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• Neurodynamics in the Sensorimotor Loop: Representing Behavior Relevant External Situations
  In the context of the dynamical system approach to cognition and supposing that brains or brain-like systems controlling the behavior of autonomous systems are permanently driven by their sensor signals, the paper approaches the question of neurodynamics in th…
  crossref Frank Pasemann 2017-02-03T03:57:10Z 置信度 0.70
• Time models and cognitive processes: a review
  The sense of time is an essential capacity of humans, with a major role in many of the cognitive processes expressed in our daily lifes. So far, in cognitive science and robotics research, mental capacities have been investigated in a theoretical and modeling …
  crossref Michail Maniadakis, Panos Trahanias 2014-02-27T15:29:12Z 置信度 0.70
• Deep causal learning for robotic intelligence
  This invited Review discusses causal learning in the context of robotic intelligence. The Review introduces the psychological findings on causal learning in human cognition, as well as the traditional statistical solutions for causal discovery and causal infer…
  pubmed Yangming Li, Li Y 2023 置信度 0.82
• Learning multi-agent cooperation
  Advances in reinforcement learning (RL) have resulted in recent breakthroughs in the application of artificial intelligence (AI) across many different domains. An emerging landscape of development environments is making powerful RL techniques more accessible f…
  pubmed Corban Rivera, Edward Staley, Ashley Llorens, Rivera C 等 2022 置信度 0.82
• Bayesian Exploration for Intelligent Identification of Textures
  In order to endow robots with human-like abilities to characterize and identify objects, they must be provided with tactile sensors and intelligent algorithms to select, control, and interpret data from useful exploratory movements. Humans make informed decisi…
  openalex Jeremy A. Fishel, Gerald E. Loeb 2012-01-01 置信度 0.72 Computer scienceArtificial intelligenceIdentification (biology)Property (philosophy)Process (computing)
• Challenges for the understanding of the dynamics of social coordination
  The way people interact can be examined by looking at the way they move relative to each other. Seeking the principles behind those interactions have consequences potentially related to any type of interpersonal function, far beyond the so-called "motor" proce…
  crossref Julien Lagarde 2013-10-11T15:31:07Z 置信度 0.70
• EEG-powered cerebral transformer for athletic performance
  Introduction In recent years, with advancements in wearable devices and biosignal analysis technologies, sports performance analysis has become an increasingly popular research field, particularly due to the growing demand for real-time monitoring of athletes'…
  crossref Qikai Sun 2024-12-20T06:32:00Z 置信度 0.70
• 4D trajectory prediction for inbound flights
  Introduction To address the challenges of cumulative errors, insufficient modeling of complex spatiotemporal features, and limitations in computational efficiency and generalization ability in 4D trajectory prediction, this paper proposes a high-precision, rob…
  crossref Weizhen Tang, Jie Dai 2025-09-22T07:10:15Z 置信度 0.70
• S6.2 Neurorobotics: understanding the brain by building neuro-inspired robots
  openalex E. Guglielmelli, Eugenio Guglielmelli 2011-06-01 置信度 0.72 Cognitive sciencePsychologyComputer scienceNeuroscienceArtificial intelligence
• Neurorobotics: Driving the Paradigm Shift
  openalex Garnette R. Sutherland 2014-03-14 置信度 0.72 MedicineWorkstationNeurosurgeryProcess (computing)Robot
• Editorial: Human-in-the-loop cyber-physical systems
  pubmed Kok-Lim Alvin Yau, Yau KA 2022 置信度 0.82
• Reverse Engineering and Robotics as Tools for Analyzing Neural Circuits
  Understanding neuronal circuits that have evolved over millions of years to control adaptive behavior may provide us with alternative solutions to problems in robotics. Recently developed genetic tools allow us to study the connectivity and function of the ins…
  crossref Ioannis Pisokas 2021-01-26T07:10:40Z 置信度 0.70
• Active Fovea-Based Vision Through Computationally-Effective Model-Based Prediction
