17 citations · 40 across the 10 of their papers we have counts for
10 papers
Grounding Hierarchical Vision-Language-Action Models Through Explicit Language-Action Alignment
Theodor Wulff, Federico Tavella, Rahul Singh Maharjan +2
Achieving robot transparency is a critical step toward effective human-robot collaboration. To be transparent, a robot's natural language communication must be consistent with its…
Hierarchical, Interpretable, Label-Free Concept Bottleneck Model
Haodong Xie, Yujun Cai, Rahul Singh Maharjan +3
Concept Bottleneck Models (CBMs) introduce interpretability to black-box deep learning models by predicting labels through human-understandable concepts. However, unlike humans, wh…
Fake or Real, Can Robots Tell? Evaluating VLM Robustness to Domain Shift in Single-View Robotic Scene Understanding
Federico Tavella, Amber Drinkwater, Angelo Cangelosi
Robotic scene understanding increasingly relies on Vision-Language Models (VLMs) to generate natural language descriptions of the environment. In this work, we systematically evalu…
From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning
Haodong Xie, Rahul Singh Maharjan, Federico Tavella +1
Understanding and manipulating concrete and abstract concepts is fundamental to human intelligence. Yet, they remain challenging for artificial agents. This paper introduces a mult…
Bridging the Communication Gap: Artificial Agents Learning Sign Language through Imitation
Federico Tavella, Aphrodite Galata, Angelo Cangelosi
Artificial agents, particularly humanoid robots, interact with their environment, objects, and people using cameras, actuators, and physical presence. Their communication methods a…
Signs of Language: Embodied Sign Language Fingerspelling Acquisition from Demonstrations for Human-Robot Interaction
Federico Tavella, Aphrodite Galata, Angelo Cangelosi
Learning fine-grained movements is a challenging topic in robotics, particularly in the context of robotic hands. One specific instance of this challenge is the acquisition of fing…
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language
Federico Tavella, Viktor Schlegel, Marta Romeo +2
Signed Language Processing (SLP) concerns the automated processing of signed languages, the main means of communication of Deaf and hearing impaired individuals. SLP features many…
Phonology Recognition in American Sign Language
Federico Tavella, Aphrodite Galata, Angelo Cangelosi
Inspired by recent developments in natural language processing, we propose a novel approach to sign language processing based on phonological properties validated by American Sign…
A Machine Learning-based Approach to Detect Threats in Bio-Cyber DNA Storage Systems
Federico Tavella, Alberto Giaretta, Mauro Conti +1
Data storage is one of the main computing issues of this century. Not only storage devices are converging to strict physical limits, but also the amount of data generated by users…
DNA Molecular Storage System: Transferring Digitally Encoded Information through Bacterial Nanonetworks
Federico Tavella, Alberto Giaretta, Triona Marie Dooley-Cullinane +3
Since the birth of computer and networks, fuelled by pervasive computing and ubiquitous connectivity, the amount of data stored and transmitted has exponentially grown through the…