5 citations · 9 across the 10 of their papers we have counts for
12 papers
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…
On the Generalization Gap in LLM Planning: Tests and Verifier-Reward RL
Valerio Belcamino, Nicholas Attolino, Alessio Capitanelli +1
Recent work shows that fine-tuned Large Language Models (LLMs) can achieve high valid plan rates on PDDL planning tasks. However, it remains unclear whether this reflects transfera…
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…
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…
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…