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• Flexible Electronics: Stretchable Electrodes and Their Future
  Abstract Flexible electronics, as an emerging and exciting research field, have brought great interest to the issue of how to make flexible electronic materials that offer both durability and high performance at strained states. With the advent of on‐body wear…
  openalex Siya Huang, Yuan Liu, Yüe Zhao, Zhifeng Ren 等 2018-11-28 置信度 0.72 Stretchable electronicsElectronicsSoft roboticsNanotechnologyWearable technology
• A Chemosensory Navigation Model Inspired by the On/Off Neural Processing Mechanism in Cockroaches
  Cockroaches orient towards and track plumes of airborne odours using simple yet sophisticated processing of odour concentration stimuli. Their orientation behaviour is driven not only by instantaneous sampling of odour concentration but by temporal dynamics of…
  openalex Alejandro Pequeño-Zurro, Iñaki Rañó, Danish Shaikh 2020-07-08 置信度 0.72 Biological systemComputer scienceOdorOlfactionSensory system
• The puzzle of the walk-to-run transition in humans
  openalex Michael Voigt, Ernst Albin Hansen 2021-04-03 置信度 0.72 Transition (genetics)BiologyGeneticsGene
• Forming a sparse representation for visual place recognition using a\n neurorobotic approach
  This paper introduces a novel unsupervised neural network model for visual\ninformation encoding which aims to address the problem of large-scale visual\nlocalization. Inspired by the structure of the visual cortex, the model (namely\nHSD) alternates layers of…
  openalex Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Olivier Romain 2021-09-30 置信度 0.72 PoolingNeural codingComputer scienceArtificial intelligencePattern recognition (psychology)
• Correction to: Integrating Spiking Neural Networks and Deep Learning Algorithms on the Neurorobotics Platform
  openalex Rachael Stentiford, Thomas C. Knowles, Benedikt Feldotto, Deniz Ergene 等 2022-01-01 置信度 0.72 Computer scienceArtificial neural networkArtificial intelligenceAlgorithm
• Predicting failure in the U.S. banking sector: An extreme gradient boosting approach
  openalex Pedro Carmona, Francisco Climent, Alexandre Momparler 2018-03-25 置信度 0.72 Bank failureReturn on equityRetained earningsFinancial systemBusiness
• Artificial General Intelligence: Concept, State of the Art, and Future Prospects
  Abstract In recent years broad community of researchers has emerged, focusing on the original ambitious goals of the AI field - the creation and study of software or hardware systems with general intelligence comparable to, and ultimately perhaps greater than,…
  openalex Ben Goertzel 2014-06-19 置信度 0.72 Rotation formalisms in three dimensionsArtificial general intelligenceComputer scienceTuringField (mathematics)
• Recent advancements in multimodal human–robot interaction
  Robotics have advanced significantly over the years, and human-robot interaction (HRI) is now playing an important role in delivering the best user experience, cutting down on laborious tasks, and raising public acceptance of robots. New HRI approaches are nec…
  pubmed Hang Su, Wen Qi, Jiahao Chen, Chenguang Yang 等 2023 置信度 0.82 Computer scienceHuman–computer interactionModalitiesRobotRobotics
• CKG: Improving ABSA with text augmentation using ChatGPT and knowledge-enhanced gated attention graph convolutional networks
  Aspect-level sentiment analysis (ABSA) is a pivotal task within the domain of neurorobotics, contributing to the comprehension of fine-grained textual emotions. Despite the extensive research undertaken on ABSA, the limited availability of training data remain…
  openalex Yapeng Gao, Lin Zhang, Yangshuyi Xu 2024-06-27 置信度 0.72 Computer scienceSentiment analysisGraphArtificial intelligenceNatural language processing
• Decoding Gait Speed Using Intracortical Signals in a Freely-Moving Non-Human Primate for the Control of Neurorobotics
  Locomotion is one of the most fundamental and crucial motor abilities in both humans and animals. Compared to other quadrupedal mammals, primates exhibit unique quadrupedal characteristics, such as diagonal gait and compliant walking. Significant progress has …
  openalex Long Chen, Yilin Zhang, Lifen Mo, Zheshan Guo 等 2024-12-10 置信度 0.72 Decoding methodsPrimateComputer scienceGaitArtificial intelligence
• Bioinspired multisensory neural network with crossmodal integration and recognition
  The integration and interaction of vision, touch, hearing, smell, and taste in the human multisensory neural network facilitate high-level cognitive functionalities, such as crossmodal integration, recognition, and imagination for accurate evaluation and compr…
  openalex Hongwei Tan, Yifan Zhou, Quanzheng Tao, Johanna Rosén 等 2021-02-18 置信度 0.72 CrossmodalMultisensory integrationComputer scienceSensory systemPerception
• Comparison of the CatBoost Classifier with other Machine Learning Methods
  Machine learning and data-driven techniques have become very famous and significant in several areas in recent times. In this paper, we discuss the performances of some machine learning methods with the case of the catBoost classifier algorithm on both loan ap…
  openalex Abdullahi Ibrahim, Lekan Raheem, M. Muhammed, O. Rabiat 等 2020-01-01 置信度 0.72 Computer scienceLoanClassifier (UML)Machine learningArtificial intelligence
• Process Account of Curiosity and Interest: A Reward-Learning Perspective
  Previous studies suggested roles for curiosity and interest in knowledge acquisition and exploration, but there has been a long-standing debate about how to define these concepts and whether they are related or different. In this paper, we address the definiti…
