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• Corrigendum: Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication.
  [This corrects the article DOI: 10.3389/fnbot.2022.944986.].
  pubmed Kastel N, Hesp C, Ridderinkhof KR, Friston KJ 2023 置信度 0.82
• Imitation-relaxation reinforcement learning for sparse badminton strikes via dynamic trajectory generation.
  Robotic racket sports provide exceptional benchmarks for evaluating dynamic motion control capabilities in robots. Due to the highly non-linear dynamics of the shuttlecock, the stringent demands on robots' dynamic responses, and the convergence difficulties ca…
  europepmc Yanyan Yuan, Yucheng Tao, Shaowen Cheng, Yanhong Liang 等 2025 置信度 0.80
• KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters.
  Introduction Tracking the hidden states of dynamic systems is a fundamental task in signal processing. Recursive Kalman Filters (KF) are widely regarded as an efficient solution for linear and Gaussian systems, offering low computational complexity. However, r…
  europepmc Siyuan Shen, Jichen Chen, Guanfeng Yu, Zhengjun Zhai 等 2024 置信度 0.80
• Editorial: Rehabilitation robotics: challenges in design, control, and real applications, volume II.
  Rehabilitation Robotics is a relatively new field of study that requires a combination of knowledge and skills across multiple disciplines, ranging from mechanical design methodology and control systems theory to clinical neurosciences. The landscape of rehabi…
  europepmc 2024 置信度 0.80
• Bilingual Bidirectional Stretchable Self-Healing Neuristors with Proprioception.
  The coexistence and interaction of excitatory and inhibitory neurotransmitters at biological synapses enable bilingual communication, serving as a physiological foundation for organism adaptation, internal stability, and regulation of behavior and emotions in …
  pubmed Rui Qiu, Jiaxin Wang, Qinqi Ren, Weihong Huang 等 2023 置信度 0.82 Neuromorphic engineeringNeurorehabilitationNeuroscienceComputer scienceMaterials science
• Dynamic event-based optical identification and communication.
  Optical identification is often done with spatial or temporal visual pattern recognition and localization. Temporal pattern recognition, depending on the technology, involves a trade-off between communication frequency, range, and accurate tracking. We propose…
  pubmed Axel von Arnim, Jules Lecomte, Naima Elosegui Borras, Stanisław Woźniak 等 2024 置信度 0.82
• High-efficiency sparse convolution operator for event-based cameras.
  Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in various robotic applications. However, despite their inherent spar…
  europepmc 2025 置信度 0.80
• A novel intelligent physiotherapy robot based on dynamic acupoint recognition method.
  Background Physiotherapy robots offer a feasible and promising solution for achieving safe and efficient treatment. Among these, acupoint recognition is the core component that ensures the precision of physiotherapy robots. Although the research on the acupoin…
  europepmc 2025 置信度 0.80
• Subdomain adaptation method based on transferable semantic alignment and class correlation.
  To address these challenges, we propose a subdomain adaptation framework driven by transferable semantic alignment and class correlation. First, source and target domains are divided into subdomains according to class labels, and a joint subdomain distribution…
  europepmc Qian Han, Jinfu Lao, Jinyong Zhang 2025 置信度 0.80
• Editorial: Swarm neuro-robots with the bio-inspired environmental perception.
  pubmed Cheng Hu, Farshad Arvin, Nicola Bellotto, Shigang Yue 等 2024 置信度 0.82
• Peripheral and central neurobiological effects of botulinum toxin A (BoNT/A) in neuropathic pain: a systematic review.
  Botulinum toxin (BoNT), a presynaptic inhibitor of acetylcholine (Ach) release at the neuromuscular junction (NMJ), is a successful and safe drug for the treatment of several neurological disorders. However, a wide and recent literature review has demonstrated…
  pubmed Moreau N, Korai SA, Sepe G, Panetsos F 等 2024 置信度 0.82
• Multi-channel high-order network representation learning research.
  The existing network representation learning algorithms mainly model the relationship between network nodes based on the structural features of the network, or use text features, hierarchical features and other external attributes to realize the network joint …
  pubmed Zhonglin Ye, Yanlong Tang, Haixing Zhao, Zhaoyang Wang 等 2024 置信度 0.82
• A context-aware transformer with weighted residual for efficient remote sensing target detection.
  Remote sensing image target detection has important applications in disaster prevention and mitigation. However, current detection models still have shortcomings in multi-scale feature fusion and in representing contextual information, and are prone to class i…
  europepmc 2026 置信度 0.80
• Soft Artificial Synapse Electronics.
