6 papers
Joint Prediction of Human Motions and Actions in Human-Robot Collaboration
Alessandra Bulanti, Alessandro Carfì, Fulvio Mastrogiovanni
Fluent human--robot collaboration requires robots to continuously estimate human behaviour and anticipate future intentions. This entails reasoning jointly about \emph{continuous m…
A Distributed Multi-Modal Sensing Approach for Human Activity Recognition in Real-Time Human-Robot Collaboration
Valerio Belcamino, Nhat Minh Dinh Le, Quan Khanh Luu +3
Human activity recognition (HAR) is fundamental in human-robot collaboration (HRC), enabling robots to respond to and dynamically adapt to human intentions. This paper introduces a…
Factored Reasoning with Inner Speech and Persistent Memory for Evidence-Grounded Human-Robot Interaction
Valerio Belcamino, Mariya Kilina, Alessandro Carfì +3
Dialogue-based human-robot interaction requires robot cognitive assistants to maintain persistent user context, recover from underspecified requests, and ground responses in extern…
IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients
Simone Macciò, Alessandro Carfì, Alessio Capitanelli +4
Background/Objectives: Falls represent a major health concern for stroke survivors, necessitating effective risk assessment tools. This study proposes the Instrumented Fall Risk As…
A Social Robot with Inner Speech for Dietary Guidance
Valerio Belcamino, Alessandro Carfì, Valeria Seidita +2
We explore the use of inner speech as a mechanism to enhance transparency and trust in social robots for dietary advice. In humans, inner speech structures thought processes and de…
A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches
Valerio Belcamino, Nhat Minh Dinh Le, Quan Khanh Luu +3
Human activity recognition (HAR) is essential for effective Human-Robot Collaboration (HRC), enabling robots to interpret and respond to human actions. This study evaluates the abi…