75 citations · 222 across the 28 of their papers we have counts for
30 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…
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…
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…
Investigating Mixed Reality for Communication Between Humans and Mobile Manipulators
Mohamad Shaaban, Simone Macci`o, Alessandro Carf`ı +1
This article investigates mixed reality (MR) to enhance human-robot collaboration (HRC). The proposed solution adopts MR as a communication layer to convey a mobile manipulator's i…
Kinesthetic Teaching in Robotics: a Mixed Reality Approach
Simone Macci`o, Mohamad Shaaban, Alessandro Carf`ı +1
As collaborative robots become more common in manufacturing scenarios and adopted in hybrid human-robot teams, we should develop new interaction and communication strategies to ens…
The Effects of Selected Object Features on a Pick-and-Place Task: a Human Multimodal Dataset
Linda Lastrico, Valerio Belcamino, Alessandro Carfì +4
We propose a dataset to study the influence of object-specific characteristics on human pick-and-place movements and compare the quality of the motion kinematics extracted by vario…
Robotic in-hand manipulation with relaxed optimization
Ali Hammoud, Valerio Belcamino, Quentin Huet +4
Dexterous in-hand manipulation is a unique and valuable human skill requiring sophisticated sensorimotor interaction with the environment while respecting stability constraints. Sa…
A Modular Framework for Flexible Planning in Human-Robot Collaboration
Valerio Belcamino, Mariya Kilina, Linda Lastrico +2
This paper presents a comprehensive framework to enhance Human-Robot Collaboration (HRC) in real-world scenarios. It introduces a formalism to model articulated tasks, requiring co…
A Systematic Review on Custom Data Gloves
Valerio Belcamino, Alessandro Carfì, Fulvio Mastrogiovanni
Hands are a fundamental tool humans use to interact with the environment and objects. Through hand motions, we can obtain information about the shape and materials of the surfaces…
Gaze-Based Intention Recognition for Human-Robot Collaboration
Valerio Belcamino, Miwa Takase, Mariya Kilina +4
This work aims to tackle the intent recognition problem in Human-Robot Collaborative assembly scenarios. Precisely, we consider an interactive assembly of a wooden stool where the…
A modular architecture for IMU-based data gloves
Alessandro Carfì, Mohamad Alameh, Valerio Belcamino +1
The flexibility and range of motion in human hands play a crucial role in human interaction with the environment and have been studied across different fields. Researchers explored…
A novel method to compute the contact surface area between an organ and cancer tissue
Alessandra Bulanti, Alessandro Carfì, Paolo Traverso +2
With "contact surface area" (CSA) we refers to the area of contact between a tumor and an organ. This indicator has been identified as a predictive factor for surgical peri-operati…
Digital Twins for Human-Robot Collaboration: A Future Perspective
Mohamad Shaaban, Alessandro Carfì, Fulvio Mastrogiovanni
As collaborative robot (Cobot) adoption in many sectors grows, so does the interest in integrating digital twins in human-robot collaboration (HRC). Virtual representations of phys…
Expressing and Inferring Action Carefulness in Human-to-Robot Handovers
Linda Lastrico, Nuno Ferreira Duarte, Alessandro Carfì +4
Implicit communication plays such a crucial role during social exchanges that it must be considered for a good experience in human-robot interaction. This work addresses implicit c…
RICO-MR: An Open-Source Architecture for Robot Intent Communication through Mixed Reality
Simone Macciò, Mohamad Shaaban, Alessandro Carfì +2
This article presents an open-source architecture for conveying robots' intentions to human teammates using Mixed Reality and Head-Mounted Displays. The architecture has been devel…
In-hand manipulation planning using human motion dictionary
Ali Hammoud, Valerio Belcamino, Alessandro Carfi +2
Dexterous in-hand manipulation is a peculiar and useful human skill. This ability requires the coordination of many senses and hand motion to adhere to many constraints. These cons…
Embodiment perception of a smart home assistant
Mariya Kilina, Tommaso Elia, Syed Yusha Kareem +2
Demographic growth and rise in the average age of the population is increasing the demand for the elderly assistance. Health care oriented ambient intelligence technologies are fun…
An Ergonomic Role Allocation Framework for Dynamic Human-Robot Collaborative Tasks
Elena Merlo, Edoardo Lamon, Fabio Fusaro +4
By incorporating ergonomics principles into the task allocation processes, human-robot collaboration (HRC) frameworks can favour the prevention of work-related musculoskeletal diso…
If You Are Careful, So Am I! How Robot Communicative Motions Can Influence Human Approach in a Joint Task
Linda Lastrico, Nuno Ferreira Duarte, Alessandro Carfì +4
As humans, we have a remarkable capacity for reading the characteristics of objects only by observing how another person carries them. Indeed, how we perform our actions naturally…
Robots with Different Embodiments Can Express and Influence Carefulness in Object Manipulation
Linda Lastrico, Luca Garello, Francesco Rea +4
Humans have an extraordinary ability to communicate and read the properties of objects by simply watching them being carried by someone else. This level of communicative skills and…
Gestural and Touchscreen Interaction for Human-Robot Collaboration: a Comparative Study
Antonino Bongiovanni, Alessio De Luca, Luna Gava +8
Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI,…