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Thomas Wiedemann
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Decentralized multi-agent exploration with online-learning of gaussian processes
A Viseras, T Wiedemann, C Manss, L Magel, J Mueller, D Shutin, ...
2016 IEEE international conference on robotics and automation (ICRA), 4222-4229, 2016
872016
Self-aware swarm navigation in autonomous exploration missions
S Zhang, R Pöhlmann, T Wiedemann, A Dammann, H Wymeersch, ...
Proceedings of the IEEE 108 (7), 1168-1195, 2020
612020
Model-based gas source localization strategy for a cooperative multi-robot system—A probabilistic approach and experimental validation incorporating physical knowledge and …
T Wiedemann, D Shutin, AJ Lilienthal
Robotics and Autonomous Systems 118, 66-79, 2019
462019
Interactive path planning for teleoperated road vehicles in urban environments
A Hosseini, T Wiedemann, M Lienkamp
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
312014
Robotic information gathering with reinforcement learning assisted by domain knowledge: An application to gas source localization
T Wiedemann, C Vlaicu, J Josifovski, A Viseras
IEEE Access 9, 13159-13172, 2021
292021
Multi-agent exploration of spatial dynamical processes under sparsity constraints
T Wiedemann, C Manss, D Shutin
Autonomous Agents and Multi-Agent Systems 32, 134-162, 2018
292018
Beehive-inspired information gathering with a swarm of autonomous drones
A Viseras, T Wiedemann, C Manss, V Karolj, D Shutin, J Marchal
Sensors 19 (19), 4349, 2019
212019
Analysis of model mismatch effects for a model-based gas source localization strategy incorporating advection knowledge
T Wiedemann, AJ Lilienthal, D Shutin
Sensors 19 (3), 520, 2019
192019
Probabilistic modeling of gas diffusion with partial differential equations for multi-robot exploration and gas source localization
T Wiedemann, C Manss, D Shutin, AJ Lilienthal, V Karolj, A Viseras
2017 European Conference on Mobile Robots (ECMR), 1-7, 2017
192017
Analysis of non-stationary 3D air-to-air channels using the theory of algebraic curves
M Walter, D Shutin, DW Matolak, N Schneckenburger, T Wiedemann, ...
IEEE Transactions on Wireless Communications 18 (8), 3767-3780, 2019
142019
Bayesian gas source localization and exploration with a multi-robot system using partial differential equation based modeling
T Wiedemann, D Shutin, V Hernandez, E Schaffernicht, AJ Lilienthal
2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose …, 2017
112017
Multi-domain airflow modeling and ventilation characterization using mobile robots, stationary sensors and machine learning
V Hernandez Bennetts, K Kamarudin, T Wiedemann, TP Kucner, ...
Sensors 19 (5), 1119, 2019
102019
Exploration and gas source localization in advection–diffusion processes with potential-field-controlled robotic swarms
P Hinsen, T Wiedemann, D Shutin, AJ Lilienthal
Sensors 23 (22), 9232, 2023
82023
Efficient 3d voxel reconstruction of human shape within robotic work cells
D Stengel, T Wiedemann, B Vogel-Heuser
2012 IEEE International Conference on Mechatronics and Automation, 1386-1392, 2012
82012
Gas source localization based on binary sensing with a UAV
T Wiedemann, M Schaab, JM Gomez, D Shutin, M Scheibe, AJ Lilienthal
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 1-3, 2022
72022
Experimental validation of domain knowledge assisted robotic exploration and source localization
T Wiedemann, D Shutin, AJ Lilienthal
2021 IEEE International Conference on Autonomous Systems (ICAS), 1-5, 2021
72021
Challenges and solutions for MV and LV protection in grids with large amount of distributed generation–a final report from the German research project ProFuDis
F Glinka, T Wippenbeck, T Schmidt, T Wiedemann, C Bennauer
CIRED 24 2017 (1), 976-980, 2017
72017
Decentralized multi-agent entropy-driven exploration under sparsity constraints
C Manss, D Shutin, T Wiedemann, A Viseras, J Mueller
2016 4th International Workshop on Compressed Sensing Theory and its …, 2016
62016
Domain knowledge assisted robotic exploration and source localization
T Wiedemann
Örebro University, 2020
52020
Cooperative pose estimation in a robotic swarm: Framework, simulation and experimental results
S Zhang, K Cokona, R Pöhlmann, E Staudinger, T Wiedemann, ...
2022 30th European Signal Processing Conference (EUSIPCO), 987-991, 2022
42022
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