Italian Institute of Technology

Examining the legibility of humanoid robot arm movements in a pointing task
How do humans understand what a robot is about to do? Paper of common UKBA and IIT team explores how gaze and pointing cues help people …
Cite Code Dataset DOI GitHub
Generating and Customizing Robotic Arm Trajectories using Neural Networks
Common work of UKBA and IIT introduces a novel neural network-based method to create precise, smooth, and customizable robotic arm …
Cite Code Dataset DOI GitHub
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation
Large Language Models (LLMs) have been recently used in robot applications for grounding LLM commonsense reasoning with the robot’s …
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Sketch it for the Robot! How Child-Like Robots' Joint Attention Affects Humans' Drawing Strategies
The work proposes investigating drawing activities in interactive contexts to shed light on the links between socio-cognitive and …
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To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Communicating shapes our social word. For a robot to be considered social and being consequently integrated in our social environment …
Cite DOI ICJNN 2023
Snapture—a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
As robots are expected to get more involved in people’s everyday lives, frameworks that enable intuitive user interfaces are in demand. …
PDF DOI Cognitive Computation
Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot
Addressee Estimation is the ability to understand to whom a person is talking, a skill essential for social robots to interact smoothly …
PDF Cite DOI arXiv