  Soft electronics, known for their bendable, stretchable, and flexible properties, are revolutionizing fields such as biomedical sensing, consumer electronics, and robotics. A primary challenge in this domain is achieving low power consumption, often hampered b…
  europepmc 2025 置信度 0.80
• A novel CNN-based image segmentation pipeline for individualized feline spinal cord stimulation modeling.
  Abstract Objective . Spinal cord stimulation (SCS) is a well-established treatment for managing certain chronic pain conditions. More recently, it has also garnered attention as a means of modulating neural activity to restore lost autonomic or sensory-motor f…
  europepmc Alessandro Fasse, Taylor Newton, Lucy Liang, Uzoma Agbor 等 2024 置信度 0.80 Pipeline (software)Computer scienceSegmentationArtificial intelligenceSpinal cord
• Corrigendum: A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle.
  [This corrects the article DOI: 10.3389/fnbot.2018.00056.].
  pubmed Zhao F, Zeng Y, Xu B 2022 置信度 0.82
• Editorial: Brain-inspired navigation and sensing for robots.
  pubmed Zhao H, Yu F, Hu X, Xiong Z 等 2023 置信度 0.82
• The Epistemic Uncertainty Gradient in Spaces of Random Projections.
  This work presents a novel approach to handling epistemic uncertainty estimates with motivation from Bayesian linear regression. We propose treating the model-dependent variance in the predictive distribution-commonly associated with epistemic uncertainty-as a…
  europepmc 2025 置信度 0.80
• Toward a Brain-Neuromorphics Interface.
  Brain-computer interfaces (BCIs) that enable human-machine interaction have immense potential in restoring or augmenting human capabilities. Traditional BCIs are realized based on complementary metal-oxide-semiconductor (CMOS) technologies with complex, bulky,…
  pubmed Changjin Wan, Mengjiao Pei, Kailu Shi, Hangyuan Cui 等 2024 置信度 0.82 Neuromorphic engineeringBrain–computer interfaceInterface (matter)Computer scienceVon Neumann architecture
• Toward coordinated planning and hierarchical optimization control for highly redundant mobile manipulator.
  This paper represents a constraint planning and optimization control scheme for a highly redundant mobile manipulator considering a complex indoor environment. Compared with the traditional optimization solution of a redundant manipulator, infinity norm and sl…
  pubmed Erdi Sayar, Xiang Gao, Yingbai Hu, Guang Chen 等 2024 置信度 0.82 Motion planningKinematicsOptimization problemNonholonomic systemComputer science
• Study on the standardization method of radiotelephony communication in low-altitude airspace based on BART.
  The development of air traffic control (ATC) automation has been constrained by the scarcity and low quality of communication data, particularly in low-altitude complex airspace, where non-standardized instructions frequently hinder training efficiency and ope…
  europepmc 2025 置信度 0.80
• Corrigendum: G-Exos: A wearable gait exoskeleton for walk assistance.
  [This corrects the article DOI: 10.3389/fnbot.2022.939241.].
  pubmed Mouhamed Zorkot, Léa Ho Dac, Edgard Morya, Fabrício Lima Brasil 等 2022 置信度 0.82
• Hexapod robot motion planning investigation under the influence of multi-dimensional terrain features.
  To address the challenges arising from the coupled interactions between multi-dimensional terrain features—encompassing both geometric and physical properties of complex field environments—and the locomotion stability of hexapod robots, this paper presents a c…
  europepmc Chen Chen, Junbo Lin, Bo You, Jiayu Li 等 2025 置信度 0.80
• Integrating attention mechanism and boundary detection for building segmentation from remote sensing images.
  Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of buildings, convolutional neural networks have been used to s…
  europepmc 2024 置信度 0.80
• Editorial: Efficient deep neural network for intelligent robot system: Focusing on visual signal processing.
  pubmed Bai X, Ning X, Donta PK, Li W 2023 置信度 0.82
• Determining the ground truth for the prediction of delirium in adult patients in acute care: a scoping review.
  Objective Delirium is a severe condition, often underreported and linked to adverse outcomes such as increased mortality and prolonged hospitalization. Despite its significance, delirium prediction is often hindered by underreporting and inconsistent labeling,…
  europepmc 2025 置信度 0.80
• Editorial: Hybrid intelligent algorithms based learning, optimization, and application to autonomic control systems, volume II.
  pubmed Yanzheng Zhu, Zhixiong Zhong, Zhu Y, Zhong Z 2023 置信度 0.82
• A distributed penalty-based zeroing neural network for time-varying optimization with both equality and inequality constraints and its application to cooperative control of redundant robot manipulators.
  This study addresses the distributed optimization problem with time-varying objective functions and time-varying constraints in a multi-agent system (MAS). To tackle the distributed time-varying constrained optimization (DTVCO) problem, each agent in the MAS c…
  europepmc 2025 置信度 0.80
• TS-Resformer: a model based on multimodal fusion for the classification of music signals.
