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• The Importance of Models in Data Analysis with Small Human Movement Datasets: Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
  This work presents a system identification procedure based on Convolutional Neural Networks (CNN) for human posture control using the DEC (Disturbance Estimation and Compensation) parametric model. The modular structure of the proposed control model inspired t…
  openalex Vittorio Lippi, Christoph Maurer, Thomas Mergner, T. Mergner 2021-01-01 置信度 0.72 Modular designComputer scienceIdentification (biology)Compensation (psychology)Artificial intelligence
• Recognition of musical beat and style and applications in interactive humanoid robot
  The musical beat and style recognition have high application value in music information retrieval. However, the traditional methods mostly use a convolutional neural network (CNN) as the backbone and have poor performance. Accordingly, the present work chooses…
  crossref Yue Chu 2022-08-04T04:35:40Z 置信度 0.70
• Editorial: Focus on methods: neural algorithms for bio-inspired robotics
  pubmed Luca Patanè, Guoping Zhao, Patanè L, Zhao G 2023 置信度 0.82
• Intelligent Badminton Training Robot in Athlete Injury Prevention Under Machine Learning
  This study was developed to explore the role of the intelligent badminton training robot (IBTR) to prevent badminton player injuries based on the machine learning algorithm. An IBTR is designed from the perspectives of hardware and software systems, and the mo…
  crossref Jun Xie, Guohua Chen, Shuang Liu 2021-03-12T04:47:10Z 置信度 0.70
• Neural-Dynamic Based Synchronous-Optimization Scheme of Dual Redundant Robot Manipulators
  In order to track complex-path tasks in three dimensional space without joint-drifts, a neural-dynamic based synchronous-optimization (NDSO) scheme of dual redundant robot manipulators is proposed and developed. To do so, an acceleration-level repetitive motio…
  crossref Zhijun Zhang, Qiongyi Zhou, Weisen Fan 2018-11-08T04:33:18Z 置信度 0.70
• Cognitive Mapping Based on Conjunctive Representations of Space and Movement
  It is a challenge to build robust simultaneous localization and mapping (SLAM) system in dynamical large-scale environments. Inspired by recent findings in the entorhinal-hippocampal neuronal circuits, we propose a cognitive mapping model that includes continu…
  crossref Taiping Zeng, Bailu Si 2017-11-22T13:23:28Z 置信度 0.70
• Brain-inspired biomimetic robot control: a review
  Complex robotic systems, such as humanoid robot hands, soft robots, and walking robots, pose a challenging control problem due to their high dimensionality and heavy non-linearities. Conventional model-based feedback controllers demonstrate robustness and stab…
  crossref Adrià Mompó Alepuz, Dimitrios Papageorgiou, Silvia Tolu 2024-08-19T06:00:43Z 置信度 0.70
• Recognition new energy vehicles based on improved YOLOv5
  In the field of Intelligent Traffic Systems (ITS), vehicle recognition is a hot research topic. Although different types of vehicles can already be recognized, further identification and statistics of new energy and fuel vehicles in unknown and complex environ…
  pubmed Yannan Hu, Mingming Kong, Mingsheng Zhou, Zhanbo Sun 等 2023 置信度 0.82
• A Dynamical Generative Model of Social Interactions
  The ability to make accurate social inferences makes humans able to navigate and act in their social environment effortlessly. Converging evidence shows that motion is one of the most informative cues in shaping the perception of social interactions. However, …
  crossref Alessandro Salatiello, Mohammad Hovaidi-Ardestani, Martin A. Giese 2021-06-09T08:40:49Z 置信度 0.70
• System Transparency in Shared Autonomy: A Mini Review
  What does transparency mean in a shared autonomy framework? Different ways of understanding system transparency in human-robot interaction can be found in the state of the art. In one of the most common interpretations of the term, transparency is the observab…
  crossref Victoria Alonso, Paloma de la Puente 2018-11-30T00:27:03Z 置信度 0.70
• Optimal UAV's Deployment and Transmit Power Design for Two Users Uplink NOMA Systems
  In order to fully utilize the spectrum resources, this work considers a unmanned aerial vehicle (UAV) uplink communication system based on non-orthogonal multiple access technology (NOMA), in which the UAV receives information from the ground users with a cert…
  crossref Fayong Zhao 2021-01-15T04:18:21Z 置信度 0.70
• Fine-grained image classification method based on hybrid attention module
  To efficiently capture feature information in tasks of fine-grained image classification, this study introduces a new network model for fine-grained image classification, which utilizes a hybrid attention approach. The model is built upon a hybrid attention mo…
  crossref Weixiang Lu, Ying Yang, Lei Yang 2024-05-03T13:17:45Z 置信度 0.70
• Editorial: Biomimetic control architectures for robots
  EDITORIAL article Front. Neurorobot., 16 August 2022 Volume 16 - 2022 | https://doi.org/10.3389/fnbot.2022.998045
