3DOF pedestrian trajectory prediction learned from long-term autonomous mobile robot deployment data L Sun, Z Yan, S Molina, M Hanheide, T Duckett 2018 IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2018 | 118 | 2018 |
Modelling and predicting rhythmic flow patterns in dynamic environments S Molina, G Cielniak, T Krajník, T Duckett Towards Autonomous Robotic Systems: 19th Annual Conference, TAROS 2018 …, 2018 | 35 | 2018 |
Warped hypertime representations for long-term autonomy of mobile robots T Krajník, T Vintr, S Molina, JP Fentanes, G Cielniak, OM Mozos, ... IEEE Robotics and Automation Letters 4 (4), 3310-3317, 2019 | 32 | 2019 |
Time-varying pedestrian flow models for service robots T Vintr, S Molina, R Senanayake, G Broughton, Z Yan, J Ulrich, TP Kucner, ... 2019 European Conference on Mobile Robots (ECMR), 1-7, 2019 | 28 | 2019 |
Go with the flow: Exploration and mapping of pedestrian flow patterns from partial observations S Molina, G Cielniak, T Duckett 2019 International Conference on Robotics and Automation (ICRA), 9725-9731, 2019 | 15 | 2019 |
Natural criteria for comparison of pedestrian flow forecasting models T Vintr, Z Yan, K Eyisoy, F Kubiš, J Blaha, J Ulrich, CS Swaminathan, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 11 | 2020 |
Benchmark of visual and 3D lidar SLAM systems in simulation environment for vineyards I Hroob, R Polvara, S Molina, G Cielniak, M Hanheide Towards Autonomous Robotic Systems: 22nd Annual Conference, TAROS 2021 …, 2021 | 10 | 2021 |
Robotic exploration for learning human motion patterns S Molina, G Cielniak, T Duckett IEEE Transactions on Robotics 38 (2), 1304-1318, 2021 | 9 | 2021 |
Spatiotemporal models for motion planning in human populated environments T Vintr, S Molina, G Cielniak, T Duckett, T Krajnik Czech Technical University in Prague, Faculty of Electrical Engineering, 2017 | 8 | 2017 |
Benchmarking the utility of maps of dynamics for human-aware motion planning CS Swaminathan, TP Kucner, M Magnusson, L Palmieri, S Molina, ... Frontiers in Robotics and AI 9, 916153, 2022 | 5 | 2022 |
Bacchus Long‐Term (BLT) data set: Acquisition of the agricultural multimodal BLT data set with automated robot deployment R Polvara, S Molina, I Hroob, A Papadimitriou, K Tsiolis, D Giakoumis, ... Journal of Field Robotics, 2023 | 4 | 2023 |
The ILIAD safety stack: human-aware infrastructure-free navigation of industrial mobile robots S Molina, A Mannucci, M Magnusson, D Adolfsson, H Andreasson, ... IEEE Robotics & Automation Magazine, 2023 | 2 | 2023 |
Spatio-temporal Representation of Time-varying Pedestrian Flows T Vintr, S Molina, R Senanayake, G Broughton, Z Yan, J Ulrich, TP Kucner, ... European Conference in Mobile Robotics, 2019 | 2 | 2019 |
Learned Long-Term Stability Scan Filtering for Robust Robot Localisation in Continuously Changing Environments I Hroob, S Molina, R Polvara, G Cielniak, M Hanheide 2023 European Conference on Mobile Robots (ECMR), 1-8, 2023 | 1 | 2023 |
LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects I Hroob, S Molina, R Polvara, G Cielniak, M Hanheide arXiv preprint arXiv:2301.03426, 2023 | | 2023 |
Modelling and predicting rhythmic flow patterns in dynamic environments S Molina Mellado, G Cielniak, T Krajnik, T Duckett UK-RAS 2017, 2017 | | 2017 |
A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards.............. 7 Riccardo Bertoglio, Veronica Carini, Stefano Arrigoni and Matteo Matteucci Surgical fine … A Villemazet, A Durand-Petiteville, V Cadenat, I Hroob, S Molina, ... | | |