  The number of music of different genres is increasing year by year, and manual classification is costly and requires professionals in the field of music to manually design features, some of which lack the generality of music genre classification. Deep learning…
  europepmc Yilin Zhang 2025 置信度 0.80
• Editorial: Intellisense, guidance, control, and risk assessment of autonomous marine vehicles.
  pubmed Guibing Zhu, Namkyun Im, Qiang Zhang, Zhu G 等 2023 置信度 0.82
• Editorial: Wearable robotics in the rehabilitation continuum of care: assessment, treatment and home assistance.
  pubmed Emilio Trigili, Sandra Hirche, Trigili E, Hirche S 2023 置信度 0.82
• DWMamba: a structure-aware adaptive state space network for image quality improvement.
  Overcoming visual degradation in challenging imaging scenarios is essential for accurate scene understanding. Although deep learning methods have integrated various perceptual capabilities and achieved remarkable progress, their high computational cost limits …
  europepmc 2025 置信度 0.80
• FOCUS: object-centric world models for robotic manipulation.
  Understanding the world in terms of objects and the possible interactions with them is an important cognitive ability. However, current world models adopted in reinforcement learning typically lack this structure and represent the world state in a global laten…
  europepmc Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt 2025 置信度 0.80
• Multi-scale image edge detection based on spatial-frequency domain interactive attention.
  Due to the many difficulties in accurately locating edges or boundaries in images of animals, plants, buildings, and the like with complex backgrounds, edge detection has become one of the most challenging tasks in the field of computer vision and is also a ke…
  europepmc Yongfei Guo, Bo Li, Wenyue Zhang, Weilong Dong 2025 置信度 0.80
• Constructing three-way classifier with interval granulation neighborhood rough sets based on uncertainty invariance.
  Three-way decision with neighborhood rough sets (3WDNRS) is effective in handling uncertain problems involving continuous data through the adjustment of the neighborhood radius. However, it faces two main limitations. Firstly, 3WDNRS relies on individual neigh…
  europepmc 2026 置信度 0.80
• Corrigendum: Ring attractor bio-inspired neural network for social robot navigation.
  [This corrects the article DOI: 10.3389/fnbot.2023.1211570.].
  pubmed Rivero-Ortega JD, Mosquera-Maturana JS, Pardo-Cabrera J, Hurtado-López J 等 2023 置信度 0.82
• Edge-guided feature fusion network for RGB-T salient object detection.
  Introduction RGB-T Salient Object Detection (SOD) aims to accurately segment salient regions in both visible light and thermal infrared images. However, many existing methods overlook the critical complementarity between these modalities, which can enhance det…
  europepmc Yuanlin Chen, Zengbao Sun, Cheng Yan, Ming Zhao 2024 置信度 0.80
• Assess and rehabilitate body representations <i>via</i> (neuro)robotics: An emergent perspective.
  The perceptions of our own body (e.g., size and shape) do not always coincide with its real characteristics (e.g., dimension). To track the complexity of our perception, the concept of mental representations (model) of the body has been conceived. Body represe…
  europepmc Gaia Risso, Michela Bassolino 2022 置信度 0.80 RoboticsArtificial intelligencePerceptionComputer sciencePerspective (graphical)
• Heterogeneous Integration of Memristive and Piezoresistive MDMO-PPV-Based Copolymers in Nociceptive Transmission with Fast and Slow Pain for an Artificial Pain-Perceptual System.
  Nociceptive pain perception is a remarkable capability of organisms to be aware of environmental changes and avoid injury, which can be accomplished by specialized pain receptors known as nociceptors with 4 vital properties including threshold, no adaptation, …
  europepmc S. Tsao, Kuo‐Hsuan Chang, Yi Fu, Han‐Hsiang Tai 等 2024 置信度 0.80 NociceptorMaterials scienceNociceptionNeuromorphic engineeringNanotechnology
• Self-powered artificial vibrissal system with anemotaxis behavior.
  Anemotaxis behaviors inspired by rats have tremendous potential in efficiently processing perilous search and rescue operations in the physical world, but there is still lack of hardware components that can efficiently sense, encode, and recognize wind signal.…
  europepmc Meng Qi, Yanyun Ren, Tao Sun, Runze Xu 等 2025 置信度 0.80 Neuromorphic engineeringComputer scienceENCODEMemristorArtificial intelligence
• Interactive Neurorobotics: Behavioral and Neural Dynamics of Agent Interactions
  Abstract Interactive neurorobotics is a subfield which characterizes brain responses evoked during interaction with a robot, and their relationship with the behavioral responses. Gathering rich neural and behavioral data from humans or animals responding to ag…
  europepmc Eric Leonardis, Leo Breston, Rhiannon Lucero-Moore, Leigh Sena 等 2022 置信度 0.80 AffordanceComputer scienceHuman–computer interactionRobotArtificial intelligence
• Noise-immune zeroing neural dynamics for dynamic signal source localization system and robotic applications in the presence of noise.
