Frontiers in Robotics and Ai
Overview
Frontiers in Robotics and AI is a leading interdisciplinary journal that explores the latest advancements in the fields of robotics and artificial intelligence. It publishes cutting-edge research articles, reviews, and perspectives, covering topics such as robot perception, machine learning, human-robot interaction, swarm robotics, and autonomous systems. With a focus on innovation and technological advancements, this journal serves as a platform for researchers, engineers, and practitioners to share their insights and contribute to the future of robotics and AI.
Details
Details
Abbr.
Front Robot AI
Start
2014
End
Continuing
e-ISSN
2296-9144
Country
Switzerland
Language
English
Specialty
Biomedical Engineering
Metrics
Metrics
h-index / Ranks: 6461
57
SJR / Ranks: 5191
809
CiteScore / Ranks: 5214
4.90
Recent Articles
1.
Wang H, Hughes J, Nonaka T, Abdulali A, Lalitharatne T, Iida F
Front Robot AI
. 2025 Mar;
12:1572828.
PMID: 40070455
No abstract available.
2.
Roggiolani G, Ruckin J, Popovic M, Behley J, Stachniss C
Front Robot AI
. 2025 Mar;
12:1548143.
PMID: 40070454
Robust perception systems allow farm robots to recognize weeds and vegetation, enabling the selective application of fertilizers and herbicides to mitigate the environmental impact of traditional agricultural practices. Today's perception...
3.
Schulze P, Muller S, Muller T, Gross H
Front Robot AI
. 2025 Mar;
12:1546894.
PMID: 40070453
Mobile service robots for transportation tasks are usually restricted to a barrier-free environment where they can navigate freely. To enable the use of such assistive robots in existing buildings, the...
4.
From traditional robotic deployments towards assisted robotic deployments in nuclear decommissioning
Lopez Pulgarin E, Hopper D, Montgomerie J, Kell J, Carrasco J, Herrmann G, et al.
Front Robot AI
. 2025 Mar;
12:1432845.
PMID: 40070452
The history around teleoperation and deployment of robotic systems in constrained and dangerous environments such as nuclear is a long and successful one. From the 1940s, robotic manipulators have been...
5.
Maaz N, Mounsef J, Maalouf N
Front Robot AI
. 2025 Mar;
12:1474741.
PMID: 40061441
This study proposes a novel approach to enhancing the learning experience of elementary school students by integrating Artificial Intelligence (AI) and robotics in education, focusing on personalized and adaptive learning....
6.
Che H, Wang S, Yao L, Gu Y
Front Robot AI
. 2025 Mar;
12:1499215.
PMID: 40034801
Multi-robot systems exhibit different application forms in human life, among these, electric vehicles (EVs) at rest and in motion can be perceived as a specialized category of multi-robot systems with...
7.
DIorio A, Garramone F, Rossi S, Baiano C, Santangelo G
Front Robot AI
. 2025 Mar;
12:1371583.
PMID: 40034800
Background: The Unified Theory of Acceptance and Use of Technology is a self-rated questionnaire to assess twelve constructs related to the level of acceptance of a robot, consisting of 41...
8.
Bendell R, Williams J, Fiore S, Jentsch F
Front Robot AI
. 2025 Mar;
12:1487883.
PMID: 40034799
This study examines the integration of Artificial Social Intelligence (ASI) into human teams, focusing on how ASI can enhance teamwork processes in complex tasks. Teams of three participants collaborated with...
9.
Jandaghi E, Zhou M, Stegagno P, Yuan C
Front Robot AI
. 2025 Mar;
11:1491907.
PMID: 40027988
Introduction: This paper addresses the critical need for adaptive formation control in Autonomous Underwater Vehicles (AUVs) without requiring knowledge of system dynamics or environmental data. Current methods, often assuming partial...
10.
Contreras C, Rastegarpanah A, Chiou M, Stolkin R
Front Robot AI
. 2025 Mar;
12:1540476.
PMID: 40026341
This paper presents a mini-review of the current state of research in mobile manipulators with variable levels of autonomy, emphasizing their associated challenges and application environments. The need for mobile...