Sergi Molina
TitleCited byYear
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
282018
Modelling and predicting rhythmic flow patterns in dynamic environments
S Molina, G Cielniak, T Krajník, T Duckett
Annual Conference Towards Autonomous Robotic Systems, 135-146, 2018
102018
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
42019
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
32019
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
22017
Warped Hypertime Representations for Long-term Autonomy of Mobile Robots
T Krajnik, T Vintr, S Molina, JP Fentanes, G Cielniak, T Duckett
arXiv preprint arXiv:1810.04285, 2018
12018
Time-varying pedestrian flow models for service robots
T Vintr, S Molina Mellado, R Senanayake, G Broughton, Z Yan, J Ulrich, ...
ILIAD, 2019
2019
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
2019
Modelling and predicting rhythmic flow patterns in dynamic environments
S Molina Mellado, G Cielniak, T Krajnik, T Duckett
UK-RAS 2017, 2017
2017
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Articles 1–9