepts. The system is intended to understand the lane, track the ball, and surface useful feedback directly in the bowler's field of view.

Dec 2025 - Present Orlando, FL

Lockheed Martin

Quality Engineer (Part time)

  • Deployed an Edge AI vision system for quality automation, spanning image acquisition and model training to automation logic and production integration
  • Implemented machine learning methods for hyperspectral imaging analysis during material curing, including classification, segmentation, and regression modeling
Jul 2025 - Present University of Central Florida

Laboratory for Interaction of Machine and Brain

Undergraduate Researcher

May 2026 - Aug 2026 Atlanta, GA

Georgia Tech Research Institute

Research Intern

Expected Aug 2028 Orlando, FL

University of Central Florida

Bachelors of Science in Computer Science