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Publications

Selected Publications

Below are several papers describing recent results from the NeBula framework:

  • "NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge," Accepted for publication in the Journal of Field Robotics, 2021. [PDF]
  • "Autonomous Spot: Long-range Autonomous Exploration of Extreme Environments with Legged Locomotion," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020. Best Paper Award on Safety, Security, and Rescue Robotics.[PDF] [Video]
  • "Deep Learning Tubes for Tube MPC," Robotics: Science and Systems (RSS), Corvallis, USA, 2020. [PDF]
  • “Confidence-rich 3D Grid Mapping,” International Journal of Robotics Research (IJRR), vol.38, pp.1352-1374, 2019. [PDF]
  • "Autonomous Navigation of Drones,” The International Symposium on Robotics Research (ISRR). Hanoi, Vietnam, 2019. [PDF]
  • “Bi-directional Value Learning for Risk-aware Planning Under Uncertainty,” IEEE Robotics and Automation Letters (RA-L), vol.4, no.3, pp.2493-2500, March, 2019. [PDF]
  • "LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments," IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020. [PDF]
  • "LOCUS - LiDAR Odometry for Consistent Operation in Uncertain Settings", IEEE Robotics and Automation Letters (RA-L). 2020. [PDF][Video]
  • “Contact Inertial Odometry: Collisions are your Friend,” The International Symposium on Robotics Research (ISRR), Hanoi, Vietnam, 2019. [PDF]

Below is a list of papers describing recent results from the NeBula framework and papers that the NeBula framework is built on:

  • Ali-Akbar Agha-Mohammadi, et al., NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge," Accepted for publication in the Journal of Field Robotics, 2021. [PDF]
  • David D. Fan*, Kyohei Otsu*, Yuki Kubo, Anushri Dixit, Joel Burdick, and Ali-Akbar Agha-Mohammadi, STEP: Stochastic Traversability Evaluation and Planning for Safe Off-road Navigation," Under review, 2021. [PDF]
  • S.K. Kim∗, A. Bouman∗, G. Salhotra, D. D. Fan, K. Otsu, J. Burdick, and Ali-Akbar Agha-Mohammadi, “PLGRIM: Hierarchical value learning for large-scale exploration in unknown environments,” in Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), vol. 31, Guangzhou, China, 2021. [PDF]
  • Muhammad Fadhil Ginting, Kyohei Otsu, Jeffrey Edlund, Jay Gao, and Ali-Akbar Agha-Mohammadi, “CHORD: Distributed Data-sharing via Hybrid ROS 1 and 2 for Multi-robot Exploration of Large-scale Complex Environments,” IEEE Robotics and Automation Letters (RA-L), 2021. [PDF]
  • Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, and Ali-akbar Agha-mohammadi, “LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments,” International Symposium on Experimental Robotics (ISER), Floriana, Malta, 2021. [PDF]
  • Rohan Thakker, Nikhilesh Alatur, David D. Fan, Jesus Tordesillas, Michael Paton, Kyohei Otsu, Olivier Toupet and Ali-akbar Agha-mohammadi, “Autonomous Off-road Navigation over Extreme Terrains with Perceptually-challenging Conditions,” International Symposium on Experimental Robotics (ISER), Floriana, Malta, 2021. [PDF] [Video]
  • Hyungho Chris Choi, Inhwan Wee, Micah Corah, Sahand Sabet, Taeyeon Kim, Thomas Touma, David Hyunchul Shim, and Ali-akbar Agha-mohammadi, “BAXTER: Bi-modal Aerial-Terrestrial HybridVehicle for Long-endurance Versatile Mobility,” International Symposium on Experimental Robotics (ISER), Floriana, Malta, 2021. [PDF]
  • Kamak Ebadi, Matteo Palieri, Sally Wood, Curtis Padgett, and Ali-akbar Agha-mohammadim, "DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments," Journal of intelligent and robotic systems, 2021. [PDF]
  • Marcel Kaufmann, Tiago Stegun Vaquero, Kyohei Otsu, Giovanni Beltrame, Ali-akbar Agha-mohammadi, “Copilot MIKE: An Autonomous Assistant for Multi-Robot Operations in Cave Exploration,” IEEE Aerospace Conference, Big Sky Resort, USA, 2021.

