Lee Milburn's
Portfolio

About Me

I am a Robotics MSE candidate within the General Robotics, Automation, Sensing, and Perception (GRASP) Lab at the University of Pennsylvania, Philadelphia PA. I was previously an undergraduate researcher within the Institute for Experiential Robotics at Northeastern University, Boston MA. There, I received my BS degree in computer engineering and computer science.
My professional interest is robotics research. I want to explore how autonomous mobile robotics can battle the effects of climate change. My interests lie at the intersection of learning control and computer vision.

Personally I enjoy activities such as running, travel and writing longform stories. I recently completed the 2024 Philadelphia Marathon and in 2022 I worked in Genova Italy for 6 months as robotics guest researcher. One day I would love to hike the Pacific Crest Trail and get a tattoo. But tattoos scare me.

Publications

Conference Papers
  1. L. Milburn, J. Chiaramonte, J. Fenton and T. Padir, "TRASH: Tandem Rover and Aerial Scrap Harvester," 2023 Robotics Automation and Artificial Intelligence (RAAI), Singapore, Singapore, 2023, pp. 259-265, doi: 10.1109/RAAI59955.2023.10601262.
  2. L. Milburn, J. Gamba, M. Fernandes and C. Semini, "Computer-Vision Based Real Time Waypoint Generation for Autonomous Vineyard Navigation with Quadruped Robots," 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Tomar, Portugal, 2023, pp. 239-244, doi: 10.1109/ICARSC58346.2023.10129563.
  3. M. H. Shaham, M. Skopin, H. Hochsztein, K. Mabulu, L. Milburn, J. Tukpah, A. Tunik, J. Winn, M. Zolotas, D. Erdogmus, and T. Padir, "Human-Supervised Automation Test Cell to Accelerate Personal Protective Equipment Manufacturing During the COVID-19 Pandemic," in 2022 IEEE International Symposium on Technologies for Homeland Security (HST), Boston, MA, USA, 2022, pp. 1-8, doi: 10.1109/HST56032.2022.10025429.
Extended Abstracts
  1. R. Tumu, A. Amine, L. Milburn, L. Jia, K. Liu, U. Kono, and R. Mangharam, "Physics-Constrained and Vision-Informed Friction Coefficient Estimation," in 40th Anniversary of the IEEE International Conference on Robotics and Automation, November 23-26, 2024.
  2. L. Milburn, J. Chiaramonte, J. Fenton, T. Padir "Towards an Error Tolerant Multi-Robot System for Roadside Trash Collection," in 2022 International Symposium on Distributed Autonomous Robotic Systems, November 25-28, 2022.
  3. L. Milburn, J. Gamba, and C. Semini, "Towards Computer-Vision Based Vineyard Navigation for Quadruped Robots," in 2022 Institute for Robotics and Intelligent Machines, October 7-9, 2022. https://doi.org/10.5281/zenodo.7531328