  openalex Kou Murayama, Lily FitzGibbon, Michiko Sakaki 2019-08-13 置信度 0.72 CuriosityPsychologyProcess (computing)Perspective (graphical)Educational psychology
• Elbow functional compensation using a lightweight magnetorheological clutch
  There are many applications for which a patient needs functional compensation due to motor disorders in daily activities. Classic research has focused on robotics solutions in terms of actuators or motors, but the point of this paper is to analyze new solution…
  openalex Alejandro Martin Clemente, Antonio Flores Caballero, Dolores Blanco Rojas, Dorin Copaci 等 2011-08-01 置信度 0.72 Software portabilityComputer scienceCompensation (psychology)ClutchWearable computer
• How Evolution May Work Through Curiosity‐Driven Developmental Process
  Infants' own activities create and actively select their learning experiences. Here we review recent models of embodied information seeking and curiosity-driven learning and show that these mechanisms have deep implications for development and evolution. We di…
  openalex Pierre‐Yves Oudeyer, Linda B. Smith 2016-03-11 置信度 0.72 Developmental roboticsAffordanceCuriosityEmbodied cognitionCognitive science
• 2P2-L15 Obstacle avoidance based on similarity evaluation of environment(Neurorobotics & Cognitive Robotics)
  Humans can rapidly adapt to unexpectedly changing environment and achieve various tasks. Specifically, the number of trials for adaptation is small when current situation is similar to the memorized ones, suggesting evaluation of similarity would be a key comp…
  openalex Yuki Yoshihara, Shingo Shimoda, Takashi Yamamoto, Iwao Maeda 等 2011-01-01 置信度 0.72 Similarity (geometry)Artificial intelligenceComputer scienceProperty (philosophy)Obstacle avoidance
• Physical reservoir computing—an introductory perspective
  Abstract Understanding the fundamental relationships between physics and its information-processing capability has been an active research topic for many years. Physical reservoir computing is a recently introduced framework that allows one to exploit the comp…
  openalex Kohei Nakajima 2020-04-27 置信度 0.72 ExploitPerspective (graphical)Computer scienceAdaptation (eye)Physical system
• GymSlug: Deep Reinforcement Learning Toward Bio-inspired Control Based on Aplysia californica Feeding
  openalex W. Sun, Mengdi Xu, Jeffrey P. Gill, Peter J. Thomas 等 2022-01-01 置信度 0.72 Reinforcement learningAplysiaRobustness (evolution)Computer scienceAdaptability
• Myoelectric Pattern Recognition Outperforms Direct Control for Transhumeral Amputees with Targeted Muscle Reinnervation: A Randomized Clinical Trial
  Recently commercialized powered prosthetic arm systems hold great potential in restoring function for people with upper-limb loss. However, effective use of such devices remains limited by conventional (direct) control methods, which rely on electromyographic …
  openalex Levi J. Hargrove, Laura A. Miller, Kristi L. Turner, Todd Kuiken 2017-10-17 置信度 0.72 ReinnervationPhysical medicine and rehabilitationComputer scienceMedicineElectromyography
• Improved Artificial Potential Field Method Applied for AUV Path Planning
  With the topics related to the intelligent AUV, control and navigation have become one of the key researching fields. This paper presents a concise and reliable path planning method for AUV based on the improved APF method. AUV can make the decision on obstacl…
  openalex Xiaojing Fan, Yinjing Guo, Hui Liu, Bowen Wei 等 2020-04-27 置信度 0.72 Maxima and minimaMotion planningEmulationPath (computing)Obstacle
• An artificial sensory neuron with visual-haptic fusion
  Human behaviors are extremely sophisticated, relying on the adaptive, plastic and event-driven network of sensory neurons. Such neuronal system analyzes multiple sensory cues efficiently to establish accurate depiction of the environment. Here, we develop a bi…
  openalex Changjin Wan, Pingqiang Cai, Xintong Guo, Ming Wang 等 2020-09-14 置信度 0.72 Sensory systemHaptic technologyComputer scienceFusionNeuroscience
• An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing
  Abstract The effective mimicry of neurons is key to the development of neuromorphic electronics. However, artificial neurons are not typically capable of operating in biological environments, which limits their ability to interface with biological components a…
  openalex Tanmoy Sarkar, Katharina Lieberth, Aristea Pavlou, Thomas Frank 等 2022-11-07 置信度 0.72 Neuromorphic engineeringNeuronComputer scienceBiological neuron modelBiological system
• 2A1-M10 Robot-Arm Control with Features Variations of Motor Imagery and Movement(Neurorobotics & Cognitive Robotics)
  Recently, a lot studies on of Brain-Machine Interfaces using EEG signals are being developed, and the applications to the rehabilitation support machine are expected. In this study, four different tasks corresponding to different brain excitation strengths are…
  openalex Masataka Yoshioka, Yuichiro Yoshikawa, Syota Shimazu, Tomohiro Nishikawa 等 2012-01-01 置信度 0.72 Motor imageryElectroencephalographyArtificial intelligenceRobotMovement (music)
• Neuromorphic force-control in an industrial task: validating energy and latency benefits
  As robots become smarter and more ubiquitous, optimizing the power consumption of intelligent compute becomes imperative towards ensuring the sustainability of technological advancements. Neuromorphic computing hardware makes use of biologically inspired neura…
  openalex Camilo Amaya, Evan Eames, Gintautas Palinauskas, Alexander Perzylo 等 2024-10-14 置信度 0.72 Neuromorphic engineeringComputer scienceLatency (audio)Task (project management)Task force
