I am currently a Project Engineer with Triton Systems’ Robotics and Anti-Tamper group. At Triton, I’ve developed a proof-of-concept autonomous UGV using ROS, simulated multi-robot navigation leveraging Gazebo, and prototyped energy-based control systems for robotic landing gear. Prior to Triton, I’ve spent over seven years designing, modeling and programming electromechanical hardware. At Craig Technologies, I provided engineering and integration support to NASA’s Space Launch System Mobile Launcher Project at the Kennedy Space Center.

Monocular Depth Estimation with Serial U-Net

I am a graduate of Temple University with a Bachelor of Science degree in Mechanical Engineering and recently finished my Master’s degree in Robotics Engineering from Worcester Polytechnic Institute (WPI). My graduate studies have included coursework in robotic control systems, advanced robot navigation, and deep learning for robot perception. I worked with WPI’s Manipulation and Environmental Robotics (MER) Lab to implement vision-based key insertion algorithms on a Franka Emika Panda arm using MoveIt. I recently published “Practical Depth Estimation with Image Segmentation and Serial U-Nets” which won the Best Paper Award at the 6th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS). My current interests are robot perception, navigation, autonomous systems, and deep learning.

You can find my GitHub here.