  What motivates an action in the absence of a definite reward? Taking the case of visuomotor control, we consider a minimal control problem that is how select the next saccade, in a sequence of discrete eye movements, when the final objective is to better inter…
  crossref Emmanuel Daucé 2018-12-14T04:59:01Z 置信度 0.70
• Brain-Machine Interfaces for Neurorobotics
  openalex Mario Ortiz, Kevin Nathan, José M. Azorín, José L. Contreras-Vidal 等 2021-01-01 置信度 0.72 ExoskeletonBrain–computer interfaceComputer scienceHuman–computer interactionPsychology
• Temporal Cognition: A Key Ingredient of Intelligent Systems
  Experiencing the flow of time is an important capacity of biological systems that is involved in many ways in the daily activities of humans and animals. However, in the field of robotics, the key role of time in cognition is not adequately considered in conte…
  crossref Michail Maniadakis, Panos Trahanias 2011-09-19T06:48:35Z 置信度 0.70
• Incremental learning of skill collections based on intrinsic motivation
  Life-long learning of reusable, versatile skills is a key prerequisite for embodied agents that act in a complex, dynamic environment and are faced with different tasks over their lifetime. We address the question of how an agent can learn useful skills effici…
  crossref Jan H. Metzen, Frank Kirchner 2013-07-26T12:46:01Z 置信度 0.70
• Sensorimotor Self-organization via Circular-Reactions
  Newborns demonstrate innate abilities in coordinating their sensory and motor systems through reflexes. One notable characteristic is circular reactions consisting of self-generated motor actions that lead to correlated sensory and motor activities. This paper…
  crossref Dongcheng He, Haluk Ogmen 2021-12-13T04:33:50Z 置信度 0.70
• Reading as active sensing: a computational model of gaze planning during word recognition
  WE OFFER A COMPUTATIONAL MODEL OF GAZE PLANNING DURING READING THAT CONSISTS OF TWO MAIN COMPONENTS: a lexical representation network, acquiring lexical representations from input texts (a subset of the Italian CHILDES database), and a gaze planner, designed t…
  crossref Marcello Ferro 2010-06-29T10:41:24Z 置信度 0.70
• Green Supply Chain Optimization Based on BP Neural Network
  With the emergence and development of the Back Propagation neural network (BPNN), its unique learning, generalization, and non-linear characteristics have been gradually excavated and fully applied in the field of prediction. To improve the economic and green …
  crossref Huan Wang 2022-06-01T05:42:57Z 置信度 0.70
• Wrist Proprioception: Amplitude or Position Coding?
  This work examines physiological mechanisms underlying the position sense of the wrist, namely, the codification of proprioceptive information related to pointing movements of the wrist toward kinesthetic targets. Twenty-four healthy subjects participated to a…
  crossref Francesca Marini, Valentina Squeri, Pietro Morasso, Lorenzo Masia 2016-10-19T07:03:20Z 置信度 0.70
• Autonomous driving controllers with neuromorphic spiking neural networks
  Autonomous driving is one of the hallmarks of artificial intelligence. Neuromorphic (brain-inspired) control is posed to significantly contribute to autonomous behavior by leveraging spiking neural networks-based energy-efficient computational frameworks. In t…
  pubmed Raz Halaly, Elishai Ezra Tsur, Halaly R, Ezra Tsur E 2023 置信度 0.82
• General Principles of Neurorobotic Models Employing Entrainment and Chaos Control
  Neurorobotic models are perfect candidates for proving the validity of embodied/dynamical approaches to cognition. In order to control bodies of arbitrary complexity in complex environments, it is necessary to coordinate vast numbers of sensory and motor compo…
  openalex Kole Harvey 2019-05-29 置信度 0.72 Computer scienceEmbodied cognitionEntrainment (biomusicology)Cover (algebra)Control (management)
• What is intrinsic motivation? A typology of computational approaches
  Intrinsic motivation, centrally involved in spontaneous exploration and curiosity, is a crucial concept in developmental psychology. It has been argued to be a crucial mechanism for open-ended cognitive development in humans, and as such has gathered a growing…
  crossref Pierre-Yves Oudeyer 2008-05-08T10:33:06Z 置信度 0.70
• Editorial: Multi-modal learning with large-scale models.
