| 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 | 135 | 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 | 44 | 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 | 36 | 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 | 31 | 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 | 19 | 2019 |
| 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 | 17 | 2021 |
| 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 | 16 | 2020 |
| Robotic exploration for learning human motion patterns S Molina, G Cielniak, T Duckett IEEE Transactions on Robotics 38 (2), 1304-1318, 2021 | 13 | 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 | 10 | 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 | 8 | 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 | 7 | 2023 |
| Blt dataset: acquisition of the agricultural bacchus long-term dataset with automated robot deployment R Polvara, S Molina, I Hroob, A Papadimitriou, T Konstantinos, ... Journal of Field Robotics, Agricultural Robots for Ag 4, 2023 | 6 | 2023 |
| 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 | 2 | 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 |
| Adaptive robot localization in dynamic environments through self-learnt long-term 3D stable points segmentation I Hroob, S Molina, R Polvara, G Cielniak, M Hanheide Robotics and Autonomous Systems 181, 104786, 2024 | | 2024 |
| LTS-NET: End-to-End Unsupervised Learning of Long-Term 3D Stable Objects I Hroob, S Molina, R Polvara, G Cielniak, M Hanheide International Conference on Intelligent Autonomous Systems, 17-29, 2023 | | 2023 |
| Go with the Flow: Exploration and Mapping of Pedestrian Flow Patterns from Partial Observations G Cielniak, T Duckett, S Molina Mellado University of Lincoln, 2019 | | 2019 |
| Time-varying Pedestrian Flow Models for Service Robots A Lilienthal, C Swaminathan, F Majer, J Ulrich, M Stachova, ... University of Lincoln, 2019 | | 2019 |
| Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments T Krajník, G Cielniak, T Duckett, S Molina Mellado University of Lincoln, 2018 | | 2018 |
