activity
20192026
most citedA Survey on Socially Aware Robot Navigation: Taxonomy and Future Challenges

101 citations · 110 across the 8 of their papers we have counts for

collaborators

12 papers

cs.RO2026

Understanding Engagement and Intrusiveness in Assistive Human-Robot Interaction Using Individual Traits

Valerio Bo, Lavinia Hriscu, Alberto Sanfeliu +1

Robot assistance is particularly crucial in unfamiliar tasks, where users must understand task requirements while coordinating with the robot. Previous research offers mixed eviden…

cs.RO2026

When Should Robots Intervene? Balancing Engagement and Intrusiveness in Human-Robot Interaction

Lavinia Hriscu, Valerio Bo, Alberto Sanfeliu +1

Designing effective Human-Robot Interaction in task-oriented settings requires carefully balancing user engagement with socially acceptable levels of robot intrusiveness. In this p…

cs.RO2026

Visual Proactivity: Enhancing Human-Robot Collaboration Through Intent Communication

Valerio Bo, Edison Bejarano, Anaís Garrell +1

As robots transition from performing repetitive tasks to collaborating with humans, understanding human intent becomes crucial to effective interaction. Anticipation enables robots…

cs.RO2026★ 1 cited

HEXAR: a Hierarchical Explainability Architecture for Robots

Tamlin Love, Ferran Gebellí, Pradip Pramanick +5

As robotic systems become increasingly complex, the need for explainable decision-making becomes critical. Existing explainability approaches in robotics typically either focus on…

cs.RO2025

Personalised Explanations in Long-term Human-Robot Interactions

Ferran Gebellí, Anaís Garrell, Jan-Gerrit Habekost +3

In the field of Human-Robot Interaction (HRI), a fundamental challenge is to facilitate human understanding of robots. The emerging domain of eXplainable HRI (XHRI) investigates me…

cs.RO2025

Enhancing Context-Aware Human Motion Prediction for Efficient Robot Handovers

Gerard Gómez-Izquierdo, Javier Laplaza, Alberto Sanfeliu +1

Accurate human motion prediction (HMP) is critical for seamless human-robot collaboration, particularly in handover tasks that require real-time adaptability. Despite the high accu…

cs.RO2023★ 101 cited

A Survey on Socially Aware Robot Navigation: Taxonomy and Future Challenges

Phani Teja Singamaneni, Pilar Bachiller-Burgos, Luis J. Manso +4

Socially aware robot navigation is gaining popularity with the increase in delivery and assistive robots. The research is further fueled by a need for socially aware navigation ski…

cs.RO2023★ 4 cited

Continual Learning of Hand Gestures for Human-Robot Interaction

Xavier Cucurull, Anaís Garrell

In this paper, we present an efficient method to incrementally learn to classify static hand gestures. This method allows users to teach a robot to recognize new symbols in an incr…

cs.LG2022

Humans Social Relationship Classification during Accompaniment

Oscar Castro, Ely Repiso, Anais Garrell +1

This paper presents the design of deep learning architectures which allow to classify the social relationship existing between two people who are walking in a side-by-side formatio…

cs.RO2022★ 4 cited

Body Gesture Recognition to Control a Social Robot

Javier Laplaza, Joan Jaume Oliver, Ramón Romero +2

In this work, we propose a gesture based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neu…

cs.RO2021

Initial Test of "BabyRobot" Behaviour on a Teleoperated Toy Substitution: Improving the Motor Skills of Toddlers

Eric Canas, Alba M. G. Garcia, Anais Garrell +1

This article introduces "Baby Robot", a robot aiming to improve motor skills of babies and toddlers. Authors developed a car-like toy that moves autonomously using reinforcement le…

cs.RO2019

Human-robot Collaborative Navigation Search using Social Reward Sources

Marc Dalmasso, Anaís Garrell, Pablo Jiménez +1

This paper proposes a Social Reward Sources (SRS) design for a Human-Robot Collaborative Navigation (HRCN) task: human-robot collaborative search. It is a flexible approach capable…