  crossref Silvia Tolu, Egidio Falotico, Danish Shaikh, Eduardo Ros 2022-08-16T07:46:45Z 置信度 0.70
• Am I (Deep) Blue? Music-Making AI and Emotional Awareness
  Artificial Intelligence has shown paradigmatic success in defeating world champions in strategy games. However, the same programming tactics are not a reasonable approach to creative and ostensibly emotional artistic endeavors such as music composition. Here w…
  crossref Nicholas Novelli, Shannon Proksch 2022-06-21T05:58:22Z 置信度 0.70
• Modeling the Synchronization of Multimodal Perceptions as a Basis for the Emergence of Deterministic Behaviors
  Living organisms have either innate or acquired mechanisms for reacting to percepts with an appropriate behavior e.g., by escaping from the source of a perception detected as threat, or conversely by approaching a target perceived as potential food. In the cas…
  crossref Pierre Bonzon 2020-12-03T08:35:43Z 置信度 0.70
• A framework for neurosymbolic robot action planning using large language models
  Symbolic task planning is a widely used approach to enforce robot autonomy due to its ease of understanding and deployment in engineered robot architectures. However, techniques for symbolic task planning are difficult to scale in real-world, highly dynamic, h…
  crossref Alessio Capitanelli, Fulvio Mastrogiovanni 2024-06-04T01:52:41Z 置信度 0.70
• Editorial: Machine learning and applied neuroscience
  pubmed Wellington Pinheiro dos Santos, Vincenzo Conti, Orazio Gambino, Ganesh R. Naik 等 2023 置信度 0.82
• Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications
  Modelling is continuously being deployed to gain knowledge on the mechanisms of motor control. Computational models, simulating the behaviour of complex systems, have often been used in combination with soft computing strategies, thus shifting the rationale of…
  crossref Silvia Conforto 2009-11-03T11:49:46Z 置信度 0.70
• Cross-modal self-attention mechanism for controlling robot volleyball motion
  Introduction The emergence of cross-modal perception and deep learning technologies has had a profound impact on modern robotics. This study focuses on the application of these technologies in the field of robot control, specifically in the context of volleyba…
  pubmed Meifang Wang, Zhange Liang, Wang M, Liang Z 2023 置信度 0.82
• PCE simulation toolkit: a platform for perceptual crossing experiment research
  The Perceptual Crossing Experiment (PCE) has been the object of study for over a decade, and aims at explaining how we perceive, interact with, and understand each other in real-time. In addition to human participant studies, a number of computational models h…
  pubmed Federico Sangati, Rui Fukushima, Sangati F, Fukushima R 2023 置信度 0.82
• Situated Neural Representations: Solving the Problems of Content
  Situated approaches to cognition maintain that cognition is embodied, embedded, enactive, and affective (and extended, but that is not relevant here). Situated approaches are often pitched as alternatives to computational and representational approaches, accor…
  crossref Gualtiero Piccinini 2022-04-14T16:23:33Z 置信度 0.70
• Editorial: Multimodal behavior from animals to bio-inspired robots
  pubmed Yaguang Zhu, Poramate Manoonpong, Qiao Hu, Zhu Y 等 2023 置信度 0.82
• Toward embodied artificial cognition: TIME is on my side
  crossref Michail Maniadakis, Marc Wittmann, Sylvie Droit-Volet, Yoonsuck Choe 2014-12-08T16:14:44Z 置信度 0.70
• Editorial: Engineering applications of neurocomputing, volume II
  pubmed Long Wang, Zhe Song, Zijun Zhang, Chao Huang 等 2023 置信度 0.82
• Brain-inspired multimodal motion and fine-grained action recognition
  Introduction Traditional action recognition methods predominantly rely on a single modality, such as vision or motion, which presents significant limitations when dealing with fine-grained action recognition. These methods struggle particularly with video data…
  crossref Yuening Li, Xiuhua Yang, Changkui Chen 2025-01-24T07:16:15Z 置信度 0.70
• Visual-Haptic Size Estimation in Peripersonal Space
  In perceptual psychology, estimations of visual depth and size under different spatial layouts have been extensively studied. However, research evidence in virtual environments (VE) is relatively lacking. The emergence of human-computer interaction (HCI) and v…
  crossref Nikolaos Katzakis, Lihan Chen, Frank Steinicke 2020-04-16T07:29:27Z 置信度 0.70
• An Augmented Neural Network for Sentiment Analysis Using Grammar
  Understanding human sentiment from their expressions is very important in human-robot interaction. But deep learning models are hard to represent grammatical changes for natural language processing (NLP), especially for sentimental analysis, which influence th…
  crossref Baohua Zhang, Huaping Zhang, Jianyun Shang, Jiahao Cai 2022-07-01T08:08:35Z 置信度 0.70
• Editorial: Toward and beyond human-level AI, volume II
  pubmed Witali Dunin-Barkowski, Alexander Gorban, Dunin-Barkowski W, Gorban A 2022 置信度 0.82
• Crossmodal Language Comprehension—Psycholinguistic Insights and Computational Approaches