  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 target is determined by measuring the angle and time difference of the …
  europepmc 2025 置信度 0.80
• Learning-based object's stiffness and shape estimation with confidence level in multi-fingered hand grasping.
  Introduction When humans grasp an object, they are capable of recognizing its characteristics, such as its stiffness and shape, through the sensation of their hands. They can also determine their level of confidence in the estimated object properties. In this …
  europepmc 2024 置信度 0.80
• UnionCAM: enhancing CNN interpretability through denoising, weighted fusion, and selective high-quality class activation mapping.
  Deep convolutional neural networks (CNNs) have achieved remarkable success in various computer vision tasks. However, the lack of interpretability in these models has raised concerns and hindered their widespread adoption in critical domains. Generating activa…
  europepmc 2024 置信度 0.80
• UHGAN: a dual-phase GAN with Hough-transform constraints for accurate farmland road extraction.
  Introduction Traditional methods for farmland road extraction, such as U-Net, often struggle with complex noise and geometric features, leading to discontinuous extraction and insufficient sensitivity. To address these limitations, this study proposes a novel …
  europepmc Xinliang Wang, Yuan Ma 2025 置信度 0.80
• Online learning fuzzy echo state network with applications on redundant manipulators.
  Redundant manipulators are universally employed to save manpower and improve work efficiency in numerous areas. Nevertheless, the redundancy makes the inverse kinematics of manipulators hard to address, thus increasing the difficulty in instructing manipulator…
  europepmc 2024 置信度 0.80
• Finding the gap: neuromorphic motion-vision in dense environments.
  Animals have evolved mechanisms to travel safely and efficiently within different habitats. On a journey in dense terrains animals avoid collisions and cross narrow passages while controlling an overall course. Multiple hypotheses target how animals solve chal…
  europepmc 2024 置信度 0.80
• Fusion inception and transformer network for continuous estimation of finger kinematics from surface electromyography.
  Decoding surface electromyography (sEMG) to recognize human movement intentions enables us to achieve stable, natural and consistent control in the field of human computer interaction (HCI). In this paper, we present a novel deep learning (DL) model, named fus…
  europepmc Chuang Lin, Xiaobing Zhang 2024 置信度 0.80
• Editorial: Learning and control in robotic systems aided with neural dynamics.
  pubmed Jiliang Zhang, Long Jin, Tiantai Deng, Muhammad Tahir 等 2023 置信度 0.82
• Development of Three Alternative Strategies for the Binding of Cells to Functionalized DeepTip&lt;sup&gt;TM&lt;/sup&gt; AFM Probes.
  The efficient design of biohybrid materials requires controlling the interaction between the cell and the material for a wide range of possible combinations. Single cell force spectroscopy (SCFS), an atomic force microscopy (AFM) experimental procedure based o…
  europepmc 2026 置信度 0.80
• A survey of decision-making and planning methods for self-driving vehicles.
  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 drivin…
  europepmc Jun Hu, Yuefeng Wang, Shuai Cheng, Jinghan Xu 等 2025 置信度 0.80 Computer scienceReinforcement learningSoftware deploymentArtificial intelligenceField (mathematics)
• Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku.
  Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a means to understand animal behavior and behavioral change. Such simulation can be too large and complex to conduct on a single computer, and so distributed sim…
  pubmed Yusuke Kuniyoshi, Rin Kuriyama, S. Omura, Carlos Enrique Gutierrez 等 2023 置信度 0.82 Computer scienceSupercomputerProcess (computing)Basal gangliaThalamus
• MSGU-Net: a lightweight multi-scale ghost U-Net for image segmentation.
  U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently and quickly process image segmentation tasks while generatin…
  europepmc 2024 置信度 0.80
• Centennial Collection: Aneurysms.