• NeuroRobotic Learning Methodology: Successful Experiences through Robotics at the Initial, Primary and Secondary Level
  openalex 2021-04-02 置信度 0.72 RoboticsArtificial intelligencePrimary (astronomy)Computer scienceRobot
• Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG
  Electromyography (EMG) is a measure of electrical activity generated by the contraction of muscles. Non-invasive surface EMG (sEMG)-based pattern recognition methods have shown the potential for upper limb prosthesis control. However, it is still insufficient …
  openalex Ali Raza Asif, Asim Waris, Syed Omer Gilani, Mohsin Jamil 等 2020-03-15 置信度 0.72 Computer scienceConvolutional neural networkElectromyographyArtificial intelligenceBiosignal
• Flexible and large area pressure sensors for human-neuroprostheses and human-neurorobotic interface assessment
  Promising results on flexible and large area pressure sensors for human-neuroprostheses and humanneurobotic interface assessment are presented. Array sensors of 4x4 and 8x8 based on polymer and plastic electronics have been fabricated and characterized with a …
  openalex J. Herrán, Iván Fernández, E. Ochoteco, Germán Cabañero 等 2011-04-22 置信度 0.72 Interface (matter)Offset (computer science)ElectronicsPressure sensorHigh resolution
• Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals
  By training the deep neural network model, the hidden features in Surface Electromyography(sEMG) signals can be extracted. The motion intention of the human can be predicted by analysis of sEMG. However, the models recently proposed by researchers often have a…
  openalex Lin Chen, Jianting Fu, Yuheng Wu, Haochen Li 等 2020-01-26 置信度 0.72 ElectromyographyConvolutional neural networkComputer scienceArtificial intelligenceGesture recognition
• Long-range navigation by path integration and decoding of grid cells in a neural network
  Neural modelers in the domain of robot navigation, e.g. within the fields of neurorobotics and neuromorphic engineering, can benefit from a wealth of inspiration from neuroscientific research in the hippocampal formation-cell types such as place cells and grid…
  openalex Vegard Edvardsen 2017-05-01 置信度 0.72 Path integrationComputer sciencePlace cellGridAttractor
• Raw data for "Preclinical upper- limb neurorobotic platform to assess, rehabilitate and develop therapies"
  Source data for all figures. Tabulated data underlying the data points in all plots of each individual figure.
  openalex Maria Pasquini, Nicholas D. James, Inssia Dewany 2022-02-11 置信度 0.72 Raw dataMedicinePhysical medicine and rehabilitationComputer scienceProgramming language
• Raw data for "Preclinical upper- limb neurorobotic platform to assess, rehabilitate and develop therapies"
  Source data for all figures. Tabulated data underlying the data points in all plots of each individual figure.
  openalex Maria Pasquini, Nicholas D. James, Inssia Dewany 2022-02-11 置信度 0.72 Raw dataPhysical medicine and rehabilitationMedicineComputer scienceProgramming language
• Bayesian Optimization of a Free-Electron Laser
  The Linac coherent light source x-ray free-electron laser is a complex scientific apparatus which changes configurations multiple times per day, necessitating fast tuning strategies to reduce setup time for successive experiments. To this end, we employ a Baye…
  openalex Joseph Duris, Dylan Kennedy, Adi Hanuka, J. Shtalenkova 等 2020-03-25 置信度 0.72 Bayesian optimizationComputer scienceBayesian probabilityGaussian processStatistical model
• [Neurorehabilitation: from a rigid past to a plastic future].
  Since ancient times, several cultures including those from China, Egypt, India and Rome gave rigid solutions to improve physical problems of affected people by several neurological disorders. These measures were applied, at that time, by individuals prepared f…
  openalex Jaime Bayona-Prieto, Edgardo A. Bayona, Fidias E. Leon‐Sarmiento 2012-07-03 置信度 0.72 NeurorehabilitationNeuromodulationPsychologyExcellenceRehabilitation
• 2P2-L16 Modeling of Somatic Reflex Network with Cutaneous Sensation(Neurorobotics & Cognitive Robotics)
  In this paper, we build a mathematical model of the somatic reflex network between cutaneous sensation and skeletal muscle activities based on the anatomical nerve structure including Dermatome. The model includes a skeleton, a musculo-tendon network, a cutane…
  openalex Yuki Ibuka, Akihiko Murai, Yoshihiko Nakamura 2011-01-01 置信度 0.72 DermatomeSensationReflexStimulationNeuroscience
• Modular Control of Limb Movements during Human Locomotion
  The idea that the CNS may control complex interactions by modular decomposition has received considerable attention. We explored this idea for human locomotion by examining limb kinematics. The coordination of limb segments during human locomotion has been sho…
  openalex Yuri P. Ivanenko, Germana Cappellini, Nadia Dominici, R. E. Poppele 等 2007-10-10 置信度 0.72 KinematicsOrientation (vector space)Physical medicine and rehabilitationTreadmillMotor control
• Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model
  Large-scale neuroscience literature call for effective methods to mine the knowledge from species perspective to link the brain and neuroscience communities, neurorobotics, computing devices, and AI research communities. Structured knowledge can motivate resea…
  openalex Hongyin Zhu, Yi Zeng, Dongsheng Wang, Cunqing Huangfu 2020-04-21 置信度 0.72 Computer scienceAnnotationTask (project management)Cognitive neuroscienceProcess (computing)
• Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements
  BACKGROUND: Myoelectric pattern recognition systems can decode movement intention to drive upper-limb prostheses. Despite recent advances in academic research, the commercial adoption of such systems remains low. This limitation is mainly due to the lack of cl…
  openalex Agamemnon Krasoulis, Iris Kyranou, Mustafa Suphi Erden, Kianoush Nazarpour 等 2017-07-11 置信度 0.72 ElectromyographyComputer scienceRobustness (evolution)Prosthetic handModal
• Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review
  For those individuals with upper-extremity amputation, a daily normal living activity is no longer possible or it requires additional effort and time. With the aim of restoring their sensory and motor functions, theoretical and technological investigations hav…
  openalex Usman Ghafoor, Sohee Kim, Keum‐Shik Hong 2017-10-31 置信度 0.72 NeuroprostheticsComputer scienceSensory systemBrain–computer interfaceInterface (matter)
• Thinking through other minds: A variational approach to cognition and culture
  The processes underwriting the acquisition of culture remain unclear. How are shared habits, norms, and expectations learned and maintained with precision and reliability across large-scale sociocultural ensembles? Is there a unifying account of the mechanisms…
  openalex Samuel P. L. Veissière, Axel Constant, Maxwell J. D. Ramstead, Karl Friston 等 2019-05-30 置信度 0.72 Cultural neuroscienceSociocultural evolutionAffordanceCognitive scienceEnculturation
• Walking Faster and Farther With a Soft Robotic Exosuit: Implications for Post-Stroke Gait Assistance and Rehabilitation
  OBJECTIVE: Soft robotic exosuits can improve the mechanics and energetics of walking after stroke. Building on this prior work, we evaluated the effects of the first prototype of a portable soft robotic exosuit. METHODS: Exosuit-induced changes in the overgrou…
  openalex Louis N. Awad, Pawel Kudzia, Dheepak Arumukhom Revi, Terry D. Ellis 等 2020-01-01 置信度 0.72 RehabilitationPhysical medicine and rehabilitationGaitPowered exoskeletonStroke (engine)
• 2A1-M08 Acquisition of the exploratory behavior for object discernment by a mobile robot(Neurorobotics & Cognitive Robotics)
  This paper presents a active perception model for a robot. Proposed model can learn automatically an exploratory behavior for object recognition. To confirm the effectiveness of the proposed model, we carried out the mobile robot simulation. In the simulation,…
  openalex Manabu Gouko, Yuichi Kobayashi, Chyon Hae Kim 2012-01-01 置信度 0.72 DiscernmentArtificial intelligenceMobile robotCognitive roboticsPerception
• Paving the way for a better management of pain in patients with spinal cord injury: An exploratory study on the use of Functional Electric Stimulation(FES)-cycling
  CONTEXT/OBJECTIVE: Chronic pain is common in patients with spinal cord injury (SCI), for whom it negatively affects quality of life, and its treatment requires an integrated approach. To this end, lower limb functional electrical stimulation (FES) cycling hold…
  openalex Rocco Salvatore Calabrò, Simona Portaro, Provvidenza Tomasello, Bruno Porcari 等 2021-08-09 置信度 0.72 Functional electrical stimulationMedicineSpinal cord injuryRehabilitationPhysical therapy
• Social Eye Gaze in Human-Robot Interaction: A Review
  This article reviews the state of the art in social eye gaze for human-robot interaction (HRI). It establishes three categories of gaze research in HRI, defined by differences in goals and methods: a human-centered approach, which focuses on people's responses…
  openalex Henny Admoni, Brian Scassellati 2017-03-01 置信度 0.72 GazeHuman–robot interactionHuman–computer interactionRobotSet (abstract data type)
• EEG theta and Mu oscillations during perception of human and robot actions
  The perception of others' actions supports important skills such as communication, intention understanding, and empathy. Are mechanisms of action processing in the human brain specifically tuned to process biological agents? Humanoid robots can perform recogni…
  openalex Burcu A. Ürgen, Markus Plank, Hiroshi Ishiguro, Howard Poizner 等 2013-01-01 置信度 0.72 Biological motionMirror neuronElectroencephalographyPerceptionComputer science
• The Human Brain Project—Synergy between neuroscience, computing, informatics, and brain-inspired technologies
  The Human Brain Project (HBP) is a European flagship project with a 10-year horizon aiming to understand the human brain and to translate neuroscience knowledge into medicine and technology. To achieve such aims, the HBP explores the multilevel complexity of t…
  openalex Katrin Amunts, Alois Knoll, Thomas Lippert, Cyriel M. A. Pennartz 等 2019-07-01 置信度 0.72 Brain researchInformaticsData scienceNeuroscienceBiology
• Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
  In this paper, a hybrid electroencephalography-functional near infrared spectroscopy (EEG-fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain-computer interface is presented. A total of eight commands are decoded by fNIR…
  openalex Muhammad Jawad Khan, Keum‐Shik Hong 2017-02-17 置信度 0.72 QuadcopterBrain–computer interfaceComputer scienceElectroencephalographyDecoding methods
• 3P2-Q03 Selection of Proactive and Reactive Behavior by Distinct Neural Mechanisms(Neurorobotics & Cognitive Robotics)
  In this paper, we discuss possible neural mechanisms that enable adaptive behavior. In order to investigate the mechanisms, we developed a novel hierarchical neural network model that can learn to predict not only the next sensory input but also its predictabi…