  Crossmodal interaction in situated language comprehension is important for effective and efficient communication. The relationship between linguistic and visual stimuli provides mutual benefit: While vision contributes, for instance, information to improve lan…
  crossref Özge Alaçam, Xingshan Li, Wolfgang Menzel, Tobias Staron 2020-01-31T04:27:31Z 置信度 0.70
• Speech Driven Gaze in a Face-to-Face Interaction
  Gaze and language are major pillars in multimodal communication. Gaze is a non-verbal mechanism that conveys crucial social signals in face-to-face conversation. However, compared to language, gaze has been less studied as a communication modality. The purpose…
  crossref Ülkü Arslan Aydin, Sinan Kalkan, Cengiz Acartürk 2021-03-04T08:47:36Z 置信度 0.70
• Open-Environment Robotic Acoustic Perception for Object Recognition
  Object recognition in containers is extremely difficult for robots. Dynamic audio signals are more responsive to an object's internal property. Therefore, we adopt the dynamic contact method to collect acoustic signals in the container and recognize objects in…
  crossref Shaowei Jin, Huaping Liu, Bowen Wang, Fuchun Sun 2019-11-22T09:35:53Z 置信度 0.70
• Shaping of Shared Autonomous Solutions With Minimal Interaction
  A fundamental problem in creating successful shared autonomy systems is enabling efficient specification of the problem for which an autonomous system can generate a solution. We present a general paradigm, Interactive Shared Solution Shaping (IS3), broadly ap…
  crossref Christopher Reardon, Hao Zhang, Jonathan Fink 2018-09-03T07:16:52Z 置信度 0.70
• The use of deep learning technology in dance movement generation
  The dance generated by the traditional music action matching and statistical mapping models is less consistent with the music itself. Moreover, new dance movements cannot be generated. A dance movement generation algorithm based on deep learning is designed to…
  crossref Xin Liu, Young Chun Ko 2022-08-05T08:10:02Z 置信度 0.70
• Artificial Intelligence Technology in Basketball Training Action Recognition
  The primary research purpose lies in studying the intelligent detection of movements in basketball training through artificial intelligence (AI) technology. Primarily, the theory of somatosensory gesture recognition is analyzed, which lays a theoretical founda…
  crossref Yao Cheng, Xiaojun Liang, Yi Xu, Xin Kuang 2022-06-27T13:23:52Z 置信度 0.70
• SmartFPS: Neural network based wireless-inertial fusion positioning system
  Current wireless-inertial fusion positioning systems widely adopt empirical propagation models of wireless signals and filtering algorithms such as the Kalman filter or the particle filter. However, empirical models of system and noise usually have lower accur…
  pubmed Luchi Hua, Yuan Zhuang, Jun Yang, Hua L 等 2023 置信度 0.82
• Weighted residual network for SAR automatic target recognition with data augmentation
  Introduction Decades of research have been dedicated to overcoming the obstacles inherent in synthetic aperture radar (SAR) automatic target recognition (ATR). The rise of deep learning technologies has brought a wave of new possibilities, demonstrating signif…
  pubmed Junyu Li, Cheng Peng, Li J, Peng C 2023 置信度 0.82
• AutoPath: Image-Specific Inference for 3D Segmentation
  In recent years, deep convolutional neural networks (CNNs) has made great achievements in the field of medical image segmentation, among which residual structure plays a significant role in the rapid development of CNN-based segmentation. However, the 3D resid…
  crossref Dong Sun, Yi Wang, Dong Ni, Tianfu Wang 2020-07-24T12:15:55Z 置信度 0.70
• Editorial: Bio A.I. - from embodied cognition to enactive robotics
  pubmed Adam Safron, Inês Hipólito, Andy Clark, Safron A 等 2023 置信度 0.82
• Editorial: Hybrid brain-robot interfaces for enhancing mobility
  pubmed Stefano Tortora, Fiorenzo Artoni, Silvestro Micera, Luca Tonin 等 2023 置信度 0.82
• Metric networks for enhanced perception of non-local semantic information
  Introduction Metric learning, as a fundamental research direction in the field of computer vision, has played a crucial role in image matching. Traditional metric learning methods aim at constructing two-branch siamese neural networks to address the challenge …
  pubmed Jia Li, Yu-qian Zhou, Qiu-yan Zhang, Li J 等 2023 置信度 0.82
• Multimodal medical image fusion using convolutional neural network and extreme learning machine
  The emergence of multimodal medical imaging technology greatly increases the accuracy of clinical diagnosis and etiological analysis. Nevertheless, each medical imaging modal unavoidably has its own limitations, so the fusion of multimodal medical images may b…
  pubmed Weiwei Kong, Chi Li, Yang Lei, Kong W 等 2022 置信度 0.82
• Research on a Segmentation Algorithm for the Tujia Brocade Images Based on Unsupervised Gaussian Mixture Clustering
  Tujia brocades are important carriers of Chinese Tujia national culture and art. It records the most detailed and real cultural history of Tujia nationality and is one of the National Intangible Cultural Heritage. Classic graphic elements are separated from Tu…