  The integration of multi-modal learning with large-scale models has become a transformative 9 force in the fields of artificial intelligence and neurorobotics. Human perception naturally relies on the 10 seamless fusion of various sensory inputs-visual, audito…
  europepmc 2026 置信度 0.80
• On the interactions between top-down anticipation and bottom-up regression
  This paper discusses the importance of anticipation and regression in modeling cognitive behavior. The meanings of these cognitive functions are explained by describing our proposed neural network model which has been implemented on a set of cognitive robotics…
  crossref Jun Tani 2008-05-08T14:33:06Z 置信度 0.70
• The Complexity of Remote Learning: A Neuroergonomical Discussion
  In this work, we aimed at affirming the inherent complexity of learning processes and the consequent benefits derived from a multi-layer cascade approach that considers heterogeneous disciplines and furnishing actionable best practices, for the designing of a …
  crossref Federico Cassioli, Michela Balconi 2022-04-13T04:44:39Z 置信度 0.70
• Editorial: Patient cooperative robotics in neurorehabilitation
  pubmed Imre Cikajlo, Fabrizio Patane, Sehoon Oh, Cikajlo I 等 2023 置信度 0.82
• Editorial: Emergent Behavior in Animal-Inspired Robotics
  EDITORIAL article Front. Neurorobot., 22 March 2022 https://doi.org/10.3389/fnbot.2022.861831
  crossref Alex Gomez-Marin, Yisi Zhang 2022-03-27T16:49:48Z 置信度 0.70
• Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals
  Both nociception and punishment signals have been used in robotics. However, the potential for using these negatively valenced types of reinforcement learning signals for robot learning has not been exploited in detail yet. Nociceptive signals are primarily us…
  crossref Nicolás Navarro-Guerrero, Robert J. Lowe, Stefan Wermter 2017-04-03T03:49:59Z 置信度 0.70
• Editorial: Neuromorphic engineering for robotics
  pubmed Zhenshan Bing, Chenguang Yang, Alois Knoll, Bing Z 等 2023 置信度 0.82
• Editorial: Safety and security of robotic systems: intelligent algorithms
  pubmed Chengwei Wu, Wu C 2023 置信度 0.82
• Correction: Enhancing 3D semantic scene completion with refinement module.
  [This corrects the article DOI: 10.3389/fnbot.2026.1768219.].
  europepmc 2026 置信度 0.80
• Interpretable side-aware kinematic-sEMG gait-state representations relevant to adaptive neurorobotic assistance after stroke: a public-dataset study.
  Background: Adaptive lower-limb neurorobotics requires gaitd-state representations that preserve locomotor structure without reducing post-stroke walking to a single asymmetry score or opaque latent embedding. Because post-stroke gait is multimodal and side de…
  europepmc Rocco Salvatore Calabrò, Andrea Calderone, Alessio Baricich, Andrea Santamato 等 2026 置信度 0.80 SilhouetteResamplingPattern recognition (psychology)Computer scienceArtificial intelligence
• Neurorobotics may make a smarter, but not happier, robot.
  In Luminous , two generations of a Korean family use neurorobotics to build sentient robot friends.
  europepmc Robin R. Murphy 2026 置信度 0.80 RobotComputer scienceArtificial intelligenceComputer visionMobile robot
• Confidence-driven adaptive time window for real-time driver fatigue detection in Level 2-3 autonomous vehicles: a multi-dataset validation study.
  Driver fatigue constitutes a critical safety hazard in Level 2-3 (L2-3) conditionally automated vehicles, where the paradoxical demand for sustained supervisory vigilance despite minimal active engagement accelerates cognitive underload and impairs timely take…
  europepmc 2026 置信度 0.80
• Editorial: Machine learning and applied neuroscience, volume II.
  The convergence of machine learning (ML) and applied neuroscience continues to accelerate, driven by the synergistic demands of intelligent systems and deepening insights into the human nervous system. Building upon the success of Machine Learning and Applied …
  europepmc Wellington Pinheiro dos Santos, Vincenzo Conti, Orazio Gambino, Ganesh R. Naik 2025 置信度 0.80 Computer scienceMachine learningArtificial intelligenceAdaptation (eye)Gait
• BFMGHC: a boosted fuzzy manifold granule hypersurface classifier with local topology preservation.
  Drawing inspiration from the brain's neurocognitive mechanisms of information chunking and topographic mapping, adaptive decision-making requires neural-grounded architectures that are interpretable and resilient to uncertainty. In this paper, we propose a nov…
  europepmc Wei Li, Weiyong Si, Zhisong Liu, Yuping Song 2026 置信度 0.80
• PSRNet: a phase-guided frequency-domain structure reconstruction network for RGB-T salient object detection.
