Luca Castri
AI & Robotics Researcher
Lincoln Centre for Autonomous Systems (L-CAS)
University of Lincoln (UK)
Research Interests
Causality · Robot Learning · Decision Making · Causal Robotics · HRI
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Defended my PhD Thesis 🎓. [Presentation] [PDF]. -
- Talk at the Oxford Robotics Institute. [Presentation] [PDF].
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Delivered a lecture on Causal Discovery for Time-Series Data as part of the Artificial Intelligence course in the Computer Science program at the University of Padua. [Presentation] [PDF] -
CausalFlow - a new Python framework featuring various causal discovery methods for time-series data. It includes our F-PCMCI and CAnDOIT algorithms. -
CAnDOIT - a new Python library for causal discovery from observational and interventional time-series data. Check out our paper published in Advanced Intelligent Systems. -
ROS-Causal - a ROS-based causal analysis framework for Human-Robot Interaction applications. Take a look at our paper presented at RO-MAN2024. - Lecture on Causal Discovery for Time-Series Data in the Artificial Intelligence course of the Computer Science program at the University of Padua. [Presentation] [PDF]
- Talk at the University of Padua. [Presentation] [PDF].
- I had the opportunity to give a lecture on Causal Discovery in the Artificial Intelligence course of the Computer Science program at the University of Padua.
[Presentation] [PDF]. -
F-PCMCI - a new Python library for fast and accurate causal discovery. Paper published at CLeaR2023 and available here. -
I attended the Advanced Course on AI (ACAI2021) in Berlin.