  openalex Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata 等 2014-01-01 置信度 0.72 PredictabilityArtificial intelligenceArtificial neural networkComputer scienceSelection (genetic algorithm)
• 2P2-L09 Motion simulator for lower extremities in high magnetic field(Neurorobotics & Cognitive Robotics)
  This paper proposes a basic mechanism of a motion simulator for lower extremities of human in high magnetic field. The motion simulator would provide a wearer with physical supports or physical constrains during walking in a functional magnetic resonance imagi…
  openalex Takahiro Ikeda, Akira Matsushita, Yasuhisa Hasegawa, Yoshiyuki Sankai 2011-01-01 置信度 0.72 SimulationFunctional magnetic resonance imagingComputer scienceMagnetic resonance imagingRobotics
• 2P2-L14 Bottom-Up Visual Attention by Minimizing Binocular Disparity(Neurorobotics & Cognitive Robotics)
  Visual attention of a robot has been realized by determining a fixation point in an image and focusing on the small area around the point. On the other hand, we are proposing an alternative visual attention method in which a robot does not determine a point of…
  openalex Kazutoshi Tanaka, Syuhei IKEMOTO, Koh Hosoda 2011-01-01 置信度 0.72 GazeArtificial intelligenceComputer visionComputer scienceFixation (population genetics)
• A case report on intensive, robot-assisted rehabilitation program for brainstem radionecrosis
  INTRODUCTION: Radiotherapy is a valid treatment option for nasopharyngeal carcinoma. However, complications can occur following irradiation of the closest anatomical structures, including brainstem radionecrosis (BRN). The rehabilitation is poorly described in…
  openalex Francesco Tartamella, Antonino Chillura, Maria Francesca Pisano, Adele Cacioppo 等 2020-03-01 置信度 0.72 MedicineNeurorehabilitationRehabilitationDysphagiaSpasticity
• Introducing digital twins to agriculture
  Digital twins are being adopted by increasingly more industries, transforming them and bringing new opportunities. Digital twins provide previously unheard levels of control over physical entities and help to manage complex systems by integrating an array of t…
  openalex Christos Pylianidis, Sjoukje Osinga, Ioannis N. Athanasiadis 2021-03-18 置信度 0.72 AgricultureService (business)Computer scienceWork (physics)Twin cities
• Occupational exoskeletons: A roadmap toward large-scale adoption. Methodology and challenges of bringing exoskeletons to workplaces
  The large-scale adoption of occupational exoskeletons (OEs) will only happen if clear evidence of effectiveness of the devices is available. Performing product-specific field validation studies would allow the stakeholders and decision-makers (e.g., employers,…
  openalex Simona Crea, Philipp Beckerle, M.P. de Looze, Kevin De Pauw 等 2021-01-01 置信度 0.72 Generalizability theoryStakeholderScale (ratio)Field (mathematics)Exoskeleton
• Toward Dexterous Manipulation With Augmented Adaptive Synergies: The Pisa/IIT SoftHand 2
  In recent years, a clear trend toward simplification emerged in the development of robotic hands. The use of soft robotic approaches has been a useful tool in this prospective, enabling complexity reduction by embodying part of grasping intelligence in the han…
  openalex Cosimo Della Santina, Cristina Piazza, Giorgio Grioli, Manuel G. Catalano 等 2018-06-06 置信度 0.72 ActuatorMechanism (biology)Robustness (evolution)BiomimeticsVariety (cybernetics)
• Virtual Partner Interaction (VPI): Exploring Novel Behaviors via Coordination Dynamics
  Inspired by the dynamic clamp of cellular neuroscience, this paper introduces VPI -- Virtual Partner Interaction -- a coupled dynamical system for studying real time interaction between a human and a machine. In this proof of concept study, human subjects coor…
  openalex J. A. Scott Kelso, Gonzalo C. de Guzman, Colin Reveley, Emmanuelle Tognoli 2009-06-02 置信度 0.72 Computer scienceAvatarHuman–computer interactionIdentification (biology)Artificial intelligence
• Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex
  Despite increasing evidence suggesting the cerebellum works in concert with the cortex and basal ganglia, the nature of the reciprocal interactions between these three brain regions remains unclear. This consensus paper gathers diverse recent views on a variet…
  openalex Daniele Caligiore, Giovanni Pezzulo, Gianluca Baldassarre, Andreea C. Bostan 等 2016-02-13 置信度 0.72 Basal gangliaNeuroscienceCerebellumCortex (anatomy)Indirect pathway of movement
• 2P2-M04 Construction of statistical network to connect motion symbols and object symbols to language(Neurorobotics & Cognitive Robotics)
  We propose the approach to integration of natural language processing and symbolization of human's motion patterns and object patterns in the line of sight in order to allow for humanoid robot's acquisition of language. This framework consists of two models : …
  openalex Kota TOMARU, Seiya Hamano, Wataru Takano, Yoshihiko Nakamura 2011-01-01 置信度 0.72 MorphemeObject (grammar)Motion (physics)Computer scienceArtificial intelligence
• Robotic tactile perception of object properties: A review
  openalex Shan Luo, João Bimbo, Ravinder Dahiya, Hongbin Liu 2017-11-14 置信度 0.72 Tactile perceptionTactile sensorPerceptionObject (grammar)Human–computer interaction
• 3P2-Q05 Mobile robot control with BMI based on the environmental recognition and SSVEP(Neurorobotics & Cognitive Robotics)
  This research aims to develop a BMI for controlling a mobile robot in road-like environments. The robot makes a local map of the surrounding scene using a laser range finder and recognizes the intersection type, which is sent to the BMI. The BMI flashes LEDs c…