  crossref Shuqi He 2021-09-04T07:06:42Z 置信度 0.70
• Strip steel surface defect detection based on lightweight YOLOv5
  Deep learning-based methods for detecting surface defects on strip steel have advanced detection capabilities, but there are still problems of target loss, false alarms, large computation, and imbalance between detection accuracy and detection speed. In order …
  pubmed Yongping Zhang, Sijie Shen, Sen Xu, Zhang Y 等 2023 置信度 0.82
• Learning and Acting in Peripersonal Space: Moving, Reaching, and Grasping
  The young infant explores its body, its sensorimotor system, and the immediately accessible parts of its environment, over the course of a few months creating a model of peripersonal space useful for reaching and grasping objects around it. Drawing on constrai…
  crossref Jonathan Juett, Benjamin Kuipers 2019-02-22T09:26:37Z 置信度 0.70
• NAN-DETR: noising multi-anchor makes DETR better for object detection
  Object detection plays a crucial role in robotic vision, focusing on accurately identifying and localizing objects within images. However, many existing methods encounter limitations, particularly when it comes to effectively implementing a one-to-many matchin…
  crossref Zixin Huang, Xuesong Tao, Xinyuan Liu 2024-10-14T05:10:36Z 置信度 0.70
• Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules
  This paper proposes Cooperative and competitive Reinforcement And Imitation Learning (CRAIL) for selecting an appropriate policy from a set of multiple heterogeneous modules and training all of them in parallel. Each learning module has its own network archite…
  crossref Eiji Uchibe 2018-09-27T04:15:50Z 置信度 0.70
• Peripheral Nervous System Interfaces: Invasive or Non-invasive?
  OPINION article Front. Neurorobot., 29 April 2022 https://doi.org/10.3389/fnbot.2022.846866
  crossref Claudio Castellini 2022-04-29T06:53:29Z 置信度 0.70
• Editorial: Computational models of affordance for robotics
  crossref Erwan Renaudo, Philipp Zech, Raja Chatila, Mehdi Khamassi 2022-10-06T11:42:00Z 置信度 0.70
• An improved adaptive triangular mesh-based image warping method
  It is of vital importance to stitch the two images into a panorama in many computer vision applications of motion detection and tracking and virtual reality, panoramic photography, and virtual tours. To preserve more local details and with few artifacts in pan…
  pubmed Wei Tang, Fangxiu Jia, Xiaoming Wang, Tang W 等 2022 置信度 0.82
• Editorial: Cognitive Brain-Inspired Cyber-Physical Systems in Industrial Informatics
  EDITORIAL article Front. Neurorobot., 23 June 2022 https://doi.org/10.3389/fnbot.2022.926538
  crossref Arun Kumar Sangaiah, Patrick Siarry 2022-06-23T09:38:01Z 置信度 0.70
• Toward robust and scalable deep spiking reinforcement learning
  Deep reinforcement learning (DRL) combines reinforcement learning algorithms with deep neural networks (DNNs). Spiking neural networks (SNNs) have been shown to be a biologically plausible and energy efficient alternative to DNNs. Since the introduction of sur…
  pubmed Mahmoud Akl, Deniz Ergene, Florian Walter, Alois Knoll 等 2022 置信度 0.82
• Flexible Spiking CPGs for Online Manipulation During Hexapod Walking
  Neural signals for locomotion are influenced both by the neural network architecture and sensory inputs coordinating and adapting the gait to the environment. Adaptation relies on the ability to change amplitude, frequency, and phase of the signals within the …
  crossref Beck Strohmer, Poramate Manoonpong, Leon Bonde Larsen 2020-06-26T18:39:51Z 置信度 0.70
• Adaptive Fusion Based Method for Imbalanced Data Classification
  The imbalance problem is widespread in real-world applications. When training a classifier on the imbalance datasets, the classifier is hard to learn an appropriate decision boundary, which causes unsatisfying classification performance. To deal with the imbal…
  crossref Zefeng Liang, Huan Wang, Kaixiang Yang, Yifan Shi 2022-02-28T04:26:24Z 置信度 0.70
• Semantic enhanced for out-of-distribution detection
  While improving the performance on the out-of-distribution (OOD) benchmark dataset, the existing approach misses a portion of the valid discriminative information such that it reduces the performance on the same manifold OOD (SMOOD) data. The key to addressing…
  pubmed Weijie Jiang, Yuanlong Yu, Jiang W, Yu Y 2022 置信度 0.82
• Predictable internal brain dynamics in EEG and its relation to conscious states
  Consciousness is a complex and multi-faceted phenomenon defying scientific explanation. Part of the reason why this is the case is due to its subjective nature. In our previous computational experiments, to avoid such a subjective trap, we took a strategy to i…
  openalex Jaewook Yoo, Jaerock Kwon, Yoonsuck Choe 2014-06-03 置信度 0.72 ConsciousnessElectroencephalographyAnticipation (artificial intelligence)Unconscious mindPerception
• From grid cells and visual place cells to multimodal place cell: a new robotic architecture
  In the present study, a new architecture for the generation of grid cells (GC) was implemented on a real robot. In order to test this model a simple place cell (PC) model merging visual PC activity and GC was developed. GC were first built from a simple "sever…
