| Weak in the NEES?: Auto-tuning Kalman filters with Bayesian optimization Z Chen, C Heckman, S Julier, N Ahmed 2018 21st International Conference on Information Fusion (FUSION), 1072-1079, 2018 | 82 | 2018 |
| Radar-inertial ego-velocity estimation for visually degraded environments A Kramer, C Stahoviak, A Santamaria-Navarro, AA Agha-Mohammadi, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 5739-5746, 2020 | 75 | 2020 |
| Present and future of slam in extreme underground environments K Ebadi, L Bernreiter, H Biggie, G Catt, Y Chang, A Chatterjee, ... arXiv preprint arXiv:2208.01787, 2022 | 51 | 2022 |
| Coloradar: The direct 3d millimeter wave radar dataset A Kramer, K Harlow, C Williams, C Heckman The International Journal of Robotics Research 41 (4), 351-360, 2022 | 48 | 2022 |
| Collective motion patterns of swarms with delay coupling: Theory and experiment K Szwaykowska, IB Schwartz, LMT Romero, CR Heckman, D Mox, ... Physical Review E 93 (3), 032307, 2016 | 43 | 2016 |
| Multi-agent autonomy: Advancements and challenges in subterranean exploration MT Ohradzansky, ER Rush, DG Riley, AB Mills, S Ahmad, S McGuire, ... arXiv preprint arXiv:2110.04390, 2021 | 40 | 2021 |
| Formalizing and guaranteeing human-robot interaction H Kress-Gazit, K Eder, G Hoffman, H Admoni, B Argall, R Ehlers, ... Communications of the ACM 64 (9), 78-84, 2021 | 39 | 2021 |
| A benchmark for visual-inertial odometry systems employing onboard illumination M Kasper, S McGuire, C Heckman 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 36 | 2019 |
| Game-theoretic cooperative lane changing using data-driven models G Ding, S Aghli, C Heckman, L Chen 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 26 | 2018 |
| Distributed reinforcement learning for cooperative multi-robot object manipulation G Ding, JJ Koh, K Merckaert, B Vanderborght, MM Nicotra, C Heckman, ... arXiv preprint arXiv:2003.09540, 2020 | 25 | 2020 |
| Learning to calibrate: Reinforcement learning for guided calibration of visual–inertial rigs F Nobre, C Heckman The International Journal of Robotics Research 38 (12-13), 1388-1402, 2019 | 25* | 2019 |
| Failure is not an option: Policy learning for adaptive recovery in space operations S McGuire, PM Furlong, C Heckman, S Julier, D Szafir, N Ahmed IEEE Robotics and Automation Letters 3 (3), 1639-1646, 2018 | 22 | 2018 |
| Drift-correcting self-calibration for visual-inertial SLAM F Nobre, M Kasper, C Heckman 2017 IEEE International Conference on Robotics and Automation (ICRA), 6525-6532, 2017 | 22 | 2017 |
| A real-time state dependent region estimator for autonomous endoscope navigation JM Prendergast, GA Formosa, MJ Fulton, CR Heckman, ME Rentschler IEEE Transactions on Robotics 37 (3), 918-934, 2020 | 21 | 2020 |
| Robust low-overlap 3-D point cloud registration for outlier rejection J Stechschulte, N Ahmed, C Heckman 2019 International Conference on Robotics and Automation (ICRA), 7143-7149, 2019 | 21* | 2019 |
| Online probabilistic change detection in feature-based maps F Nobre, C Heckman, P Ozog, RW Wolcott, JM Walls 2018 IEEE International Conference on Robotics and Automation (ICRA), 3661-3668, 2018 | 21 | 2018 |
| Dynamics of microbubble oscillators with delay coupling CR Heckman, RH Rand Nonlinear Dynamics 71 (1), 121-132, 2013 | 21* | 2013 |
| Scalable event-triggered data fusion for autonomous cooperative swarm localization I Loefgren, N Ahmed, E Frew, C Heckman, S Humbert 2019 22th International Conference on Information Fusion (FUSION), 1-8, 2019 | 19 | 2019 |
| Light source estimation with analytical path-tracing M Kasper, N Keivan, G Sibley, C Heckman arXiv preprint arXiv:1701.04101, 2017 | 19 | 2017 |
| Autonomous localization, navigation and haustral fold detection for robotic endoscopy JM Prendergast, GA Formosa, CR Heckman, ME Rentschler 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 18 | 2018 |