  openalex T. Hara, Kazuki Azuma, Takahiro Shinkai, Jun Miura 等 2014-01-01 置信度 0.72 RobotMobile robotArtificial intelligenceComputer visionComputer science
• Cerebellar control of saccadic adaptation using a spiking neural network model integrated into the Neurorobotics platform
  The cerebellum is essential for motor learning and adaptation since it can change the relationship between sensory input and motor output. Cerebellar activity contributes to the motor execution with the aim of optimizing the resulting performance. This optimiz…
  openalex Junya Inoue, Alberto Antonietti, Alessandra Pedrocchi 2021-05-04 置信度 0.72 Saccadic maskingComputer scienceiCubSpiking neural networkMotor learning
• A Modified LGMD Based Neural Network for Automatic Collision Detection
  openalex Ana Carolina da Silva, Jorge Silva, Cristina P. Santos 2014-01-01 置信度 0.72 Computer scienceArtificial intelligenceCollision avoidanceTask (project management)Artificial neural network
• A Human Activity Recognition System Using Skeleton Data from RGBD Sensors
  The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms can help to monitor aged people in home environments. Different types of sensors can be used to address this t…
  openalex Enea Cippitelli, Samuele Gasparrini, Ennio Gambi, Susanna Spinsante 2016-01-01 置信度 0.72 Activity recognitionComputer scienceTask (project management)Key (lock)Artificial intelligence
• Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks
  The COVID-19 pandemic has precipitated an unprecedented surge in the proliferation of online E-learning platforms, designed to cater to a wide array of subjects across all age groups. However, a paucity of these platforms adopts a learner-centric approach or v…
  openalex Dharmendra Pathak, Ramgopal Kashyap 2023-08-31 置信度 0.72 Term (time)Convolutional neural networkLong short term memoryComputer scienceArtificial intelligence
• 1P1-B02 Analysis of the Relationship between Load and EEG by Wavelet Transform(Neurorobotics & Cognitive Robotics)
  Recently, a variety of researches and developments on BMIs attract many researchers' attentions. However, most of these BMI researches intend to assist the disabled. The purpose of this study is the development of real-time power assist technology using BMI th…
  openalex Kazuhiro Uemoto, Masataka Yoshioka, Yuichiro Yoshikawa, Chi Zhu 2013-01-01 置信度 0.72 ElectroencephalographyVariety (cybernetics)WaveletWavelet transformRobotics
• A chemically mediated artificial neuron
  openalex Ting Wang, Ming Wang, Jianwu Wang, Le Yang 等 2022-08-08 置信度 0.72 DopamineNeuroscienceNeuronInterneuronNeurotransmitter
• 2A1-M09 Estimation of human's power using EEG for Brain-Machine Interface(Neurorobotics & Cognitive Robotics)
  Recently, a lot of non-invasive BMIs (Brain-Machine Interfaces) using EEG (electroencephalography) signals are being developed to control machine. In this paper, we try to estimate human's power from EEGs by PCA (Principal Component Analysis). The concept of t…
  openalex Yuichiro Yoshikawa, Chi Zhu, Shota Shimazu, Masataka Yoshioka 等 2012-01-01 置信度 0.72 ElectroencephalographyPrincipal component analysisArtificial intelligenceComputer scienceBrain–computer interface
• Learning citywide patterns of life from trajectory monitoring
  The recent proliferation of real-world human mobility datasets has catalyzed geospatial and transportation research in trajectory prediction, demand forecasting, travel time estimation, and anomaly detection. However, these datasets also enable, more broadly, …
  openalex Mark Tenzer, Zeeshan Rasheed, Khurram Shafique 2022-11-01 置信度 0.72 Anomaly detectionGeospatial analysisComputer scienceCluster analysisGlobal Positioning System
• Neurorobotic approaches about human motor development = 사람의 운동 발달 과정에 대한 뉴로로보틱적 접근
  openalex Jun Cheol Park, 박준철 2017-01-01 置信度 0.72 Computer science
• Radical Predictive Processing
  Abstract Recent work in computational and cognitive neuroscience depicts the brain as an ever‐active prediction machine: an inner engine continuously striving to anticipate the incoming sensory barrage. I briefly introduce this class of models before contrasti…
  openalex Andy Clark 2015-09-01 置信度 0.72 EnactivismCognitive scienceContext (archaeology)Action (physics)Embodied cognition
• A Differentiable Physics Engine for Deep Learning in Robotics
  An important field in robotics is the optimization of controllers. Currently, robots are often treated as a black box in this optimization process, which is the reason why derivative-free optimization methods such as evolutionary algorithms or reinforcement le…
  openalex Jonas Degrave, Michiel Hermans, Joni Dambre, Francis wyffels 2019-03-07 置信度 0.72 Artificial intelligenceRoboticsPhysics engineComputer scienceDeep learning
• Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
  Abstract Crop Recommendation Systems are invaluable tools for farmers, assisting them in making informed decisions about crop selection to optimize yields. These systems leverage a wealth of data, including soil characteristics, historical crop performance, an…
  openalex Mahmoud Y. Shams, Samah A. Gamel, Fatma M. Talaat 2024-01-11 置信度 0.72 InterpretabilityComputer scienceMachine learningArtificial intelligenceNaive Bayes classifier
• 3P2-P04 Investigation of the Relationship between Motor Intensity and EEG by Mirror Neuron System(Neurorobotics & Cognitive Robotics)
  Recently, Brain-Machine Interfaces attract many researchers' attentions. Most of these BMI researches intend to assist the disabled person. The purpose of this study is the development of a novel BMI to more smoothly support the disabled person's life. In this…