  crossref Adrien Jauffret, Nicolas Cuperlier, Philippe Gaussier 2015-04-07T13:29:42Z 置信度 0.70
• EEG-driven automatic generation of emotive music based on transformer
  Utilizing deep features from electroencephalography (EEG) data for emotional music composition provides a novel approach for creating personalized and emotionally rich music. Compared to textual data, converting continuous EEG and music data into discrete unit…
  crossref Hui Jiang, Yu Chen, Di Wu, Jinlin Yan 2024-08-19T01:10:28Z 置信度 0.70
• Intrinsic Rewards for Maintenance, Approach, Avoidance, and Achievement Goal Types
  In reinforcement learning, reward is used to guide the learning process. The reward is often designed to be task-dependent, and it may require significant domain knowledge to design a good reward function. This paper proposes general reward functions for maint…
  crossref Paresh Dhakan, Kathryn Merrick, Iñaki Rañó, Nazmul Siddique 2018-10-09T03:59:51Z 置信度 0.70
• Real-Time Occlusion-Robust Deformable Linear Object Tracking With Model-Based Gaussian Mixture Model
  Tracking and manipulating deformable linear objects (DLOs) has great potential in the industrial world. However, estimating the object's state is crucial and challenging, especially when dealing with heavy occlusion situations and physical properties of differ…
  crossref Taohan Wang, Yuji Yamakawa 2022-05-13T06:27:50Z 置信度 0.70
• Molecular quantum robotics: particle and wave solutions, illustrated by “leg-over-leg” walking along microtubules
  Remarkable biological examples of molecular robots are the proteins kinesin-1 and dynein, which move and transport cargo down microtubule "highways," e.g., of the axon, to final nerve nodes or along dendrites. They convert the energy of ATP hydrolysis into mec…
  crossref Paul Levi 2015-05-08T13:44:53Z 置信度 0.70
• Advances in haptic feedback for neurorobotics applications
  openalex 2023-01-01 置信度 0.72 Haptic technologyComputer scienceHuman–computer interactionSimulation
• Detection of tactile-based error-related potentials (ErrPs) in human-robot interaction
  Robot learning based on implicitly extracted error detections (e.g., EEG-based error detections) has been well-investigated in human-robot interaction (HRI). In particular, the use of error-related potential (ErrP) evoked when recognizing errors is advantageou…
  pubmed Su Kyoung Kim, Elsa Andrea Kirchner, Kim SK, Kirchner EA 2023 置信度 0.82
• Motor-Skill Learning in an Insect Inspired Neuro-Computational Control System
  In nature, insects show impressive adaptation and learning capabilities. The proposed computational model takes inspiration from specific structures of the insect brain: after proposing key hypotheses on the direct involvement of the mushroom bodies (MBs) and …
  crossref Eleonora Arena, Paolo Arena, Roland Strauss, Luca Patané 2017-03-08T03:32:05Z 置信度 0.70
• Editorial: Biometric monitoring of emotions and behaviors
  pubmed Antonio M. López, Enrique León, Olga L. Quintero Montoya, López AM 等 2022 置信度 0.82
• Editorial: Neuroergonomics in Human-Robot Interaction
  tool, or even extension of its user in ecologically valid contexts. Accordingly, we can achieve a 22 "neuroergonomic robot": usable, acceptable, safe, and minimally demanding in terms of mental 23 workload according to indices of neural activity, considered as…
  crossref Giacinto Barresi, Chang S. Nam, Ehsan T. Esfahani, Michela Balconi 2022-09-06T10:25:48Z 置信度 0.70
• Serendipitous Offline Learning in a Neuromorphic Robot
  We demonstrate a hybrid neuromorphic learning paradigm that learns complex sensorimotor mappings based on a small set of hard-coded reflex behaviors. A mobile robot is first controlled by a basic set of reflexive hand-designed behaviors. All sensor data is pro…
  crossref Terrence C. Stewart, Ashley Kleinhans, Andrew Mundy, Jörg Conradt 2016-02-15T09:05:25Z 置信度 0.70
• Iterative transfer learning for automatic collective motion tuning on multiple robot platforms
  This paper proposes an iterative transfer learning approach to achieve swarming collective motion in groups of mobile robots. By applying transfer learning, a deep learner capable of recognizing swarming collective motion can use its knowledge to tune stable c…
  pubmed Shadi Abpeikar, Kathryn Kasmarik, Matt Garratt, Abpeikar S 等 2023 置信度 0.82
• Using Bionics to Restore Sensation to Reconstructed Breasts
  Mastectomy often leads to a complete desensitization of the chest, which in turn can give rise to diminished sexual function and to disembodiment of the breasts. One approach to mitigate the sensory consequences of mastectomy is to leverage technology that has…
  crossref Stacy T. Lindau, Sliman J. Bensmaia 2020-05-08T12:55:44Z 置信度 0.70
• A lightweight Chinese–English translation model integrating compressed BERT attention and phrase discard mechanism
  Chinese–English machine translation based on neural network model strictly adopts the sequential modeling method of encoder–decoder. However, this traditional method cannot make effective use of syntactic information and linguistic hierarchy information. There…