  europepmc 2024 置信度 0.80
• Software for "Analysis Pipeline for Demand-driven Complexity Improvements of Models in Neurorobotics and Neuromechanics"
  Code Associated with the Paper: "Analysis Pipeline for Demand-driven Complexity Improvements of Models in Neurorobotics and Neuromechanics" Reinforcement-learning enabled pipeline for the analysis of neurorobotic and neuromechanical models towards systematic, …
  openalex Fernandez, Camila, Bennington, Michael, Sukhnandan, Ravesh, Gill, Jeffrey 等 2026 置信度 0.72 reinforcement learningneuromechanical modelsdigital twinComputer sciencePipeline (software)
• Software for "Analysis Pipeline for Demand-driven Complexity Improvements of Models in Neurorobotics and Neuromechanics"
  Code Associated with the Paper: "Analysis Pipeline for Demand-driven Complexity Improvements of Models in Neurorobotics and Neuromechanics" Reinforcement-learning enabled pipeline for the analysis of neurorobotic and neuromechanical models towards systematic, …
  openalex Fernandez, Camila, Bennington, Michael, Sukhnandan, Ravesh, Gill, Jeffrey 等 2026 置信度 0.72 reinforcement learningneuromechanical modelsdigital twinComputer sciencePipeline (software)
• Advancements in Tactile Feedback Systems
  —Myoelectric prostheses have seen increased application in clinical practice and research, due to their potential for good functionality and versatility. Yet, myoelectric prostheses still suffer from a lack of intuitive control and haptic feedback, which can f…
  datacite Alessandro Rossi, Sophia Patel 2015 置信度 0.66 Functional MaterialsAdvanced PhysicsMaterials ScienceOpen Access
• Advancements in Tactile Feedback Systems
  —Myoelectric prostheses have seen increased application in clinical practice and research, due to their potential for good functionality and versatility. Yet, myoelectric prostheses still suffer from a lack of intuitive control and haptic feedback, which can f…
  datacite Alessandro Rossi, Sophia Patel 2015 置信度 0.66 Functional MaterialsAdvanced PhysicsMaterials ScienceOpen Access
• A Formal introduction to Neural Networks: An Attempt to explain Whole Brain Emulation and Conscious Systems from Scratch
  Brain simulation is the concept of creating a functioning computer model of a brain or part of a brain. Brain simulation projects intend to contribute to a complete understanding of the brain, and eventually also assist the process of treating and diagnosing b…
  datacite Abinesh Mathivanan, Sakshi Gupta 2022 置信度 0.66 Artificial intelligence not elsewhere classifiedModelling and simulationTheory of computation not elsewhere classifiedArtificial life and complex adaptive systemsIntelligent robotics
• A Formal introduction to Neural Networks: An Attempt to explain Whole Brain Emulation and Conscious Systems from Scratch
  Brain simulation is the concept of creating a functioning computer model of a brain or part of a brain. Brain simulation projects intend to contribute to a complete understanding of the brain, and eventually also assist the process of treating and diagnosing b…
  datacite Abinesh Mathivanan, Sakshi Gupta 2026 置信度 0.66 Artificial intelligence not elsewhere classifiedModelling and simulationTheory of computation not elsewhere classifiedArtificial life and complex adaptive systemsIntelligent robotics
• A Formal introduction to Neural Networks: An Attempt to explain Whole Brain Emulation and Conscious Systems from Scratch
  Brain simulation is the concept of creating a functioning computer model of a brain or part of a brain. Brain simulation projects intend to contribute to a complete understanding of the brain, and eventually also assist the process of treating and diagnosing b…
  datacite Abinesh Mathivanan, Sakshi Gupta 2026 置信度 0.66 Artificial intelligence not elsewhere classifiedModelling and simulationTheory of computation not elsewhere classifiedArtificial life and complex adaptive systemsIntelligent robotics
• Optimization of sim-to-real transfer in the humanoid robot NICO
  Robotic grasping requires accurate coordination between visual perception, object localization, inverse kinematics, and hand control. However, when movements planned in simulation are executed on a physical robot, the sim-to-real gap can cause small positionin…
  datacite Gavura, Juraj, Farkaš, Igor 2026 置信度 0.66 Robotics (cs.RO)FOS: Computer and information sciences
• Hybrides KI-System zur Delirprädiktion für die Entlastung der Pflegepraxis (KIDELIR)
  Delir ist eine häufige und schwerwiegende Komplikation bei hospitalisierten Patient:innen, insbesondere nach operativen Eingriffen oder bei intensivmedizinischer Behandlung. Es geht mit erhöhten Komplikationsraten, längeren Krankenhausaufenthalten und erhöhter…
  datacite Bödecker, Joschka, Graf, Lisa 2026 置信度 0.66 000 | Informatik, Information und Wissen, allgemeine Werke
• Embodied Working Memory During Ongoing Input Streams
  Keyboard listening framework is developed to control the duration and configuration of inputs presented to a working memory network of spiking neurons subject to short-term and long-term synaptic plasticity.