  Introduction RGB-T salient object detection remains challenging because visible and thermal features often show structural shifts, weak thermal boundaries, and background interference. Methods This study proposes PSRNet, a phase-guided frequency-domain structu…
  europepmc 2026 置信度 0.80
• A bionic intelligent method combining evolutionary game theory with particle swarm optimization for UAV 3D path planning.
  Recently, UAV path planning in 3D complex environments has attracted increasing attention due to its significance in UAV motion control systems. However, the NP-hard nature of this problem poses significant challenges in generating a high-quality path. To addr…
  europepmc Lixin Jia, Peng Shi 2026 置信度 0.80
• Correction: Path planning of industrial robots based on the adaptive field cooperative sampling algorithm.
  [This corrects the article DOI: 10.3389/fnbot.2025.1574044.].
  europepmc 2025 置信度 0.80
• Multi-way radial consistency pre-training for event based optical flow.
  Optical flow estimation is a low-level module in computer vision, widely used in tasks such as visual odometry, autonomous driving, high dynamic range (HDR) imaging, and action recognition. Existing event-based optical flow estimation approaches suffer from sc…
  europepmc An Feng, Tao Wenyin 2026 置信度 0.80
• Distributed multi-robot LiDAR SLAM with ground-optimized preprocessing and slope-adaptive segmentation.
  Large-scale outdoor robot navigation increasingly demands SLAM systems capable of operating efficiently across diverse and challenging terrain. While single-robot approaches face inherent coverage and computational limitations, distributed multi-robot framewor…
  europepmc Yu Wang, Qiang Zou, Fei Wang 2026 置信度 0.80
• Meta-analysis of the effects of lower extremity exoskeleton robot on the improvement of walking ability and curative effect in SCI patients.
  Background Spinal cord injury (SCI) leads to significant motor and sensory impairments, reducing independence and quality of life. Conventional rehabilitation often lacks the intensity and task specificity required for optimal gait recovery. Powered lower-limb…
  europepmc 2026 置信度 0.80
• Learning robust and generalizable bimanual skills: a spatiotemporal causal hierarchical diffusion framework with attention anti-interference.
  Introduction Bimanual visuomotor imitation learning enables robots to acquire coordinated dual-arm manipulation skills from visual demonstrations, yet it faces significant challenges in temporal synchronization, spatial collision avoidance, long-horizon reason…
  europepmc 2026 置信度 0.80
• DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery.
  Background Detecting densely distributed small objects in unmanned aerial vehicle (UAV) aerial imagery poses a persistent challenge in computer vision. Vision Transformers (ViTs), empowered by global self-attention, perform strongly in object detection, but th…
  europepmc 2026 置信度 0.80
• ST-HONet: Spatio-Temporal Hierarchical Network for long-horizon bimanual visuomotor imitation.
  Introduction Learning robust and temporally consistent manipulation policies from long-horizon visual observations remains a fundamental challenge in imitation learning. While recent Transformer-based approaches reduce compounding errors via temporally extende…
  europepmc 2026 置信度 0.80
• Exoskeleton robotics: from rigid structures to bio-integrated systems.
  Exoskeleton robots have become a representative class of wearable robotic systems for rehabilitation, mobility assistance, occupational support, and human performance augmentation. As the field moves from laboratory prototypes toward clinical, industrial, and …
  europepmc Liancheng Zheng, Rizauddin Ramli, Wenfeng Zhang 2026 置信度 0.80
• A cognitive synergetic hierarchical framework for UAV swarm combat via speculative inference and role-decoupled reinforcement learning.
  In the high-stakes arena of aerial combat-a domain defined by extreme dynamics and unforgiving physical constraints-UAV swarms are currently squeezed between two extremes: the "tactical short-sightedness" of Multi-Agent Reinforcement Learning (MARL) and the "i…
  europepmc 2026 置信度 0.80
• Correction: RSA-TransUNet: a robust structure-adaptive TransUNet for enhanced road crack segmentation.
  [This corrects the article DOI: 10.3389/fnbot.2025.1633697.].
  europepmc Liling Hou, Fei Yu, Yaowen Hu, Yang Hu 等 2025 置信度 0.80
• Editorial: Biomechanical and cognitive pattern assessment in human-machine collaborative tasks for industrial robotics.
