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  • Alice’s Group Publications

Alice Plebe

Assistant Professor RTDa

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I’m an assistant professor (RTDa) at the University of Trento, where I study how insights from nature can inspire the design of neural networks. My current research explores models informed and constrained by physical principles. Earlier in my career, I looked to human cognition for inspiration, developing autonomous driving agents and perception systems that used brain-like mechanisms and mental imagery to anticipate unforeseen scenarios.

From 2024 to 2025, I was a research fellow in the Department of Computer Science at University College London, where I studied how large language models can reason like and collaborate with humans. My work there focused on LLMs in multi-agent systems and the role of trust in shaping effective collaboration between agents. I also examined how vision–language models mirror human biases, particularly in the spread of misinformation.

In 2020, I was a visiting researcher at the Cognitive Robotics Lab at TU Delft, where I investigated how cognitive architectures can inform the design of neural networks for perception systems in autonomous vehicles.

Beyond research, I explore the creative side of technology through 3D computer graphics, video game development, and architectural design. These pursuits often inspire fresh perspectives on my technical work.

My pronouns are she/her.

Visit my website for more information about my research, publications, and projects.

Education

PhD in Computer Science | University of Trento | 2020
MS in Computer Science | University of Catania | 2016
BS in Computer Science | University of Catania | 2014


Alice’s Group Publications

Model-Structured Neural Networks for Road Condition Identification in AI-Enabled Digital Twin Architecture

Model-Structured Neural Networks for Road Condition Identification in AI-Enabled Digital Twin Architecture
Mojtaba Sharifzadeh, Filippo Faccini, Giovanni Maria Francesco La Scala, Alice Plebe, Mattia Piccinini, Gastone Pietro Rosati Papini
ICRA 2026 — Workshop on AI-Driven Automation and Robotic System Integration with Digital Twins (2026)
PDF

nnodely: A Framework for Structured Neural Networks in Robotics

nnodely: A Framework for Structured Neural Networks in Robotics
Gastone Pietro Rosati Papini, Alice Plebe, Mojtaba Sharifzadeh, Sebastiano Taddei, Mattia Piazza, Giovanni Scialla, Francesco Baroni, Giovanni Maria Francesco La Scala, Davide De Martini, Gioele Defrancesco, Filippo Faccini
ICRA 2026 — RoSE'26, 8th International Workshop on Robotics Software Engineering (2026)
PDF

nnodely – neuralize your model

nnodely – neuralize your model
Gastone Pietro Rosati Papini, Alice Plebe, Mojtaba Sharifzadeh, Mattia Piazza, Sebastiano Taddei, Giovanni Scialla, Francesco Baroni, Davide De Martini, Giovanni Maria Francesco La Scala, Gioele Defrancesco, Filippo Faccini
ICRA 2026 — Late breaking results (2026)
PDF

Complex self-driving behaviors emerging from affordance competition in layered control architectures

Complex self-driving behaviors emerging from affordance competition in layered control architectures
Mauro Da Lio, Antonello Cherubini, Gastone Pietro Rosati Papini, Alice Plebe
Cognitive Systems Research (2022)
DOI | PDF

A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving

A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving
Gastone Pietro Rosati Papini, Alice Plebe, Mauro Da Lio, Riccardo Donà
IEEE Transactions on Intelligent Transportation Systems (2021)
DOI | PDF
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