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Publications

[1] S. McGuire, P. M. Furlong, C. Heckman, S. Julier, D. Szafir, and N. Ahmed. Failure is Not an Option: Policy Learning for Adaptive Recovery in Space Operations IEEE Robotics and Automation Letters, 3(3):1639–1646, July 2018. [ bib | DOI ]
[2] Sina Aghli and Christoffer Heckman. Online system identification and calibration of dynamic models for autonomous ground vehicles. In Robotics and Automation (ICRA), 2018 IEEE International Conference on. IEEE, 2018. [ bib ]
[3] Fernando Nobre, Christoffer Heckman, Paul Ozog, Ryan Wolcott, and Jeffrey Walls. Online probabilistic change detection in feature-based maps. In Robotics and Automation (ICRA), 2018 IEEE International Conference on. IEEE, 2018. [ bib ]
[4] Fernando Nobre and Christoffer Heckman. Reinforcement learning for assisted visual-inertial robotic calibration. In International Symposium on Robotics Research. IFRR, 2017. [ bib ]
[5] Nikolaus Correll and Christoffer Heckman. Materials that make robots smart. In International Symposium on Robotics Research. IFRR, 2017. [ bib ]
[6] Sina Aghli and Christoffer Heckman. Terrain aware model predictive controller for autonomous ground vehicles. In Robotics: Science and Systems (RSS) Workshop on Bridging the Gap in Space Robotics. IFRR, 2017. [ bib  | pdf ]
[7] Steve McGuire, P. Michael Furlong, and Nisar Ahmed. On the development of an online assistant selection dataset for planetary exploration systems. In RSS 2017 Workshop: Bridging the Gap in Space Robotics, 2017. [ bib ]
[8] Fernando Nobre, Michael Kasper, and Christoffer Heckman. Drift-correcting self-calibration for visual-inertial slam. In Robotics and Automation (ICRA), 2017 IEEE International Conference on. IEEE, 2017. [ bib |DOI ]
[9] Christoffer Heckman. Using modeled dynamics for the control of autonomous vehicles. In Applications of Dynamics Systems, 2017 SIAM Conference on. SIAM, 2017. [ bib ]
[10] Michael Kasper, Nima Keivan, Gabe Sibley, and Christoffer Heckman. Light source estimation in synthetic images. In European Conference on Computer Vision Workshop on Virtual/Agumented Reality for Visual Artificial Intelligence, 2016. [ bib  | link ]
[11] Fernando Nobre, Christoffer Heckman, and Gabe Sibley. Multi-sensor slam with online self-calibration and change detection. In International Symposium on Experimental Robotics (ISER). , 2016. [ bib | DOI ]

[12] Christoffer Heckman, Nima Keivan, and Gabe Sibley. Simulation-in-the-loop for planning and model-predictive control. In Robotics Science and Systems (RSS) Workshop on Realistic, Repeatable and Robust Simulation, 2015. [ bib  | pdf ]


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