| Planning for robotic exploration based on forward simulation M Lauri, R Ritala Robotics and Autonomous Systems 83, 15-31, 2016 | 123 | 2016 |
| Partially observable markov decision processes in robotics: A survey M Lauri, D Hsu, J Pajarinen IEEE Transactions on Robotics 39 (1), 21-40, 2022 | 119 | 2022 |
| 6D Object Pose Regression via Supervised Learning on Point Clouds G Gao, M Lauri, Y Wang, X Hu, J Zhang, S Frintrop 2020 IEEE International Conference on Robotics and Automation (ICRA), 3643-3649, 2020 | 101 | 2020 |
| Cloudaae: Learning 6d object pose regression with on-line data synthesis on point clouds G Gao, M Lauri, X Hu, J Zhang, S Frintrop 2021 IEEE International Conference on Robotics and Automation (ICRA), 11081 …, 2021 | 53 | 2021 |
| Multi-sensor next-best-view planning as matroid-constrained submodular maximization M Lauri, J Pajarinen, J Peters, S Frintrop IEEE Robotics and Automation Letters 5 (4), 5323-5330, 2020 | 42 | 2020 |
| Wireless measurement of RFID IC impedance T Bjorninen, M Lauri, L Ukkonen, R Ritala, AZ Elsherbeni, L Sydanheimo IEEE Transactions on Instrumentation and Measurement 60 (9), 3194-3206, 2011 | 42 | 2011 |
| Multi-robot active information gathering with periodic communication M Lauri, E Heinänen, S Frintrop 2017 IEEE International Conference on Robotics and Automation (ICRA), 851-856, 2017 | 36 | 2017 |
| Occlusion resistant object rotation regression from point cloud segments G Gao, M Lauri, J Zhang, S Frintrop Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 30 | 2018 |
| Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement M Lauri, J Pajarinen, J Peters Autonomous Agents and Multi-Agent Systems 34 (2), 42, 2020 | 24 | 2020 |
| Information gathering in decentralized POMDPs by policy graph improvement M Lauri, J Pajarinen, J Peters 18th International Conference on Autonomous Agents and Multiagent Systems …, 2019 | 20 | 2019 |
| Stochastic control for maximizing mutual information in active sensing M Lauri, R Ritala | 20 | 2014 |
| Explore, approach, and terminate: Evaluating subtasks in active visual object search based on deep reinforcement learning JF Schmid, M Lauri, S Frintrop 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 17 | 2019 |
| Active object recognition via Monte Carlo tree search M Lauri, N Atanasov, G Pappas, R Ritala ICRA 2015 Workshop: Beyond Geometric Constraints: Planning for Solving …, 2015 | 17 | 2015 |
| Multi-agent active perception with prediction rewards M Lauri, F Oliehoek Advances in Neural Information Processing Systems 33, 13651-13661, 2020 | 15 | 2020 |
| Saliency-guided adaptive seeding for supervoxel segmentation G Gao, M Lauri, J Zhang, S Frintrop 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 14 | 2017 |
| Multi-label object attribute classification using a convolutional neural network S Banik, M Lauri, S Frintrop arXiv preprint arXiv:1811.04309, 2018 | 11 | 2018 |
| A mapping method tolerant to calibration and localization errors based on tilting 2D laser scanner A Kolu, M Lauri, M Hyvönen, R Ghabcheloo, K Huhtala 2015 European Control Conference (ECC), 2348-2353, 2015 | 10 | 2015 |
| Cooperative sensing and path planning in a multi-vehicle environment J Melin, M Lauri, A Kolu, J Koljonen, R Ritala IFAC-PapersOnLine 48 (9), 198-203, 2015 | 10 | 2015 |
| Multi-phase fine-tuning: a new fine-tuning approach for sign language recognition N Sarhan, M Lauri, S Frintrop KI-Künstliche Intelligenz 36 (1), 91-98, 2022 | 9 | 2022 |
| Optimal sensing via multi-armed bandit relaxations in mixed observability domains M Lauri, R Ritala 2015 IEEE International Conference on Robotics and Automation (ICRA), 4807-4812, 2015 | 9 | 2015 |
Simone FrintropComputer Vision Group, Department of Informatics, University of Hamburg, GermanyVerified email at uni-hamburg.de