Sergi Molina Mellado

Orcid: 0000-0003-1625-1739

According to our database1, Sergi Molina Mellado authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots.
IEEE Robotics Autom. Mag., September, 2024

2023
Learned Long-Term Stability Scan Filtering for Robust Robot Localisation in Continuously Changing Environments.
Proceedings of the European Conference on Mobile Robots, 2023

2022
Robotic Exploration for Learning Human Motion Patterns.
IEEE Trans. Robotics, 2022

Benchmarking the utility of maps of dynamics for human-aware motion planning.
Frontiers Robotics AI, 2022

Collection and Evaluation of a Long-Term 4D Agri-Robotic Dataset.
CoRR, 2022

2021
Exploration and mapping of spatio-temporal pedestrian flow patterns for mobile robots.
PhD thesis, 2021

Benchmark of Visual and 3D Lidar SLAM Systems in Simulation Environment for Vineyards.
Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021

2020
Natural Criteria for Comparison of Pedestrian Flow Forecasting Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Warped Hypertime Representations for Long-Term Autonomy of Mobile Robots.
IEEE Robotics Autom. Lett., 2019

Go with the Flow: Exploration and Mapping of Pedestrian Flow Patterns from Partial Observations.
Proceedings of the International Conference on Robotics and Automation, 2019

Time-varying Pedestrian Flow Models for Service Robots.
Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018
Warped Hypertime Representations for Long-term Autonomy of Mobile Robots.
CoRR, 2018

Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments.
Proceedings of the Towards Autonomous Robotic Systems - 19th Annual Conference, 2018

3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


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