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Mikko Lauri
Mikko Lauri
Silo AI
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Titel
Zitiert von
Zitiert von
Jahr
Planning for robotic exploration based on forward simulation
M Lauri, R Ritala
Robotics and Autonomous Systems 83, 15-31, 2016
1202016
Partially observable markov decision processes in robotics: A survey
M Lauri, D Hsu, J Pajarinen
IEEE Transactions on Robotics 39 (1), 21-40, 2022
1122022
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
942020
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
502021
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
422011
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
402020
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
342017
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
302018
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
232020
Stochastic control for maximizing mutual information in active sensing
M Lauri, R Ritala
202014
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
192019
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
172015
Multi-agent active perception with prediction rewards
M Lauri, F Oliehoek
Advances in Neural Information Processing Systems 33, 13651-13661, 2020
152020
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
152019
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
152017
Multi-label object attribute classification using a convolutional neural network
S Banik, M Lauri, S Frintrop
arXiv preprint arXiv:1811.04309, 2018
112018
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
102015
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
102015
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
92022
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
92015
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