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Masahiro (Hiro) Ono

Address:

4800 Oak Grove Drive
M/S 198-219

Pasadena, CA 91109

Member of:

347F - Robotic Mobility

Masahiro (Hiro) Ono

Group Supervisor

Biography

Masahiro (Hiro) Ono is a Research Technologist and the Group Supervisor of the Robotic Surface Mobility Group. His primary interest is to enable the exploration of previously inaccessible planetary destinations through innovative robotic systems, combining versatile mobility and intelligent onboard autonomy. To this goal, he led a number of high-profile research projects. Most notably, he served as the PI of the EELS (Exobiology Extant Life Surveyor) project, which received ~$15M investment to develop a snake-like robot for enabling the exploration of the subsurface ocean of Enceladus through its erupting vent. Previously, he led the MAARS (Machine learning-based Analytics for Automated Rover Systems) project to explore a new paradigm of planetary surface exploration with a highly automated system. Other projects that he led include three NIAC studies on Enceladus Vent Explorer (Phase I and II) and Comet Hitchhiker (Phase I), funded by NASA's STMD, as well as the Human-cooperative Risk-aware Autonomy project funded by ONR.


He also has substantial flight project experiences, particularly on the Mars 2020 Rover Mission, where he led the Surface Traversability Analysis for the landing selection, developed the enhanced autonomous driving capability, and supported tactical uplink and downlink operations of the rover. He received JPL's Software of the Year Award in 2021 for the ML-based terrain classifier, which was used for the M2020 landing selection and MSL ground operation. He also ran a highly successful crowdsourcing project called AI4Mars to collect the training dataset for the terrain classifier, which was participated by ~17K volunteers on the internet. Previously, he also contributed to the development of autonomous sampling site selection for Europa Lander.

Education

- PhD, Aeronautics and Astronautics, Massachusetts Institute of Technology, 2012
- MS, Technology and Policy, Massachusetts Institute of Technology, 2012
- MS, Aeronautics and Astronautics, Massachusetts Institute of Technology, 2007
- BS, Aeronautics and Astronautics, The University of Tokyo, 2005

Professional Experience

- Research Technologist, Jet Propulsion Laboratory, California Institute of Technology (2013 - )
- Research Associate (equivalent of tenure-track faculty), Keio University (2012-2013)

Research Interests

Planetary robotic systems, robotic autonomy, surface mobility, machine learning, risk-aware planning

Papers (Google Scholar): https://scholar.google.com/citations?user=EUeMNlsAAAAJ&hl=en&authuser=1&oi=ao

Talks:

