1 citations · 2 across the 13 of their papers we have counts for
12 papers · 1 filter
Experience-Driven Continual Learning of Terrain Traversability for Quadruped Robots
Luca Bricarello, João Carlos Virgolino Soares, Alberto Sanchez-Delgado +2
Safe and efficient quadruped navigation over unfamiliar terrain requires predicting terrain-robot interaction before contact: geometry and visual appearance alone cannot reveal how…
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…
An Event-Based Opto-Tactile Skin
Mohammadreza Koolani, Simeon Bamford, Petr Trunin +5
This paper presents a neuromorphic, event-driven tactile sensing system for soft, large-area skin, based on the Dynamic Vision Sensors (DVS) integrated with a flexible silicone opt…
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…
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…
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…
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…