  openalex Kazuhiro Uemoto, Masataka Yoshioka, Yuichiro Yoshikawa, Chi Zhu 2014-01-01 置信度 0.72 Mirror neuronElectroencephalographyMotor imageryMotion (physics)Cognition
• Diseño de una órtesis motorizada de tobillo para rehabilitación de ictus con un enfoque TOP-DOWN
  Este estudio se ha realizado con financiacion de la Comision Europea, dentro del Septimo Programa Marco, bajo contrato FP7-ICT-2009-247935: BETTER BNCI-driven Robotic Physical Therapies in Stroke Rehabilitation of Gait Disorders. Tambien con subvencion del Mi…
  openalex Guillermo Asín-Prieto, Iván Collantes Vallar, Juan C. Moreno, José Luis Pons Rovira 2012-09-05 置信度 0.72 RehabilitationGaitPhysical medicine and rehabilitationHumanitiesMedicine
• TraHGR: Transformer for Hand Gesture Recognition via Electromyography
  Deep learning-based Hand Gesture Recognition (HGR) via surface Electromyogram (sEMG) signals have recently shown considerable potential for development of advanced myoelectric-controlled prosthesis. Although deep learning techniques can improve HGR accuracy co…
  openalex Soheil Zabihi, Elahe Rahimian, Amir Asif, Arash Mohammadi 2023-01-01 置信度 0.72 Computer scienceTransformerArtificial intelligenceDeep learningArchitecture
• The poverty of embodied cognition
  openalex Stephen D. Goldinger, Megan H. Papesh, Anthony S. Barnhart, Whitney A. Hansen 等 2016-06-09 置信度 0.72 Embodied cognitionCognitionPsychologyMotor cognitionCognitive robotics
• 1P1-B03 Adaptive Behavior Generation using Attractor Dynamics of Recurrent Neural Network(Neurorobotics & Cognitive Robotics)
  This paper describes a novel dynamical neural network model for learning and generating object manipulation behavior. The network learns to predict not only the mean of the next input state, but also its timedependent variance. The training method is based on …
  openalex Hiroaki Arie, Kuniaki Noda, Yuki Suga, Jun Tani 等 2013-01-01 置信度 0.72 Artificial intelligenceVariance (accounting)Computer scienceGradient descentObject (grammar)
• A wearable robotic movement device [e100 NeuroRobotic; Myomo] has received approval from the US FDA.
  openalex &NA; 2007-07-01 置信度 0.72 MedicineMovement (music)Physical medicine and rehabilitationWearable computerPharmacy
• Towards Neurorobotic Interface for Finger Joint Angle Estimation: A Multi-Stage CNN-LSTM Network with Transfer Learning
  To maximize the autonomy of individuals with upper limb amputations in daily activities, leveraging forearm muscle information to infer movement intent is a promising research direction. While current prosthetic hand technologies can utilize forearm muscle dat…
  openalex Y. Chen, Xinyu Zhang, Yongjie Li, Hongsheng He 等 2025-02-11 置信度 0.72 Joint (building)Computer scienceTransfer of learningTransfer (computing)Interface (matter)
• 1P1-B10 Motivation model for interaction between parent and child based on needs for relatedness(Neurorobotics & Cognitive Robotics)
  In communication between parents and children, various kinds of intrinsic and extrinsic motivations affects to emotions that encourages actions to promote more interactions. This paper presents a motivation model of interaction between an infant and caregiver …
  openalex Akihiko NISHIKAWA, Masaki Ogino, Minoru Asada 2013-01-01 置信度 0.72 GesturePsychologyFace (sociological concept)CognitionSimple (philosophy)
• Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors
  There is currently no standard or widely accepted subset of features to effectively classify different emotions based on electroencephalogram (EEG) signals. While combining all possible EEG features may improve the classification performance, it can lead to hi…
  openalex Bahareh Nakisa, Mohammad Naim Rastgoo, Dian Tjondronegoro, Vinod Chandran 2017-10-02 置信度 0.72 Computer scienceFeature selectionElectroencephalographyCurse of dimensionalityArtificial intelligence
• 3P2-P05 A Computational Model for Local Processing Bias in Autism Spectrum Disorders(Neurorobotics & Cognitive Robotics)
  It is known that people with Autism Spectrum Disorders (ASD) have a bias for local information processing, whereas normally developing people exhibit a global bias. This study examines its underlying mechanism inspired by an evidence from neuroscience studies.…
  openalex Takakazu Moriwaki, Yukie Nagai, Minoru Asada 2014-01-01 置信度 0.72 AutismArtificial neural networkNeurosciencePsychologyBalance (ability)
• Sensors and sensing systems in advanced robotics
  The 1991 state of sensors and sensing systems in robotics is considered from the standpoint of the evolution of robots. Also, the Japanese national robot projects are reviewed with special emphasis on the large-scale national project 'Advanced Robot Technology…
  openalex Susumu Tachi 2002-12-09 置信度 0.72 RoboticsArtificial intelligenceRobotComputer scienceSystems engineering
• 2P2-M02 Acquiring state representation from multimodal information by slow feature analysis(Neurorobotics & Cognitive Robotics)
  This paper proposes a hierarchical model which is composed of a slow feature analysis (SFA) network to extract multi-modal representation of a humanoid robot. The experiment with humanoid robot shows that the network can integrate multi-modal information and d…
  openalex Akihiko NISHIKAWA, Takashi Minato, Masaki Ogino, Minoru Asada 2011-01-01 置信度 0.72 Representation (politics)Humanoid robotArtificial intelligenceComputer scienceModal
• The Myosuit: Bi-articular Anti-gravity Exosuit That Reduces Hip Extensor Activity in Sitting Transfers