Publications

2024
  1. T. S. Vaquero, G. Daddi, R. Thakker, M. Paton, A. Jasour, M. Strub, R. M. Swan, R. Royce, M. Gildner, P. Tosi, M. Veismann, P. Gavrilov, E. Marteau, J. Bowkett, D. Loret de Mola Lemus, Y. Kumar Nakka, B. Hockman, A. Orekhov, T. Hasseler, C. Leake, B. Nuernberger, P. Proenca, W. Reid, W. Talbot, N. Georgiev, T. Pailevanian, A. Archanian, E. Ambrose, J. Jasper, R. Etheredge, C. Roman, D. Levine, K. Otsu, S. Yearicks, H. Melikyan, R. Rieber, K. Carpenter, J. Nash, A. Jain, L. Shiraishi, M. Robinson, M. Travers, H. Choset, J. Burdick, A. Gardner, M. Cable, M. Ingham, and M. Ono, "EELS: Autonomous Snake-like Robot with Task and Motion Planning Capabilities for Ice World Exploration," Science Robotics, vol. 9, no. 88, 13 March 2024.
  2. M. Paton, R. Rieber, S. Cruz, M. Gildner, C. Abma, K. Abma, S. Aghli, E. Ambrose, A. Archanian, E. Bagshaw, C. Baroco, A. Blackstock, J. Bowkett, M. Cable, E. Cartaya, G. Daddi, T. Drevinskas, R. Etheredge, T. Gall, A. Gardner, P. Gavrilov, N. Georgiev, K. Graham, B. Hockman, B. Jones, S. Linn, M. Malaska, E. Marteau, N. Maslen, H. Melikyan, Y. Kumar Nakka, J. Nelson, M. Pazzini, M. Peticco, M. Prior-Jones, M. Robinson, C. Roman, R. Royce, M. Ryan, L. Shiraishi, C. Stenner, M. Strub, R. M. Swan, B. Swerdlow, R. Thakker, L. P. Tosi, T. Tran, T. Stegun Vaquero, M. Veismann, T. Wood, H. Zade, M. Ono, "2023 EELS Field Tests at Athabasca Glacier as an Icy Moon Analogue Environment," 2024 IEEE Aerospace Conference, Big Sky, MT, USA, 05 March 2024.
  3. M. Ono, R. Thakker, N. Georgiev, P. Gavrilov, A. Archanian, T. Drevinskas, G. Daddi, M. Paton, H. Melikyan, T. Pailevanian, C. Lopez, E. Ambrose, B. Jones, L. Tosi, M. Gildner, B. Hockman, D. Loret de Mola Lemus, D. Pastor Moreno, T. Hasseler, Y. Kumar Nakka, E. Marteau, B. Nuernberger, M. Peticco, M. Cable, P. Proenca, M. Malaska, J. Bowkett, A. Jasour, M. Ingham, J. Nash, D. Balentine, A. Barchowsky, F. Bevreng, K. Botteon, M. Caballero, K. Carpenter, M. Chodas, A. Daca, J. Feldman, A. Gardner, A. Goddu, A. Jain, C. Jin, M. Khanum, R. Kornfeld, G. Mark, B. Morrell, J. Naish, W. Reid and R. Etheredge, "To Boldly Go Where No Robots Have Gone Before – Part 1: EELS Robot to Spearhead a New One-Shot Exploration Paradigm with In-situ Adaptation," AIAA Scitech 2024 Forum, Orlando, Florida, USA, pp. 1-23, 08 January 2024.
  4. R. Thakker, M. Paton, M. Strub, M. Swan, T. Vaquero, B. Jones, G. Daddi, R. Royce, J. Bowkett, D. Loret de Mola Lemus, D. Pastor Moreno, Y. Kumar Nakka, K. Otsu, T. Hasseler, C. Leake, B. Nuernberger, P. Proenca, W. Talbot, A. Orekhov, A. Jain, M. Robinson, R. Etheredge, M. Travers, H. Choset, M. Ingham, J. Burdick and M. Ono, "To Boldly Go Where No Robots Have Gone Before – Part 4: NEO Autonomy for Robustly Exploring Unknown, Extreme Environments with Versatile Robots," AIAA Scitech 2024 Forum, Orlando, Florida, USA, pp. 1-14, 08 January 2024.
2023
  1. W. Talbot, J. Nash, M. Paton, E. Ambrose, B. Metz, R. Thakker, R. Etheredge, M. Ono, V. Ila, "Principled ICP Covariance Modelling in Perceptually Degraded Environments for the EELS Mission Concept," 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 10763-10770, 01 October 2023.
  2. 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.
  3. I. Nesnas, A. Johnson, T. Tzanetos, M. Maimone, M. McHenry, H. Ono, S. Chien, and B. Kennedy, "Robotics and Autonomy for Space Applications," Invited seminar by the Engineering Department at Universidad Autónoma de San Luis Potosi, Mexico, 01 January 2023.
2022
  1. Shreyansh Daftry, Neil Abcouwer, Tyler Del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono, "MLNav: Learning to Safely Navigate on Martian Terrains," IEEE Robotics and Automation Letters (RA-L), 07 March 2022.
  2. V. Verma, F. Hartman, A. Rankin, M. Maimone, T. Del Sesto, O. Toupet, E. Graser, S. Myint, K. Davis, D. Klein, J. Koch, S. Brooks, P. Bailey , H. Justice, M. Dolci, H. Ono, "First 210 solar days of Mars Perseverance Robotic Operations - Mobility, Robotics Arm, Sampling, and Helicopter," IEEE Aerospace Conference, 05 March 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.
  5. K. Hand, C. Phillips, A. Murray, et al., "Science Goals and Mission Architecture of the Europa Lander Mission Concept," The Planetary Science Journal, vol. 3, iss. 1, 26 January 2022.
2021
  1. K. Carpenter, M. Cable, M. Choukroun, H. Ono, R. Thakker, M. Ingham, P. McGarey, A. Barchowski, S. Iacoponi, J. Bowkett, W. Reid, E. Marteou, "Venture Deep, the Path of Least Resistance: Crevasse-Based Ocean Access Without the Need to Dig or Drill," Bulletin of the American Astronomical Society, vol. 53, no. 4, pp. 356, 01 January 2021.
  2. 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.