Frontiers in Robotics and AI

Original Research

Published on 01 Oct 2025

An approach for unsupervised interaction clustering in human–robot co-work using spatiotemporal graph convolutional networks

Aaron Heuermann
Zied Ghrairi
Anton Zitnikov
Abdullah Al Noman
Klaus-Dieter Thoben

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1545712

846 views

Original Research

Published on 01 Oct 2025

Designing socially assistive robots for clinical practice: insights from an asynchronous remote community of speech-language pathologists

Denielle Oliva
Abbie Olszewski
Shekoufeh Sadeghi
Karthik Dantu
David Feil-Seifer

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1646880

838 views

Review

Accepted on 30 Sep 2025

Efficient and Real-Time Perception: A Survey on End-to-End Event-Based Object Detection in Autonomous Driving

Kamilya Smagulova
Ahmed Elsheikh
Diego Augusto Silva
Mohammed Fouda
Ahmed Mohamed Eltawil

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1674421

Editorial

Accepted on 29 Sep 2025

Examining The Translation and Implementation of Robotics and Embodied AI in Healthcare: Two Persistent Gaps

Stephanie Tulk Jesso
William George Kennedy
Nele Russwinkel
Levern Currie

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1659302

242 views

Review

Accepted on 29 Sep 2025

NANO BIO-ROBOTS: A NEW FRONTIER IN TARGETED THERAPEUTIC DELIVERY

Mariya Anto
Koena Mukherjee
Koel Mukherjee

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1639445

Original Research

Accepted on 29 Sep 2025

An In-situ Participatory Approach for Assistive Robots: Methodology and Implementation in a Healthcare Setting

Ferran Gebelli
Raquel Ros

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1648737

113 views

Original Research

Accepted on 29 Sep 2025

FleXo: A Flexible Passive Exoskeleton Optimized for Reducing Lower Back Strain in Manual Handling Tasks

Federico Allione
Maria Lazzaroni
ANTONIOS EMMANOUIL GKIKAKIS
Christian Di Natali
Luigi Monica
Darwin Gordon Caldwell
Jesus Ortiz

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1687825

104 views

Original Research

Accepted on 29 Sep 2025

FROG: A new people detection dataset for knee-high 2D range finders

Fernando Amodeo
Noé Pérez-Higueras
Luis Merino
Fernando Caballero

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1671673

Original Research

Published on 29 Sep 2025

Accuracy evaluation of robot-guided laser osteotomy for dental implant bed preparation - a digital high-tech procedure

Florian M. Thieringer
Regina Walher
Florian S. Halbeisen
Quentin Garnier
Adrian Dragu
Bilal Msallem

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1614659

899 views

Editorial

Published on 29 Sep 2025

Editorial: Robotics software engineering

Federico Ciccozzi
Ivano Malavolta
Christopher Timperley
Andreas Angerer
Alwin Hoffmann

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1686496

834 views

Original Research

Accepted on 26 Sep 2025

AniDriveQA: A VQA Dataset for Driving Scenes with Animal Presence

Rui Wang
Ruiqi Wang
Hao Hu
Huai Yu

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1684845

295 views

Original Research

Published on 26 Sep 2025

DreamerNav: learning-based autonomous navigation in dynamic indoor environments using world models

Stuart Shanks
Jonathan Embley-Riches
Jianheng Liu
Andromachi Maria Delfaki
Carlo Ciliberto
Dimitrios Kanoulas

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1655171

2,998 views

Original Research

Published on 26 Sep 2025

Should robots display what they hear? Mishearing as a practical accomplishment

Damien Rudaz
Christian Licoppe

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1597276

808 views

Original Research

Published on 25 Sep 2025

A machine learning web application for screening social anxiety disorder based on participants’ emotion regulation (ML-SAD)

Sara Ahmadi Majd
Mohamad Rasoul Parsaeian
Mohsen Madani
Hadi Moradi
Abolfazl Mohammadi

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1620609

1,957 views

Original Research

Published on 25 Sep 2025

A multi-user multi-robot multi-goal multi-device human-robot interaction manipulation benchmark

Akito Yoshida
Rousslan Fernand Julien Dossa
Marina Di Vincenzo
Shivakanth Sujit
Hannah Douglas
Kai Arulkumaran

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1528754

1,404 views

Original Research

Published on 25 Sep 2025

Weber–Fechner law in temporal difference learning derived from control as inference

Keiichiro Takahashi
Taisuke Kobayashi
Tomoya Yamanokuchi
Takamitsu Matsubara

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1649154

1,282 views

2,244 Publications

Volume 12 - 2025

An approach for unsupervised interaction clustering in human–robot co-work using spatiotemporal graph convolutional networks

Designing socially assistive robots for clinical practice: insights from an asynchronous remote community of speech-language pathologists

Efficient and Real-Time Perception: A Survey on End-to-End Event-Based Object Detection in Autonomous Driving

Examining The Translation and Implementation of Robotics and Embodied AI in Healthcare: Two Persistent Gaps

NANO BIO-ROBOTS: A NEW FRONTIER IN TARGETED THERAPEUTIC DELIVERY

An In-situ Participatory Approach for Assistive Robots: Methodology and Implementation in a Healthcare Setting

FleXo: A Flexible Passive Exoskeleton Optimized for Reducing Lower Back Strain in Manual Handling Tasks

FROG: A new people detection dataset for knee-high 2D range finders

Accuracy evaluation of robot-guided laser osteotomy for dental implant bed preparation - a digital high-tech procedure

Editorial: Robotics software engineering

AniDriveQA: A VQA Dataset for Driving Scenes with Animal Presence

DreamerNav: learning-based autonomous navigation in dynamic indoor environments using world models

Should robots display what they hear? Mishearing as a practical accomplishment

A machine learning web application for screening social anxiety disorder based on participants’ emotion regulation (ML-SAD)

A multi-user multi-robot multi-goal multi-device human-robot interaction manipulation benchmark

Weber–Fechner law in temporal difference learning derived from control as inference