  In this research topic, the need for a safe and robust evaluation of the human-robot interaction has been tackled by Sunesson et al., who proposed a unified platform for a rigorous evaluation of the interaction between humans and machines when operating in clo…
  europepmc 2026 置信度 0.80
• Interpretable vision mamba for SAR images classification.
  Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer architecture still faces two limitations in SAR object classification:…
  europepmc Kaiming Zou, Ningbo He, Leijun Yao, Jialin Li 等 2026 置信度 0.80
• Harnessing Lessons from Gel-Based and Advanced Biomaterial Therapeutics to Enable Direct Cellular Reprogramming.
  Direct cellular reprogramming, the conversion of one somatic cell type into another, represents a remarkable advancement in regenerative medicine. Its potential to transform fibrotic tissue into functional parenchyma underscores its therapeutic promise. Howeve…
  europepmc 2026 置信度 0.80
• Deep dive into model-free reinforcement learning for underwater locomotion: theory and practice.
  Aquatic animals and underwater robots operate in a complex physical world and must coordinate their bodies to achieve behavioral objectives such as navigation and predation. With recent developments in deep reinforcement learning (RL), it is now possible for s…
  europepmc 2026 置信度 0.80
• Correction: Pre-training, personalization, and self-calibration: all a neural network-based myoelectric decoder needs.
  [This corrects the article DOI: 10.3389/fnbot.2025.1604453.].
  europepmc 2025 置信度 0.80
• Erratum: Latent space improved masked reconstruction model for human skeleton-based action recognition.
  [This corrects the article DOI: 10.3389/fnbot.2025.1482281.].
  europepmc 2025 置信度 0.80
• Open questions in elucidating neural mechanisms underlying sensory-guided motor control.
  Sensory feedback is needed to dynamically adjust motor behaviors as we interact with the world, and understanding sensory-guided motor control could be beneficial in guiding future therapeutic strategies for patients suffering from spinal cord injury or other …
  europepmc 2026 置信度 0.80
• Robot-mediated haptic feedback outperforms vision in violin duo coordination.
  Joint actions among humans rely on the integration of multiple sensory modalities, most notably auditory and visual cues, which support explicit communication between partners. However, haptic feedback provides a direct, implicit channel for sensorimotor commu…
  europepmc 2026 置信度 0.80
• A population approach to cortical GABAergic interneuron function.
  Inhibitory interneuron diversity is a central feature of cortical circuits. The IN-CODE consortium seeks to combine large-scale recordings of interneuron types with machine-learning tools to identify the role of their physiological features, connectivity motif…
  europepmc 2026 置信度 0.80
• Editorial: Physical AI and robotics - outputs from IS-PAIR 2025 and beyond.
  europepmc 2026 置信度 0.80
• Mycoelectronics: Bioprinted Living Fungal Bioelectronics for Artificial Sensation
  The intelligence of the human biological system is enabled by the highly distributed sensing receptors on soft skin that can distinguish various stimulations or environmental cues, thus establishing the fundamental logic of sensing and physiological regulation…
  europepmc 2025 置信度 0.80
• HarmoAtt-IK: an adaptive multimodal feature fusion network for real-time neural inverse kinematics.
  Introduction Recent advances in neural networks have introduced a new paradigm for robotic inverse kinematics. However, existing methods remain limited by insufficient feature extraction and suboptimal integration of multi-source information, preventing them f…
  europepmc Xukun Liu, Fengjuan Xie, Yu Liu, Jiaqiu Song 2026 置信度 0.80
• Erratum: Swimtrans Net: a multimodal robotic system for swimming action recognition driven via Swin-Transformer.
  [This corrects the article DOI: 10.3389/fnbot.2024.1452019.].
  europepmc 2024 置信度 0.80
• Editorial: Neural network models in autonomous robotics.
  The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and robotics. These models, mirroring the human brain's complexity and efficiency, have catalyzed innovations in machine learning, fostering…
  europepmc Long Cheng, Ying Mao, Tomas Ward 2025 置信度 0.80
• Editorial: Biomedical signals and artificial intelligence towards smart robots control strategies.
