Each team of three students designs and fabricates a proof-of-concept system that solves a Laboratory problem. These multi-disciplinary projects require students to collaborate across engineering and science disciplines.
This project developed a three-axis gimbal for calibrating inertial measurement units (IMUs) and other sensors through controlled positioning and rotation. The system supports calibration of sensors installed within a payload and combines programmable motion control, a custom sensor data acquisition board, and a LabVIEW interface to automate test sequences and display sensor and system data.
Sponsor and Collaborator: Engineering Technology Maturation and A-3
This project developed a robotic proof of concept for automatically loading and unloading PCR cartridges in an iSeq sequencer. The system combines a UR5e robotic arm, ROS 2 controls, computer vision, and automated sequencer interaction. An Isaac Sim digital twin supports reinforcement learning for handling varying cartridge positions, while force limits and motion boundaries help protect the equipment during transfers.
Sponsor and Collaborator: Directed Stockpile Work Program Integration Office and BIO-GEN
This project developed a digital twin of a robotic glovebox system, to support remote monitoring and reduce the need for direct observation during verification and validation. Built in Isaac Sim, the prototype integrates computer vision, ROS 2 communication, and sensor data to track physical system activity and monitor system health. An operator interface and virtual reality capabilities support remote observation, while the simulation provides a foundation for predictive maintenance and testing responses to unusual operating conditions.
Sponsor and Collaborator: Directed Stockpile Work Program Integration Office and E-3
This project focused on developing a robotic system to pick up a blank, apply lubricant to both sides, and stage it for hydroforming. The system is intended to improve lubrication repeatability, reduce manufacturing defects, and help control process variation while evaluating different materials and techniques.
Sponsor and Collaborator: Engineering Technology Maturation and SIGMA-1
