{"id":1497,"date":"2022-10-28T17:24:45","date_gmt":"2022-10-28T17:24:45","guid":{"rendered":"https:\/\/smartsystems.ece.ufl.edu\/?page_id=1497"},"modified":"2022-10-28T17:24:45","modified_gmt":"2022-10-28T17:24:45","slug":"derek-perdomo","status":"publish","type":"page","link":"https:\/\/faculty.eng.ufl.edu\/smartsystems\/people\/derek-perdomo\/","title":{"rendered":"Derek Perdomo"},"content":{"rendered":"

Biography<\/h2>\n

\"\"<\/p>\n

Derek Perdomo is currently pursuing his Master of
\nScience degree in Electrical and Computer Engineering
\nat the University of Florida. He works in the Smart
\nSystems Robotics Lab at the University of Florida,
\nwhere he is focused on enhancing 3D pose estimation
\nby utilizing Extended Leading Fields. After this
\nsemester, Derek will begin a new chapter in his career
\nas a Level 2 Software Engineer at Lockheed Martin in
\nMarietta, Georgia, where he will write software and
\ntests for display integration on the C-130J aircraft.<\/p>\n

Derek’s educational journey began when he earned his
\nBachelor’s Degree in Computer Engineering at the
\nUniversity of Florida this past spring. He took
\nadvantage of the Department of Electrical and Computer Engineering’s combined degree program to
\npursue his graduate studies in Electrical and Computer Engineering. Moreover, Derek continues to
\nparticipate in engineering organizations on campus, such as the Society of Hispanic Professional
\nEngineers (SHPE).<\/p>\n

In the Smart Systems Robotics Lab, Derek is working on creating an occlusion-resilient approach to 3D
\npose estimation utilizing Extended Leading Fields, ROS, and Python. This enhanced estimation model
\nwill allow robotic arms to be further aware of their surroundings, including humans, tools, and other
\nrobotic arms. This research will have significant implications in the field of robotics, particularly in the
\nareas of manufacturing, assembly, and human-robot collaboration.<\/p>\n

Research Interest<\/h2>\n

Computer Vision, Robotics<\/p>\n

Coursework<\/h2>\n