  • Amanda Bouman*, Muhammad Fadhil Ginting*, Nikhilesh Alatur*, Matteo Palieri, David D. Fan, Thomas Touma, Torkom Pailevanian, Sung-Kyun Kim, Kyohei Otsu, Joel Burdick, and Ali-akbar Agha-mohammadi, “Autonomous Spot: Long-range Autonomous Exploration of Extreme Environments with Legged Locomotion,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020. [PDF] [Video]
  • Matteo Palieri, Benjamin Morrell, Abhishek Thakur, Kamak Ebadi, Jeremy Nash, Arghya Chatterjee, Christoforos Kanellakis, Luca Carlone, Cataldo Guaragnella, and Ali-akbar Aga-mohammadi, “LOCUS - LiDAR Odometry for Consistent Operation in Uncertain Settings,” IEEE Robotics and Automation Letters (RA-L). 2020. [PDF] [Video]
  • Nobuhiro Funabiki, Benjamin Morrell, Jeremy Nash and Ali-akbar Agha-mohammadi, "Range-Aided Pose-Graph-Based SLAM: Applications of Deployable Ranging Beacons for Unknown Environment Exploration," IEEE Robotics and Automation Letters (RA-L), vol.6, no.1, pp.48-55, 2020. [PDF]
  • Fan, David D., Ali-akbar Agha-mohammadi, and Evangelos A. Theodorou. "Deep Learning Tubes for Tube MPC." Robotics: Science and Systems, Corvallis, USA, 2020. [PDF]
  • K. Ebadi, Y. Change, M. Palieri, A. Stephens, A. H. Hatteland, E. Heiden, A. Thakur, B. Morrell, L. Carlone, A. Agha-mohammadi. "LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments," IEEE International Conference on Robotics and Automation (ICRA), Paris, France 2020. [PDF]
  • David D. Fan, Jennifer Nguyen, Rohan Thakker, Nikhilesh Alatur, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou. Bayesian Learning-Based Adaptive Control for Safety Critical Systems. IEEE International Conference on Robotics and Automation (ICRA), Paris, France. 2020. [PDF]
  • Pierre-Yves Lajoie, Benjamin Ramtoula, Yun Chang, Luca Carlone, Giovanni Beltrame. DOOR-SLAM:Distributed, Online, and Outlier Resilient SLAM for Robotic Teams. IEEE Robotics and Automation Letters, 2020. [PDF]
  • Andrew Kramer, Carl Stahoviak, Angel Santamaria-Navarro, Ali-akbar Agha-mohammadi and Christoffer Heckman, "Radar-Inertial Ego-Velocity Estimation for Visually Degraded Environments”, IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020. [PDF]
  • Takahiro Sasaki, Kyohei Otsu, Rohan Thakker, Sofie Haesaert, and Ali-akbar Agha-mohammadi, “Where to Map? Iterative Rover-Copter Path Planning for Mars Exploration,” IEEE International Conference on Robotics and Automation(ICRA), Paris, France, 2020. [PDF]
  • Benjamin Morrell, Matteo Palieri, Nobuhiro Funabiki, Abhishek Thakur, Jennifer G Blank, and Ali-akbar Agha-mohammadi, “Robotic Localization and Multi-Sensor, Semantic 3D Mapping for Exploration of Subsurface Voids,” American Geophysical Union (AGU), San Francisco, CA, 2020. [PDF] [Video]
  • Thomas Touma, Jennifer G. Blank, Muhammad Fadhil Ginting, Christopher Patterson, and Ali-akbar Agha-mohammadi, “Mars Dogs: Biomimetic Robots for the Exploration of Mars, from its Rugged Surface to its Hidden Caves,” American Geophysical Union (AGU), San Francisco, CA, 2020. [Video]
  • Marcel Kaufmann, Tiago Stegun Vaquero, Kyohei Otsu, and Ali-akbar Agha-mohammadi, “One Operator to Rule Them All: Human-Robot Interaction for Real-World and Analog Subsurface Exploration,” American Geophysical Union (AGU), San Francisco, CA, 2020.
  • Muhammad Fadhil Ginting, Thomas Touma, Jeffrey A. Edlund, and Ali-akbar Agha-mohammadi, “Deployable Mesh Network for Enabling Reliable Communication from within Subsurface Voids to the Planetary Surface,” American Geophysical Union (AGU), San Francisco, CA, 2020. [Video]
  • Kyohei Otsu, Scott Tepsuporn, Rohan Thakker, Tiago Vaquero, Jeffrey A. Edlund, William Walsh, Michael T. Wolf, Ali-akbar Agha-mohammadi, “Autonomous Exploration and Mapping of Communication-degraded Environment with a Robot Team,” IEEE Aerospace Conference, Big Sky Resort, USA, 2020.
  • Andrea Tagliabue, Stephanie Schneider, Marco Pavone, Ali-akbar Agha-mohammadi, “The Shapeshifter: a Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan," IEEE Aerospace Conference, Big Sky Resort, USA, 2020.[PDF]