  europepmc Xin Qi, Hang Bao 2026 置信度 0.80
• Effects of Assist-As-Needed Upper Extremity Robotic Therapy after Incomplete Spinal Cord Injury: A Parallel-Group Controlled Trial
  Background - Robotic rehabilitation of the upper limb following neurological injury has been supported through several large clinical studies for individuals with chronic stroke. The application of robotic rehabilitation to the treatment of other neurological …
  crossref John Michael Frullo 2017-07-06T10:54:34Z 置信度 0.70
• Grounding action words in the sensorimotor interaction with the world: experiments with a simulated iCub humanoid robot
  This paper presents a cognitive robotics model for the study of the embodied representation of action words. The present research will present how an iCub humanoid robot can learn the meaning of action words (i.e. words that represent dynamical events that hap…
  crossref Davide Marocco 2010-06-29T06:37:55Z 置信度 0.70
• Fetal Origin of Sensorimotor Behavior
  The aim of this article is to track the fetal origin of infants' sensorimotor behavior. We consider development as the self-organizing emergence of complex forms from spontaneously generated activity, governed by the innate capacity to detect and memorize the …
  crossref Jaqueline Fagard, Rana Esseily, Lisa Jacquey, Kevin O’Regan 等 2018-05-23T04:23:46Z 置信度 0.70
• Multi-dimensional fusion: transformer and GANs-based multimodal audiovisual perception robot for musical performance art
  Introduction In the context of evolving societal preferences for deeper emotional connections in art, this paper explores the emergence of multimodal robot music performance art. It investigates the fusion of music and motion in robot performances to enhance e…
  pubmed Shiyi Lu, Panpan Wang, Lu S, Wang P 2023 置信度 0.82
• 1P1-B08 Feasibility of EEG as Human-Machine Interface Modality Analysis of EEG data from Brain-Machine Interface(Neurorobotics & Cognitive Robotics)
  Brain-signal has been studied as an input modality for human-machine interface (HMI). Using Brain-signal-based HMI, people with impaired abilities can communicate with a machine by the brain's electrical activity. This study focused on Electro Encephalo Gram (…
  crossref Jaeho Chung, Jae-hwan Bong, Suhun Jung, Shinsuk Park 2017-06-27T00:45:04Z 置信度 0.70
• Multimodal Hierarchical Dirichlet Process-Based Active Perception by a Robot
  In this paper, we propose an active perception method for recognizing object categories based on the multimodal hierarchical Dirichlet process (MHDP). The MHDP enables a robot to form object categories using multimodal information, e.g., visual, auditory, and …
  crossref Tadahiro Taniguchi, Ryo Yoshino, Toshiaki Takano 2018-05-22T03:37:32Z 置信度 0.70
• A computational roadmap to electronic drugs
  A growing number of complex neurostimulation strategies promise symptom relief and functional recovery for several neurological, psychiatric, and even multi-organ disorders. Although pharmacological interventions are currently the mainstay of treatment, neuros…
  pubmed Andreas Rowald, Oliver Amft, Rowald A, Amft O 2022 置信度 0.82
• Gazing at Social Interactions Between Foraging and Decision Theory
  Finding the underlying principles of social attention in humans seems to be essential for the design of the interaction between natural and artificial agents. Here, we focus on the computational modeling of gaze dynamics as exhibited by humans when perceiving …
  crossref Alessandro D'Amelio, Giuseppe Boccignone 2021-03-30T06:51:04Z 置信度 0.70
• Hebbian Plasticity in CPG Controllers Facilitates Self-Synchronization for Human-Robot Handshaking
  It is well-known that human social interactions generate synchrony phenomena which are often unconscious. If the interaction between individuals is based on rhythmic movements, synchronized and coordinated movements will emerge from the social synchrony. This …
  crossref Melanie Jouaiti, Lancelot Caron, Patrick Hénaff 2018-06-08T05:11:01Z 置信度 0.70
• An intrinsic value system for developing multiple invariant representations with incremental slowness learning
  Curiosity Driven Modular Incremental Slow Feature Analysis (CD-MISFA;) is a recently introduced model of intrinsically-motivated invariance learning. Artificial curiosity enables the orderly formation of multiple stable sensory representations to simplify the …
  crossref Matthew Luciw, Varun Kompella, Sohrob Kazerounian, Juergen Schmidhuber 2013-05-30T06:30:57Z 置信度 0.70
• RL-QPSO net: deep reinforcement learning-enhanced QPSO for efficient mobile robot path planning
  Introduction Path planning in complex and dynamic environments poses a significant challenge in the field of mobile robotics. Traditional path planning methods such as genetic algorithms, Dijkstra's algorithm, and Floyd's algorithm typically rely on determinis…
  crossref Yang Jing, Li Weiya 2025-01-08T01:19:01Z 置信度 0.70
• Correction: ST-HONet: Spatio-Temporal Hierarchical Network for long-horizon bimanual visuomotor imitation.