  Robotic systems have significantly evolved, integrating Artificial Intelligence (AI) techniques to enhance autonomy, adaptability, and robustness. Traditional control methods, such as Proportional-Integral-Derivative (PID) controllers, remain fundamental in ma…
  europepmc Hassene Seddik, Hassen Fourati, Chiraz Ben Jabeur, Nahla Khraief 2025 置信度 0.80
• A brain-inspired ISMO-PNN framework for neurally-grounded bearing fault diagnosis.
  Introduction In advanced robot systems, monitoring the health of key components such as bearings in the transmission system is crucial for achieving reliable autonomous operation. However, there are still challenges in accurately diagnosing bearing faults unde…
  europepmc Fan Zhang, Bangcheng Zhang 2026 置信度 0.80
• ST-HADP: Spatio-Temporal hierarchical attention diffusion policy for long-horizon generalizable bimanual visuomotor imitation.
  Introduction Dual-arm robotic manipulation presents fundamental challenges in coordinating spatially shared perception and temporally extended behaviors under limited demonstration settings. Existing diffusion-based visuomotor policies rely on flat temporal ho…
  europepmc 2026 置信度 0.80
• Enhancing 3D semantic scene completion with refinement module.
  We propose ESSC-RM, a plug-and-play Enhancing framework for Semantic Scene Completion with a Refinement Module, which can be seamlessly integrated into existing semantic scene completion (SSC) models. ESSC-RM operates in two phases: a baseline SSC network firs…
  europepmc Dunxing Zhang, Jiachen Lu, Han Yang, Lei Bao 等 2026 置信度 0.80
• Neural dynamics and synaptic plasticity in simple networks drive Lévy flight foraging and obstacle avoidance behaviors for bio-inspired autonomous flight.
  Animal foraging behavior is essential for survival. This complex behavior involves a combination of local search, seeking food nearby, and global search, exploring large areas for new food resources. These strategies can be adaptively alternated. During explor…
  europepmc 2025 置信度 0.80
• Robotics and artificial intelligence applications in neurorehabilitation: a bibliometric analysis (2003-2025).
  Background Robotic and artificial intelligence (AI)-assisted neurorehabilitation has emerged as a rapidly growing interdisciplinary field, integrating engineering innovations with clinical practice to enhance motor and cognitive recovery in neurological disord…
  europepmc 2026 置信度 0.80
• Delirium Identification from Nursing Reports Using Large Language Models.
  This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Using a manually labelled dataset from the University Hospital Freiburg, Germany, we tested Llama3 and Phi3 models…
  europepmc 2025 置信度 0.80
• Bio-Inspired Approaches-A Leverage for Robotics.
  The field of bio-inspired approaches (also known as biomimetics or biomimicry) is a design approach whereby a product or process is inspired by elements of nature, such as plants or animals [...].
  europepmc 2025 置信度 0.80
• Editorial: Towards a novel paradigm in brain-inspired computer vision.
  The quest to emulate the human brain’s extraordinary capacity for multimodal integration, adaptive learning, and robust real-world reasoning has reached a pivotal juncture in computer vision. Recent advances, synthesized from eight studies in this special issu…
  europepmc Xianmin Wang, Jing Li 2025 置信度 0.80
• EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception.
  Introduction Resource-constrained environmental perception requires autonomous robots and embodied intelligent systems to process visual signals efficiently while preserving image fidelity in complex real-world environments. However, converting high dynamic ra…
  europepmc 2026 置信度 0.80
• Active Inference for Learning and Development in Embodied Neuromorphic Agents.
  Taking inspiration from humans can help catalyse embodied AI solutions for important real-world applications. Current human-inspired tools include neuromorphic systems and the developmental approach to learning. However, this developmental neurorobotics approa…
  europepmc Sarah Hamburg, Alejandro Jiménez Rodríguez, Aung Soe Htet, Alessandro Di Nuovo 2024 置信度 0.80 Neuromorphic engineeringEmbodied cognitionInferenceComputer scienceArtificial intelligence
• Editorial: Brain-inspired autonomous driving.
  Autonomous driving is one of the hallmarks of arIficial intelligence. Neuromorphic, brain-inspired compuIng architectures, are revoluIonizing vehicular autonomy through biomimeIc approaches [1].They can dramaIcally impact the mulIdimensional landscape of auton…
  europepmc Elishai Ezra Tsur, Gianluca Di Flumeri, Hadar Cohen Duwek 2025 置信度 0.80
• Active physical human-exoskeleton interaction based on motion intention adaptive recognition and synchronous tracking.