  • Ali-akbar Agha-mohammadi, Karl L. Mitchell, Penelope J. Boston, “Robotic Exploration of Planetary Subsurface Voids in Search for Life”, 2019.
  • Sung-Kyun Kim, Rohan Thakker and Ali-akbar Agha-mohammadi, “Bi-directional Value Learning for Risk-aware Planning Under Uncertainty,” IEEE Robotics and Automation Letters (RA-L), vol.4, no.3, pp.2493-2500, March 2019. [PDF]
  • Thomas Lew, Tomoki Emmei, David Fan, Tara Bartlett, Angel Santamaria-Navarro, Rohan Thakker, Ali-akbar Agha-mohammadi, Contact Inertial Odometry: Collisions are your Friend. The International Symposium on Robotics Research (ISRR), Hanoi, Vietnam, 2019. [PDF]
  • Ali-akbar Agha-mohammadi, Andrea Tagliabue, Stephanie Schneider, Benjamin Morrell, Marco Pavone, Jason Hofgartner, Issa AD Nesnas et al. "The Shapeshifter: A Morphing, Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan." NASA NIAC Phase I Study Final Report (2019). [PDF]
  • David Fan, Rohan Thakker, Tara Bartlett, Meriem Ben Miled, Leon Kim, Evangelos Theodorou, Ali-akbar Agha-mohammadi, Autonomous hybrid ground/aerial mobility in unknown environments. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, 2019. [PDF]
  • Jared Strader, Kyohei Otsu, and Ali-akbar Agha-mohammadi, “Perception-aware Mast Motion Planning for Planetary Exploration Rovers,” Journal of Field Robotics, 2019. [PDF]
  • Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman and Gaurav S. Sukhatme, “Confidence-rich 3D Grid Mapping: Toward High-speed Vision-based UAV Navigation,” International Journal of Robotics Research (IJRR), vol.38, pp.1352-1374, 2019. [PDF]
  • Santamaria-Navarro, A., Thakker, R., Fan, D.D., Morrell, B., Agha-mohammadi, A.A. Autonomous Navigation of Drones. The International Symposium on Robotics Research (ISRR), Hanoi, Vietnam, 2019. [PDF]
  • Max Pflueger, Ali-akbar Agha-mohammadi and Gaurav S. Sukhatme, “Rover-IRL: Inverse Reinforcement Learning with Soft Value Iteration Networks for Planetary Rover Path Planning,” IEEE Robotics and Automation Letters (RA-L), vol.4, no.2, pp.1387-1394, 2019.[PDF]

  • Ali-akbar Agha-mohammadi, Saurav Agarwal, Sung-Kyun Kim, Suman Chakravorty and Nancy M. Amato, “SLAP: Simultaneous Localization and Planning for Physical Mobile Robots via Enabling Dynamic Replanning in Belief Space,” IEEE Transactions on Robotics (TRO), vol.34, no.5, pp.1195-1214, 2018. [PDF]
  • Kamak Ebadi, and Ali-Akbar Agha-Mohammadi. "Rover Localization in Mars Helicopter Aerial Maps: Experimental Results in a Mars-Analogue Environment." In International Symposium on Experimental Robotics, pp. 72-84. Springer, Buenos Aires, Argentina 2018. [PDF]
  • Ali-akbar Agha-mohammadi, Suman Chakravorty and Nancy Amato, “FIRM: Sampling-based Feedback Motion Planning Under Motion Uncertainty and Imperfect Measurements,” International Journal of Robotics Research (IJRR), vol.33, no.2, pp.268-304, 2014 [PDF]

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