ARGOS
Intelligent Autonomous navigation of agents via Reinforcement learning synerGic with Optimization method
Summary
ARGOS project aims to study the main methods for designing intelligent autonomous navigation of agents via reinforcement learning synergic with optimization methods.
People
Leonardo – Head of A²I Lab
I am a Principal Lecture in Technology & Head of A²ILab. I have a very broad range of research interests comprehending, but not limited to, areas such as autonomous intelligent machines, mining of big datasets, clustering of time series, causality, quantum machine learning, extreme learning machines, creative machines, philosophy of artificial intelligence, computer vision, deep reinforcement learning among many others.
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Truong An – Researcher
A Human-Robot Interaction and Human-Computer Interaction researcher.
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Amin – Former posdoctoral researcher
Former postdoctoral researcher (2020-2022), now Senior advisor at Turku University of Applied Sciences.
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Publications 2021
The year 2021 was a great year for the A²ILab. We have published a total of 9 papers, including 2 journal papers, 6 conference papers and…
Read more about Publications 2021Publications
Indoor Scene Recognition via Object Detection and TF-IDF. Available at: https://doi.org/10.3390/jimaging8080209
Social and Service Robots Deployed for Social Distancing - Optimization and Placement. Available at: https://ieeexplore.ieee.org/document/9591050