  Active physical human-exoskeleton interaction has been widely studied. However, the challenges of human motion intention recognition and synchronous tracking have not been well-addressed. In this article, a motion intention recognition method based on biophysi…
  europepmc 2026 置信度 0.80
• Multimodal human action recognition and personalized sports health promotion: a deep learning framework integrating wearable sensor fusion.
  Introduction In real-world sports scenarios, Human Action Recognition (HAR) is often hindered by data complexity, limited dynamic adaptability, and fragmented integration of physiological and kinematic information. To address these challenges, this study propo…
  europepmc 2026 置信度 0.80
• How deep will you go? Hierarchy in predictive coding and transformers.
  Parr et al. (2025) present a timely and compelling contribution to the intersection of modern machine learning and cognitive neuroscience. Through a Bayesian lens, they reinterpret transformer arch...
  europepmc 2025 置信度 0.80
• AMSA-Net: attention-based multi-scale feature aggregation network for single image dehazing.
  Problem Deep learning technology promotes the development of single-image dehazing. However, many existing methods fail to fully consider the haze density and its spatial distribution, which limits the improvement of dehazing performance. Proposed solution To …
  europepmc 2026 置信度 0.80
• Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle.
  In reinforcement learning (RL), artificial agents are trained to maximize numerical rewards by performing tasks. Exploration is essential in RL because agents must discover information before exploiting it. Two rewards encouraging efficient exploration are the…
  europepmc 2024 置信度 0.80
• Universal slip detection of robotic hand with tactile sensing.
  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 capable of performing various grasp types, and…
  europepmc Chuangri Zhao, Yang Yu, Zeqi Ye, Ziyang Tian 等 2025 置信度 0.80
• Human-inspired sensorimotor controller for dynamic motion adaptation: a study in robotic arms.
  Robotic systems operating in dynamic environments often struggle to adapt their movements to external sensory signals without relying on explicit analytical models or conventional position-tracking control schemes. This limitation is especially problematic in …
  europepmc Maxime Marchal, Raphaël Furnémont, Tom Verstraten, Ghilés Mostafaoui 2026 置信度 0.80
• Innovative approach of nonlinear controllers design for prosthetic knee performance.
  Prosthetic knee joints are essential assistive technologies designed to replicate natural gait and improve mobility for individuals with lower-limb loss. This study presents a comprehensive nonlinear dynamic model of a two-degree-of-freedom prosthetic knee joi…
  europepmc Atif Rehman, Rimsha Ghias, Hammad Iqbal Sherazi, Nadia Sultan 2025 置信度 0.80
• Neuromorphic Polarization Vision Enabled by Organic Single-Crystal Photosynaptic Transistors.
  Abstract Polarization vision, a highly sophisticated visual capability in insects such as butterflies and bees, plays a pivotal role in enabling survival‐critical ecological behaviors, such as navigation, intraspecific communication, mating, and habitat select…
  europepmc Shuang Chen, Shuai Chen, Xinhe Chen, Jing Pan 等 2025 置信度 0.80 Neuromorphic engineeringMaterials sciencePolarization (electrochemistry)OptoelectronicsNanotechnology
• Look first, feel faster: Prior visual information accelerates haptic material exploration.
  Humans use distinct exploratory procedures (EPs) in active touch, which are typically specialized for materials with particular properties: for example, pressing for deformable objects such as cushions, or stroking to test a fabric's smoothness . Further, huma…
  europepmc 2025 置信度 0.80
• NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.
  Introduction Landslide disasters cause severe casualties and economic losses, demanding rapid and accurate detection from high-resolution remote sensing imagery. Traditional methods struggle with insufficient landslide samples and low detection accuracy. Metho…
  europepmc 2026 置信度 0.80
• Privacy-preserving ADP for secure tracking control of AVRs against unreliable communication.
  In this study, we developed an encrypted guaranteed-cost tracking control scheme for autonomous vehicles or robots (AVRs), by using the adaptive dynamic programming technique. To construct the tracking dynamics under unreliable communication, the AVR's motion …
  europepmc Kun Zhang, Kezhen Han, Zhijian Hu, Guoqiang Tan 2025 置信度 0.80
• Pre-training, personalization, and self-calibration: all a neural network-based myoelectric decoder needs.