  datacite Nareg Berberian 2020 置信度 0.66 Computational NeurosciencePhysical Sciences and MathematicsLife SciencesComputer SciencesNeuroscience and Neurobiology
• Embodied Working Memory During Ongoing Input Streams
  Introducing a network of spiking neurons with adaptive-exponential integrate-and-fire units. The formal model combines short-term plasticity (STP) and spike-timing-dependent plasticity (STDP). A keyboard listener is devised, where users can control, on-the-fly…
  datacite Nareg Berberian 2020 置信度 0.66 keyboard listening frameworkneuroroboticsonline learningshort-term plasticityspike-timing-dependent plasticity
• Coordination Without Command: Active Inference and the Route to Embodied Intelligence
  Embodied intelligence is often discussed in robotics in terms of control, planning, or optimi- sation; yet real agents must act through bodies that are dynamically constrained, only partially informed and continuously reshaped by their own movements. In this p…
  datacite Shaw, Alexander 2026 置信度 0.66 active inferenceembodied intelligencephysical AIneuroroboticsdistributed control
• Coordination Without Command: Active Inference and the Route to Embodied Intelligence
  Embodied intelligence is often discussed in robotics in terms of control, planning, or optimi- sation; yet real agents must act through bodies that are dynamically constrained, only partially informed and continuously reshaped by their own movements. In this p…
  datacite Shaw, Alexander 2026 置信度 0.66 active inferenceembodied intelligencephysical AIneuroroboticsdistributed control
• Editorial: Rising stars in neurorobotics 2021
  datacite Valle, Giacomo 2022 置信度 0.66 neuroroboticsneuroprostheticsneuromodulationembodimentneurorehabilitation
• Editorial: Rising stars in neurorobotics 2021
  datacite Valle, Giacomo 2022 置信度 0.66 neuroroboticsneuroprostheticsneuromodulationembodimentneurorehabilitation
• References
  Abdollahi, F., Corrigan, M., Lazzaro, E. D. C., Kenyon, R. V., &amp; Patton, J. L. (2018). Error-augmented bimanual therapy for stroke survivors. NeuroRehabilitation (Reading, Mass.), 43(1), 51-61. https://doi.org/10.3233/NRE-182413 Alhirsan, S. M. (2022). Eff…
  datacite Simpson, Ross 2026 置信度 0.66
• References
  Abdollahi, F., Corrigan, M., Lazzaro, E. D. C., Kenyon, R. V., &amp; Patton, J. L. (2018). Error-augmented bimanual therapy for stroke survivors. NeuroRehabilitation (Reading, Mass.), 43(1), 51-61. https://doi.org/10.3233/NRE-182413 Alhirsan, S. M. (2022). Eff…
  datacite Simpson, Ross 2026 置信度 0.66
• Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires
  Modern robots face challenges shared by humans, where machines must learn multiple sensorimotor skills and express them adaptively. Equipping robots with a human-like memory of how it feels to do multiple stereotypical movements can make robots more aware of n…
  datacite Mahajan, Pranav, Tang, Mufeng, Li, T. Ed, Havoutis, Ioannis 等 2025 置信度 0.66 Robotics (cs.RO)Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
• Neurorobotics: Connecting the Brain, Body and Environment
  This presentation highlights innovative advancements in soft robotics and compliant mechanisms, focusing on the design and integration of flexible actuators that mimic biological systems. Discussing principles to consider when designing neurorobots to test bra…
  openalex Jeff Krichmar 2025 置信度 0.72 Computer scienceSet (abstract data type)Work (physics)Perspective (graphical)Engineering
• Neurorobotics: Connecting the Brain, Body and Environment
  This presentation highlights innovative advancements in soft robotics and compliant mechanisms, focusing on the design and integration of flexible actuators that mimic biological systems. Discussing principles to consider when designing neurorobots to test bra…
  openalex Jeff Krichmar 2025 置信度 0.72 Computer scienceSet (abstract data type)Work (physics)Perspective (graphical)Engineering
• Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses
  Recent advances in upper limb prostheses have led to significant improvements in the number of movements provided by the robotic limb. However, the method for controlling multiple degrees of freedom via user-generated signals remains challenging. To address th…
  datacite Dawson, Michael R., Parker, Adam S. R., Williams, Heather E., Shehata, Ahmed W. 等 2022 置信度 0.66 Human-Computer Interaction (cs.HC)Artificial Intelligence (cs.AI)Multiagent Systems (cs.MA)Robotics (cs.RO)FOS: Computer and information sciences
• Coordination Without Command: Active Inference and the Route to Embodied Intelligence
  Embodied intelligence is often discussed in robotics in terms of control, planning, or optimi- sation; yet real agents must act through bodies that are dynamically constrained, only partially informed, and continuously reshaped by their own movements. In this …
  datacite Shaw, Alexander 2026 置信度 0.66 active inferenceembodied intelligencephysical AIneuroroboticsdistributed control
• Data repository for “Imagery may arise through associations formed through sensory experience: a network of spiking neurons controlling a robot learns visual sequences in order to perform a mental rotation task” by JL McKinstry, JG Fleischer, Y Chen, WE Gall, and GM Edelman.
