Skip Navigation
Home > Who We Are > People > Deegan Atha

People

Personal Page Publications
Deegan Atha

Address:

4800 Oak Grove Drive
M/S 198-219

Pasadena, CA 91101

Member of:

347J - Perception Systems

Deegan Atha

Robotics Technologist

Biography

Deegan Atha is a robotics technologist in the Perception Systems group. He joined after completed his Bachelors in Electrical Engineering from Purdue University. Prior to JPL, Deegan was at NASA Langley where he researched perception algorithms for UAVs. While at Purdue, he conducted research on robotic visual inspection of structures.

Education

B.S. Electrical Engineering, Purdue University, 2017

Professional Experience

Robotics Intern at JPL in the Maritime and Aerial Perception Group, Summer 2017
Research Assistant at Purdue University in the Smart Informatix Lab, 2016-2017
Robotics Intern at NASA Langley Research Center in the Autonomy Incubator, Fall 2015 and Summer 2016
Research Assistant at Purdue University in the CAM2 (Continuous Analysis of Many CAMeras) Lab, 2015-2016
Software Engineer Intern at GE Healthcare in the Computed Tomography, Summer 2015
Software Engineer Intern at ACES, Summer 2014

Research Interests

Machine learning
Computer vision
Multi-agent systems

Publications

2024
  1. D. Atha, R. M. Swan, A. Cauligi, A. Bettens, E. Goh and D. Kogan, L. Matthies, and M. Ono,, "ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness," IEEE Transactions on Field Robotics, 14 September 2024.
2023
  1. Abhishek Cauligi, R. Michael Swan, Masahiro Ono, Shreyansh Daftry, John Elliott, Larry Matthies, Deegan Atha, "ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation," IEEE Aerospace Conference, Big Sky, MT, 04 March 2023.
2022
  1. R. Schmid, D. Atha, F. Schöller, S. Dey, S. Fakoorian, K. Otsu, B. Ridge, M. Bjelonic, L. Wellhausen, M. Hutter, A. Agha-mohammadi, "Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain," 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 12419-12425, 23 October 2022.
  2. Kamak Ebadi, Kyle Coble, Dima Kogan, Deegan Atha, Russell Schwartz, Curtis Padgett, Joshua Vander Hook, "Toward Autonomous Localization of Planetary Robotic Explorers by Relying on Semantic Mapping," IEEE Aerospace Conference, Big Sky, MT, pp. 1-10, 05 May 2022.
  3. Larry Matthies, Shreyansh Daftry, Scott Tepsuporn, Yang Cheng, Deegan Atha, R. Michael Swan Sanjna Ravichandar and Masahiro Ono, "Lunar Rover Localization Using Craters as Landmarks," IEEE Aerospace Conference (AERO), 05 March 2022.
  4. D. Atha, R. M. Swan, A. Didier, Z. Hasnain, M. Ono, "Multi-mission Terrain Classifier for Safe Rover Navigation and Automated Science," 2022 IEEE Aerospace Conference (AERO), pp. 1-13, 05 March 2022.
2021
  1. R. M. Swan, D. Atha, H. Leopold, M. Gildner, S. Oij, C. Chiu, and M. Ono, "AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1982-1991, 01 January 2021.