  Myoelectric control systems translate electromyographic signals (EMG) from muscles into movement intentions, allowing control over various interfaces, such as prosthetics, wearable devices, and robotics. However, a major challenge lies in enhancing the system'…
  europepmc Chenfei Ma, Xinyu Jiang, Kianoush Nazarpour 2025 置信度 0.80
• Memsensing by surface ion migration within Debye length.
  Integration between electronics and biology is often facilitated by iontronics, where ion migration in aqueous media governs sensing and memory. However, the Debye screening effect limits electric fields to the Debye length, the distance over which mobile ions…
  europepmc Ruihan Guo, Qixin Feng, Ke Ma, Gi‐Hyeok Lee 等 2025-08-01 置信度 0.80 Debye lengthMaterials scienceIonSurface (topology)Chemical physics
• Analysis and experiment of a positioning and pointing mechanism based on the stick-slip driving principle.
  Introduction Traditional positioning and pointing mechanisms often face limitations in simultaneously achieving high speed and high resolution, and their travel range is typically constrained. To overcome these challenges, we propose a novel positioning and po…
  europepmc 2025 置信度 0.80
• Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification.
  Machine learning techniques, particularly deep convolutional neural networks (ConvNets), are increasingly being used to automate clinical EEG analysis, with the potential to reduce the clinical burden and improve patient care. However, further research is requ…
  europepmc 2024 置信度 0.80
• Multimodal sequence dynamics and convergence optimization in dual-stream LSTM networks for complex physiological state estimation.
  Introduction The integration of virtual simulation with intelligent modeling is crucial for advancing the scientization and personalization of volleyball physical training. This study aims to overcome the convergence instability and feature misalignment in mod…
  europepmc Xiaoxiao Cao 2026 置信度 0.80
• Toward accurate single image sand dust removal by utilizing uncertainty-aware neural network.
  Although deep learning methods have made significant strides in single image sand dust removal, the heterogeneous uncertainty induced by dusty environments poses a considerable challenge. In response, our research presents a novel framework known as the Hierar…
  europepmc 2025 置信度 0.80
• Effective and efficient self-supervised masked model based on mixed feature training.
  Under the influence of Masked Language Modeling (MLM), Masked Image Modeling (MIM) employs an attention mechanism to perform masked training on images. However, processing a single image requires numerous iterations and substantial computational resources to r…
  europepmc Qingjiu Kang, Feng Liu, Chunliu Cai 2025 置信度 0.80
• Design an anthropomorphic dexterous hand for expressive piano performance.
  Background Expressive piano performance poses extreme challenges for robotic manipulation, necessitating high-speed repetitive impacts, substantial force output, and coordinated multi-joint control under stringent dynamic constraints. However, existing robotic…
  europepmc 2026 置信度 0.80
• A robust and effective framework for 3D scene reconstruction and high-quality rendering in nasal endoscopy surgery.
  In nasal endoscopic surgery, the narrow nasal cavity restricts the surgical field of view and the manipulation of surgical instruments. Therefore, precise real-time intraoperative navigation, which can provide precise 3D information, plays a crucial role in av…
  europepmc 2025 置信度 0.80
• Editorial: The roles of self-organization and sensory adaptation for locomotion in animals and robots.
  pubmed Sándor B, Gros C, Manoonpong P 2024 置信度 0.82
• Editorial: Assistive and service robots for health and home applications (RH3 - Robot Helpers in Health and Home).
  In Choi et al. (2024), the main trends in assistive technologies for healthcare and home environments were analyzed. In that study, assistive technologies were classified into three major groups: physical aid or mobility devices, sensor and monitoring systems,…
  europepmc 2024 置信度 0.80
• Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments.
  Autonomous navigation of embodied agents in complex unstructured environments demands tightly coupled multimodal perception and real-time path planning capabilities, forming a core technical bottleneck in physical-world robot deployment. Heterogeneous sensor d…
  europepmc Hexuan Ren 2026 置信度 0.80
• IAP-TransUNet: integration of the attention mechanism and pyramid pooling for medical image segmentation.
  Introduction The combination of CNN and Transformer has attracted much attention for medical image segmentation due to its superior performance at present. However, the segmentation performance is affected by limitations such as the local receptive field and s…
  europepmc 2025 置信度 0.80