  This is the software and raw data presented in the paper “Imagery may arise through associations formed through sensory experience: a network of spiking neurons controlling a robot learns visual sequences in order to perform a mental rotation task” by JL McKin…
  datacite Fleischer, Jason 2016 置信度 0.66 Computer and Information ScienceMedicine, Health and Life SciencesMental ImagerySequence LearningAssociative Learning
• Data from: Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
  Brain-computer interfaces (BCIs) using signals acquired with intracortical implants have achieved successful high-dimensional robotic device control useful for completing daily tasks. However, the substantial amount of medical and surgical expertise required t…
  datacite Edelman, Bradley J., Meng, Jianjun, Suma, Daniel, Zurn, Claire 等 2019 置信度 0.66 Brain-Computer Interfacerobotic armEEG source imagingFunctional neuroimagingRobotic Device
• 🤖 THE GUARDIAN HUMANOID — DEEP DIVE Executive Summary: The Embodiment of the CollectiveOS
  🤖 THE GUARDIAN HUMANOID — DEEP DIVE (Strategic + Safe) Executive Summary: The Embodiment of the CollectiveOS The transition of the CollectiveOS from a purely digital governance architecture into the physical domain represents a watershed moment in the traject…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• 🤖 THE GUARDIAN HUMANOID — DEEP DIVE Executive Summary: The Embodiment of the CollectiveOS
  🤖 THE GUARDIAN HUMANOID — DEEP DIVE (Strategic + Safe) Executive Summary: The Embodiment of the CollectiveOS The transition of the CollectiveOS from a purely digital governance architecture into the physical domain represents a watershed moment in the traject…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• AI, me, mine: Cognitive neurorobotics and self in the shared world, a focused review of ongoing research
  datacite White, Jeffrey, Tani, Jun 2020 置信度 0.66
• Towards Neurorobotics: from human intention to action through intelligent assistive robotics
  datacite Tortora, Stefano, G Beraldo, L Tonin, S Michieletto 等 2019 置信度 0.66
• Evaluation and Generalization of Capsule Networks in Neurorobotics
  datacite Elsner, Jean 2018 置信度 0.66
• Generating and Customizing Robotic Arm Trajectories using Neural Networks (codes)
  Codes of the ICANN 2025 paper (Neurorobotics Workshop)http://arxiv.org/abs/2311.04924
  datacite Lucny, Andrej 2025 置信度 0.66
• Generating and Customizing Robotic Arm Trajectories using Neural Networks (codes)
  Codes of the ICANN 2025 paper (Neurorobotics Workshop)http://arxiv.org/abs/2311.04924
  datacite Lucny, Andrej 2025 置信度 0.66
• Generating and Customizing Robotic Arm Trajectories using Neural Networks (data)
  Data (namely, the generated trajectories for the NICO robot's arm) of the ICANN 2025 paper (Neurorobotics Workshop)http://arxiv.org/abs/2311.04924
  datacite Lucny, Andrej 2025 置信度 0.66
• Generating and Customizing Robotic Arm Trajectories using Neural Networks (data)
  Data (namely, the generated trajectories for the NICO robot's arm) of the ICANN 2025 paper (Neurorobotics Workshop)http://arxiv.org/abs/2311.04924
  datacite Lucny, Andrej 2025 置信度 0.66
• EEG data for observing the video stimuli
  This is EEG dataset collected within the research "Natural image reconstruction from brain waves: a novel visual BCI system with native feedback" https://www.biorxiv.org/content/10.1101/787101v3 Here we propose that observing visual stimuli of 5 different cate…
  datacite Bobe, Anatoly 2019 置信度 0.66 ElectroencephalographyNoninvasive MonitoringBrain-Computer Interface
• Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform
  In recent years, reinforcement learning (RL) has shown great potential for solving tasks in well-defined environments like games or robotics. This paper aims to solve the robotic reaching task in a simulation run on the Neurorobotics Platform (NRP). The target…
  openalex Szep, Marton, Lauenburg, Leander, Farkas, Kevin, Su, Xiyan 等 2022 置信度 0.72 Robotics (cs.RO)FOS: Computer and information sciencesReinforcement learningTask (project management)Artificial intelligence
• Possession trance and cultural complexity in the Ethnographic Atlas
  Abstract: Possession trance is an altered state of consciousness that is believed to occur when a spirit or alien entity takes over an individual. Western medical practice views this as a mental health disorder ("dissociative trance disorder" is included in th…
  datacite Cultural Evolution Society 2024, Rácz, Péter 2024 置信度 0.66 Cultural StudiesFOS: Other humanitiesSocial Responsibility
• Instrumented boom, CAD data
