Sergi Molina Mellado — accepted AI-conference papers

2019

Warped Hypertime Representations for Long-Term Autonomy of Mobile Robots

Tomás Krajník, Tomás Vintr, Sergi Molina Mellado, Jaime Pulido Fentanes, Grzegorz Cielniak, Óscar Martínez Mozos +2

RA-L 2019

This letter presents a novel method for introducing time into discrete and continuous spatial representations used in mobile robotics, by modeling long-term, pseudo-periodic variations caused by human activities or natural processes. Unlike previous approaches, the proposed method does not treat tim

Cited by 29 Source ↗Scholar ↗

2018

3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data

Li Sun, Zhi Yan, Sergi Molina Mellado, Marc Hanheide, Tom Duckett

ICRA 2018poster

This paper presents a novel 3DOF pedestrian trajectory prediction approach for autonomous mobile service robots. While most previously reported methods are based on learning of 2D positions in monocular camera images, our approach uses range-finder sensors to learn and predict 3DOF pose trajectories…

Cited by 142 Source ↗Scholar ↗