| The strands project: Long-term autonomy in everyday environments N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ... IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017 | 136 | 2017 |
| Superdepth: Self-supervised, super-resolved monocular depth estimation S Pillai, R Ambruş, A Gaidon 2019 International Conference on Robotics and Automation (ICRA), 9250-9256, 2019 | 88 | 2019 |
| Autonomous learning of object models on a mobile robot T Fäulhammer, R Ambruş, C Burbridge, M Zillich, J Folkesson, N Hawes, ... IEEE Robotics and Automation Letters 2 (1), 26-33, 2016 | 59 | 2016 |
| 3d packing for self-supervised monocular depth estimation V Guizilini, R Ambrus, S Pillai, A Raventos, A Gaidon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 53 | 2020 |
| Meta-rooms: Building and maintaining long term spatial models in a dynamic world R Ambruş, N Bore, J Folkesson, P Jensfelt 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 52 | 2014 |
| Automatic room segmentation from unstructured 3-D data of indoor environments R Ambruş, S Claici, A Wendt IEEE Robotics and Automation Letters 2 (2), 749-756, 2017 | 41 | 2017 |
| Modeling motion patterns of dynamic objects by IOHMM Z Wang, R Ambrus, P Jensfelt, J Folkesson 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 35 | 2014 |
| Augmented autonomy: Improving human-robot team performance in urban search and rescue Y Nevatia, T Stoyanov, R Rathnam, M Pfingsthorn, S Markov, R Ambrus, ... 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 32 | 2008 |
| Where's waldo at time t? using spatio-temporal models for mobile robot search T Krajník, M Kulich, L Mudrová, R Ambrus, T Duckett 2015 IEEE International Conference on Robotics and Automation (ICRA), 2140-2146, 2015 | 28 | 2015 |
| Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario R Ambrus, J Ekekrantz, J Folkesson, P Jensfelt 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 23 | 2015 |
| Semantically-guided representation learning for self-supervised monocular depth V Guizilini, R Hou, J Li, R Ambrus, A Gaidon arXiv preprint arXiv:2002.12319, 2020 | 22 | 2020 |
| Efficient retrieval of arbitrary objects from long-term robot observations N Bore, R Ambrus, P Jensfelt, J Folkesson Robotics and Autonomous Systems 91, 139-150, 2017 | 13 | 2017 |
| Semantic labeling of indoor environments from 3D RGB maps M Brucker, M Durner, R Ambruş, ZC Márton, A Wendt, P Jensfelt, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 1871-1878, 2018 | 11 | 2018 |
| modules. sty: Semantic Macros and Module Scoping inSTEX M Kohlhase, D Ginev, R Ambrus | 9 | 2010 |
| Terrain classification for autonomous robot mobility: from safety, security rescue robotics to planetary exploration A Birk, T Stoyanov, Y Nevatia, R Ambrus, J Poppinga, K Pathak IEEE International Conference on Robotics and Automation (ICRA), Planetary …, 2008 | 9 | 2008 |
| Robust semi-supervised monocular depth estimation with reprojected distances V Guizilini, J Li, R Ambrus, S Pillai, A Gaidon Conference on Robot Learning, 503-512, 2020 | 5 | 2020 |
| Intelligent robotic perception systems C Premebida, R Ambrus, ZC Marton Applications of Mobile Robots, 2018 | 5 | 2018 |
| Autonomous meshing, texturing and recognition of object models with a mobile robot R Ambrus, N Bore, J Folkesson, P Jensfelt 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 5 | 2017 |
| Unsupervised object discovery and segmentation of RGBD-images J Ekekrantz, N Bore, R Ambrus, J Folkesson, P Jensfelt arXiv preprint arXiv:1710.06929, 2017 | 4 | 2017 |
| Unsupervised object segmentation through change detection in a long term autonomy scenario R Ambrus, J Folkesson, P Jensfelt 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016 | 4 | 2016 |
Patric JensfeltKTH Royal Institute of TechnologyVerified email at kth.se