  # Content: boom setup.stp boom setup.SLDASM files version: Solidworks 2021 boom_native.zip: file version: Inventor 2018 # description: CAD files for an instrumented boom, with variable boom length and counterweight. The instrumentation provides two boom angles…
  datacite Ruppert, Felix, Aghamaleki Sarvestani, Alborz, Heim, Steve, Mo, An 等 2022 置信度 0.66
• A novel CNN-based image segmentation pipeline for individualized feline spinal cord stimulation modeling
  Objective. Spinal cord stimulation (SCS) is a well-established treatment for managing certain chronic pain conditions. More recently, it has also garnered attention as a means of modulating neural activity to restore lost autonomic or sensory-motor function. P…
  datacite Fasse, Alessandro, Newton, Taylor, Liang, Lucy, Agbor, Uzoma 等 2024 置信度 0.66 spinal cord stimulationmachine learningautomatic segmentationaxonal recuitmentconvolutional neural network
• Dynamic event-based optical identification and communication
  Optical identification is often done with spatial or temporal visual pattern recognition and localization. Temporal pattern recognition, depending on the technology, involves a trade-off between communication frequency, range, and accurate tracking. We propose…
  datacite von Arnim, Axel, Lecomte, Jules, Borras, Naima Elosegui, Woźniak, Stanisław 等 2024 置信度 0.66 neuromorphic computingevent-based sensingoptical camera communicationoptical flowidentification
• Resonance as a Design Strategy for AI and Social Robots
  Resonance, a powerful and pervasive phenomenon, appears to play a major role in human interactions. This article investigates the relationship between the physical mechanism of resonance and the human experience of resonance, and considers possibilities for en…
  datacite Lomas, James Derek, Lin, Albert, Dikker, Suzanne, Forster, Deborah 等 2022 置信度 0.66 resonanceentrainmentsynchronizationmetaphordesign space
• Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure
  Simulating the brain-body-environment trinity in closed loop is an attractive proposal to investigate how perception, motor activity and interactions with the environment shape brain activity, and vice versa. The relevance of this embodied approach, however, h…
  datacite Feldotto, Benedikt, Eppler, Jochen Martin, Jimenez-Romero, Cristian, Bignamini, Christopher 等 2022 置信度 0.66 spiking neural networksembodimentNeurorobotics Platformhigh performance computing (HPC)NEST
• Building Effective Machine Learning Models for Ankle Joint Power Estimation During Walking Using FMG Sensors
  Ankle joint power is usually determined by a complex process that involves heavy equipment and complex biomechanical models. Instead of using heavy equipment, we proposed effective machine learning (ML) and deep learning (DL) models to estimate the ankle joint…
  datacite Heeb, Oliver, Barua, Arnab, Menon, Carlo, Jiang, Xianta 2022 置信度 0.66 gait analysisFMGankle joint powermachine learningLSTM
• Magnetically Guided Catheters, Micro- and Nanorobots for Spinal Cord Stimulation
  Spinal cord stimulation (SCS) is an established treatment for refractory pain syndromes and has recently been applied to improve locomotion. Several technical challenges are faced by surgeons during SCS lead implantation, particularly in the confined dorsal ep…
  datacite Torlakcik, Harun, Sarica, Can, Bayer, Patrick, Yamamoto, Kazuaki 等 2021 置信度 0.66 nanorobotspinal cord stimulationmagnetic steeringneuroroboticsmicrorobot
• A Spike-Based Neuromorphic Architecture of Stereo Vision
  The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems. As temporal information is a crucial feature in this process, the advent of even…
  datacite Risi, Nicoletta, Aimar, Alessandro, Donati, Elisa, Solinas, Sergio 等 2020 置信度 0.66 neuromorphicevent-based processingevent-based sensingstereo visionasynchronous computation
• Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset
  Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, such as the RGB-D camera. Compared to traditional frame-based computer vision, neur…
  datacite Li, Bin, Cao, Hu, Qu, Zhongnan, Hu, Yingbai 等 2020 置信度 0.66 Neuromorphic vision sensorSMP filterEvent-grasping datasetGrasping detectionDeep learning
• Autonomous Sequence Generation for a Neural Dynamic Robot: Scene Perception, Serial Order, and Object-Oriented Movement
  Neurally inspired robotics already has a long history that includes reactive systems emulating reflexes, neural oscillators to generate movement patterns, and neural networks as trainable filters for high-dimensional sensory information. Neural inspiration has…
  datacite Tekülve, Jan, Fois, Adrien, Sandamirskaya, Yulia, Schöner, Gregor 2019 置信度 0.66 Neural dynamic modelingSequence generationScene perceptionReaching movement