  [This corrects the article DOI: 10.3389/fnbot.2026.1860170.].
  europepmc 2026 置信度 0.80
• Morphology-agnostic humanoid retargeting via perception-motivated graph similarity.
  Quantifying motion similarity, despite its inherently subjective nature, is a foundational problem for humanoid motion transfer and control across different embodiments. Drawing from cognitive studies revealing that human motion similarity judgments are strong…
  europepmc Chaojie Fu, Chengkai Su, Lei Jiang, Kaixin Lan 等 2026 置信度 0.80
• Intention-driven ankle exoskeleton training acutely alters swing foot clearance distribution: a preliminary study.
  Introduction Tripping is a leading cause of falls, and Minimum Foot Clearance (MFC)-the lowest vertical swing-foot displacement during mid-swing-is a key gait event associated with tripping risk. Preventing tripping requires not only sufficiently high MFC but …
  europepmc 2026 置信度 0.80
• Two-layer hierarchical MPPT strategy of PV systems based on AF-EPO algorithm under complex irradiance conditions.
  Photovoltaic power generation systems exhibit multi-peak power-voltage characteristics under partial shading conditions, severely limiting the effectiveness of conventional maximum power point tracking methods. This paper proposes a two-layer hierarchical MPPT…
  europepmc 2026 置信度 0.80
• Subject-independent gait activity recognition using DSAF: dual-stream IMU-EMG attention fusion with asymmetric temporal encoding and physiological complementarity weighting.
  Introduction Accurate gait recognition using wearable sensors is of significant clinical value for adaptive prosthetic control, lower-limb exoskeleton assistance, and objective rehabilitation assessment. However, subject-independent recognition remains a major…
  europepmc 2026 置信度 0.80
• AI-driven quadruped robots: from fundamental locomotion to advanced biomimetic behaviors.
  Quadruped robots have attracted increasing attention because they can traverse uneven terrain, support field deployment, and perform tasks that are difficult for wheeled or tracked platforms. Recent advances in artificial intelligence (AI) have further expande…
  europepmc 2026 置信度 0.80
• Assessment of the Adhesion to Decellularized Cardiac Patches of Stem Cells Through Single-Cell Force Spectroscopy (SCFS).
  Cardiovascular diseases (CVDs) remain a leading source of morbidity and mortality worldwide. Although heart transplantation is an established treatment for selected patients with end-stage heart failure, the difficulty in obtaining enough donors and the proble…
  europepmc 2026 置信度 0.80
• Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs
  The paper presents a neurorobotics cognitive model to explain the understanding and generalisation of nouns and verbs combinations when a vocal command consisting of a verb-noun sentence is provided to a humanoid robot. This generalisation process is done via …
  openalex Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata 等 2016 置信度 0.72 Computer scienceVerbNounEmbodied cognitionArtificial intelligence
• The Neurorobotic Platform: A simulation environment for brain-inspired robotics
  The aim of the neurorobotic platform of the Human Brain Project is to offer scientists and technology developers a soft - ware and hardware infrastructure that allows them to connect pre-validated brain models to detailed simulations of ro- bot bodies and envi…
  openalex Florian Roehrbein, Marc-Oliver Gewaltig, Cecilia Laschi, Gudrun Klinker 等 2016-06-21 置信度 0.72 Computer scienceRoboticsArtificial intelligenceRobotSoftware
• Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform
  Although we can measure muscle activity and analyze their activation patterns, we understand little about how individual muscles affect the joint torque generated. It is known that they are controlled by circuits in the spinal cord, a system much less well-und…
  openalex Benedikt Feldotto, Cristian Soare, Alois Knoll, Piyanee Sriya 等 2022-07-12 置信度 0.72 TorqueComputer scienceElectromyographyIsometric exerciseModular design
• Recent Synergies of Machine Learning and Neurorobotics: A Bibliometric and Visualized Analysis
  Over the past decade, neurorobotics-integrated machine learning has emerged as a new methodology to investigate and address related problems. The combined use of machine learning and neurorobotics allows us to solve problems and find explanatory models that wo…
  openalex Chien‐Liang Lin, Yuhui Zhu, Wang-Hui Cai, Yu-Sheng Su 2022-10-28 置信度 0.72 Computer scienceField (mathematics)Artificial intelligenceBibliographic couplingContext (archaeology)
