| Communication-efficient planning and mapping for multi-robot exploration in large environments M Corah, C O’Meadhra, K Goel, N Michael IEEE Robotics and Automation Letters 4 (2), 1715-1721, 2019 | 87 | 2019 |
| Variable resolution occupancy mapping using gaussian mixture models C O’Meadhra, W Tabib, N Michael IEEE Robotics and Automation Letters 4 (2), 2015-2022, 2018 | 57 | 2018 |
| On-manifold gmm registration W Tabib, C O’Meadhra, N Michael IEEE Robotics and Automation Letters 3 (4), 3805-3812, 2018 | 32 | 2018 |
| Leveraging experience for robust, adaptive nonlinear MPC on computationally constrained systems with time-varying state uncertainty VR Desaraju, AE Spitzer, C O’Meadhra, L Lieu, N Michael The International Journal of Robotics Research 37 (13-14), 1690-1712, 2018 | 17 | 2018 |
| Generative point cloud modeling with gaussian mixture models for multi-robot exploration C OMeadhra Ph. D. Thesis, Carnegie Mellon University, Pittsburgh, PA, USA, 2018 | 2 | 2018 |
Nathan MichaelCarnegie Mellon UniversityEmail verificata su cmu.edu
