Frontiers in Neurorobotics
Overview
Frontiers in Neurorobotics is a leading interdisciplinary journal that explores the intersection of neuroscience and robotics. It publishes cutting-edge research on the development and application of robotic systems inspired by the principles of the brain and nervous system. The journal covers a wide range of topics, including neural interfaces, brain-machine interfaces, neuroprosthetics, cognitive robotics, and artificial intelligence. With its emphasis on bridging the gap between neuroscience and robotics, Frontiers in Neurorobotics serves as a vital platform for advancing our understanding
Details
Details
Abbr.
Front Neurorobot
Start
2007
End
Continuing
e-ISSN
1662-5218
Country
Switzerland
Language
English
Metrics
Metrics
h-index / Ranks: 7336
50
SJR / Ranks: 6592
676
CiteScore / Ranks: 5069
5.00
JIF / Ranks: 3327
3.1
Recent Articles
1.
Wang X, Guo W, Yin S, Zhang S, Zha F, Li M, et al.
Front Neurorobot
. 2025 Mar;
19:1538979.
PMID: 40060336
High-speed walking is fundamental for humanoid robots to quickly reach the work site in emergency scenarios. According to biological studies, the coordinated motion of the arms and waist can significantly...
2.
Hu J, Wang Y, Cheng S, Xu J, Wang N, Fu B, et al.
Front Neurorobot
. 2025 Mar;
19:1451923.
PMID: 40041453
Autonomous driving technology has garnered significant attention due to its potential to revolutionize transportation through advanced robotic systems. Despite optimistic projections for commercial deployment, the development of sophisticated autonomous driving...
3.
Wang Z, Song S, Cheng S
Front Neurorobot
. 2025 Feb;
19:1512953.
PMID: 40018324
Aiming at the problems of slow network convergence, poor reward convergence stability, and low path planning efficiency of traditional deep reinforcement learning algorithms, this paper proposes a BiLSTM-D3QN (Bidirectional Long...
4.
Saleh Asheghabadi A, Keymanesh M, Bahrami Moqadam S, Xu J
Front Neurorobot
. 2025 Feb;
19:1503398.
PMID: 40008035
Introduction: Object perception, particularly material detection, is predominantly performed through texture recognition, which presents significant limitations. These methods are insufficient to distinguish between different materials with similar surface roughness, and...
5.
Zhao C, Yu Y, Ye Z, Tian Z, Zhang Y, Zeng L
Front Neurorobot
. 2025 Feb;
19:1478758.
PMID: 39991554
Slip detection is to recognize whether an object remains stable during grasping, which can significantly enhance manipulation dexterity. In this study, we explore slip detection for five-finger robotic hands being...
6.
Mao L, Guo Z, Liu M, Li Y, Wang L, Li J
Front Neurorobot
. 2025 Feb;
18:1518878.
PMID: 39980656
Introduction: To enhance the detection of litchi fruits in natural scenes, address challenges such as dense occlusion and small target identification, this paper proposes a novel multimodal target detection method,...
7.
Zhao Y, Wu J, Zheng M
Front Neurorobot
. 2025 Feb;
19:1546731.
PMID: 39975484
Time angle of arrival (AoA) and time difference of arrival (TDOA) are two widely used methods for solving dynamic signal source localization (DSSL) problems, where the position of a moving...
8.
Han J, Ma D
Front Neurorobot
. 2025 Feb;
19:1550787.
PMID: 39975483
For the researches of cooperative control scheme for multirobot systems, this paper sets up an experimental platform based on dobot robots, which can be used to perform physical experiments to...
9.
Jiang L, Fu C, Liang Y, Jin Y, Wang H
Front Neurorobot
. 2025 Feb;
18:1513458.
PMID: 39949389
Dexterous hands play vital roles in tasks performed by humanoid robots. For the first time, we quantify the correlation between design variables and the performance of 65 dexterous hands using...
10.
Akcal U, Raikov I, Gribkova E, Choudhuri A, Kim S, Gazzola M, et al.
Front Neurorobot
. 2025 Feb;
18:1490267.
PMID: 39944357
Visual place recognition (VPR) is the ability to recognize locations in a physical environment based only on visual inputs. It is a challenging task due to perceptual aliasing, viewpoint and...