• Neurorobotic Approach to Study Huntington Disease Based on a Mouse Neuromusculoskeletal Model
  Motor functions of the biological system has been forged through 4 billion years evolution. From a neurorobotics view, it is important not only to know how well it works, but also how it fails. To quantitatively describe early onset symptoms of a neurodegenera…
  openalex Satoshi Oota, Yuko Okamura-Oho, Ko Ayusawa, Yosuke Ikegami 等 2018-10-01 置信度 0.72 Huntington's diseaseNeuroscienceCognitionDiseaseMotor coordination
• An Overview of In Vitro Biological Neural Networks for Robot Intelligence
  In vitro biological neural networks (BNNs) interconnected with robots, so-called BNN-based neurorobotic systems, can interact with the external world, so that they can present some preliminary intelligent behaviors, including learning, memory, robot control, e…
  pubmed Zhe Chen, Qian Liang, Zihou Wei, Chen Xie 等 2023 置信度 0.82 RobotComputer scienceArtificial intelligenceArtificial neural networkRealization (probability)
• Action Selection and Operant Conditioning: A Neurorobotic Implementation
  Action selection (AS) is thought to represent the mechanism involved by natural agents when deciding what should be the next move or action. Is there a functional elementary core sustaining this cognitive process? Could we reproduce the mechanism with an artif…
  openalex André Cyr, Frédéric Thériault 2015-01-01 置信度 0.72 Computer scienceAction selectionArtificial intelligenceNoveltyProcess (computing)
• Neurorobotics as a means for assessing brain function after spinal injury
  Neurorobotics is suggested as a way to evaluate functional changes in brain neural circuits after spinal cord injury and repair. We suggest that the critical question when evaluating the effects of spinal lesion on brain circuits is not the extent to which the…
  openalex Karen A. Moxon, Guglielmo Foffani, K.A. Moxon, G. Foffani 2003-12-22 置信度 0.72 MicrostimulationNeuroscienceSpinal cord injuryPopulationTreadmill
• Neurorobotics and neuroprostheses: Towards a new anatomy
  Abstract The idea of this Special Issue arose from the technological advances in bionic, robotic, and neural rehabilitation systems and the common need to comprehend in detail how human anatomical structures can be replicated or controlled. Motor control theor…
  pubmed Filipe Oliveira Barroso, Diego Torricelli, Juan C. Moreno, Barroso FO 等 2023 置信度 0.82 Motor controlComputer scienceRoboticsArtificial intelligenceHuman–computer interaction
• Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
  The integration and cooperation of mechanoreceptors, neurons and synapses in somatosensory systems enable humans to efficiently sense and process tactile information. Inspired by biological somatosensory systems, we report an optoelectronic spiking afferent ne…
  openalex Hongwei Tan, Quanzheng Tao, Ishan Pande, Sayani Majumdar 等 2020-03-13 置信度 0.72 Computer scienceSomatosensory systemSensory systemBrailleArtificial intelligence
• Interactions between supervised and reinforcement learning processes in a neurorobotic model
  Abstract Several influential works propose that the acquisition of motor behavior involves different learning mechanisms in the brain, in particular supervised and reinforcement learning, that are respectively associated with cerebellar-thalamocortical and bas…
  openalex Adriano Capirchio, Chiara Ponte, Gianluca Baldassarre, Francesco Mannella 等 2022-10-03 置信度 0.72 Reinforcement learningReinforcementComputer scienceBasal gangliaMechanism (biology)
• The Analysis of Technical Characteristics of Badminton for Sports With Neurorobotics Under Machine Learning
  With the increase in public attention to sports and health, more people are keen to use badminton for fitness, but it is difficult to find professionals for guidance. In the new era, technology is constantly updated, and the artificial badminton sports intelli…
  openalex Fan Wu, Huan Chen 2023-01-01 置信度 0.72 Computer scienceArtificial intelligenceHidden Markov modelIdentification (biology)Convolutional neural network
• Autonomous Driving Simulator based on Neurorobotics Platform
  There are many artificial intelligence algorithms for autonomous driving, but directly installing these algorithms on vehicles is unrealistic and expensive. At the same time, many of these algorithms need an environment to train and optimize. Simulation is a v…
  openalex Wei Cao, Liguo Zhou, Yuhong Huang, Alois Knoll 等 2022-12-31 置信度 0.72 Computer scienceConstruct (python library)SimulationCore (optical fiber)Driving simulator