  Muscle weakness-which can result from neurological injuries, genetic disorders, or typical aging-can affect a person's mobility and quality of life. For many people with muscle weakness, assistive devices provide the means to regain mobility and independence. …
  openalex Kai Schmidt, Jaime E. Duarte, Martin Grimmer, Alejandro Sancho-Puchades 等 2017-10-27 置信度 0.72 Computer sciencePhysical medicine and rehabilitationWearable computerActivities of daily livingStairs
• 2A1-M11 Maturational Constraints Lifted by Self-Organization in Perceptual Space for Cognitive Learning(Neurorobotics & Cognitive Robotics)
  It has been suggested that cognitive learning is enhanced by perceptual immaturity in infancy, which is called maturational constraints. This paper demonstrates the role of visual maturational constraints lifted by self-organization in the learner's visual spa…
  openalex Yuji Kawai, Yukie Nagai, Minoru Asada 2012-01-01 置信度 0.72 PerceptionCognitionSpace (punctuation)Self-organizationDevelopment (topology)
• Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches
  Translating progress in neuroscience into clinical benefits for patients with psychiatric disorders is challenging because it involves the brain as the most complex organ and its interaction with a complex environment and condition. Dealing with such complexit…
  openalex Ali Khaleghi, Mohammad Reza Mohammadi, Kian Shahi, Ali Motie Nasrabadi 2022-01-26 置信度 0.72 Computational neuroscienceCognitive scienceComputational modelNeuroscienceComputer science
• Organic neuromorphic electronics for sensorimotor integration and learning in robotics
  In living organisms, sensory and motor processes are distributed, locally merged, and capable of forming dynamic sensorimotor associations. We introduce a simple and efficient organic neuromorphic circuit for local sensorimotor merging and processing on a robo…
  openalex Imke Krauhausen, Dimitrios A. Koutsouras, Armantas Melianas, Scott T. Keene 等 2021-12-10 置信度 0.72 Neuromorphic engineeringRoboticsArtificial intelligenceComputer sciencePath integration
• Swallowable Wireless Capsule Endoscopy: Progress and Technical Challenges
  Wireless capsule endoscopy (WCE) offers a feasible noninvasive way to detect the whole gastrointestinal (GI) tract and revolutionizes the diagnosis technology. However, compared with wired endoscopies, the limited working time, the low frame rate, and the low …
  openalex Guobing Pan, Litong Wang 2011-12-27 置信度 0.72 Capsule endoscopyBottleneckMedicineWirelessFrame rate
• Approaching the Symbol Grounding Problem with Probabilistic Graphical Models
  In order for robots to engage in dialogue with human teammates, they must have the ability to identify correspondences between elements of language and aspects of the external world. A solution to this symbol‐grounding problem (Harnad, 1990) would enable a rob…
  openalex Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter 等 2011-12-01 置信度 0.72 Computer scienceProbabilistic logicSymbol (formal)Graphical modelRobot
• A Developmental Neuro-Robotics Approach for Boosting the Recognition of Handwritten Digits
  Developmental psychology and neuroimaging research identified a close link between numbers and fingers, which can boost the initial number knowledge in children. Recent evidence shows that a simulation of the children's embodied strategies can improve the mach…
  openalex Alessandro Di Nuovo 2020-07-01 置信度 0.72 Embodied cognitionArtificial intelligenceArabic numeralsComputer scienceConvolutional neural network
• The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study
  BACKGROUND: Stroke significantly affects thousands of individuals annually, leading to considerable physical impairment and functional disability. Gait is one of the most important activities of daily living affected in stroke survivors. Recent technological d…
  openalex Magdo Bôrtole, Anusha Venkatakrishnan, Fangshi Zhu, Juan C. Moreno 等 2015-06-16 置信度 0.72 ExoskeletonRehabilitationPhysical medicine and rehabilitationPowered exoskeletonGait training
• 3P2-Q06 Symbolization of Behavior by using Relationship Descriptor between Motions and Manipulated Objects(Neurorobotics & Cognitive Robotics)
  This paper describes a novel approach to recognize human's behavior precisely by using three dimensional information of objects in surroundings. To estimate object's label, position and orientation in surroundings, we use RGB-D point clouds data and three dime…
  openalex Yoshihiko Yamada, Wataru Takano, Yoshihiko Nakamura 2014-01-01 置信度 0.72 Artificial intelligenceObject (grammar)Computer visionComputer scienceMotion (physics)
• 2P2-L12 Construction of Real-time BMI Control System Based on Motor Imagery(Neurorobotics & Cognitive Robotics)
  Recently, a lot of Brain-Machine Interface using EEG signals is developed many study, and the application to the rehabilitation support machine is expected. In this study, four different tasks corresponding to different brain excitation strengths are designed.…
  openalex Masataka Yoshioka, Syota Shimazu, Tomohiro Nishikawa, Kazuhiro Imamura 等 2011-01-01 置信度 0.72 Motor imageryBrain–computer interfaceElectroencephalographyArtificial intelligenceFast Fourier transform
• The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial
  BACKGROUND: Many studies have demonstrated the usefulness of repetitive task practice by using robotic-assisted gait training (RAGT) devices, including Lokomat, for the treatment of lower limb paresis. Virtual reality (VR) has proved to be a valuable tool to i…
  openalex Rocco Salvatore Calabrò, Antonino Naro, Margherita Russo, Antonino Leo 等 2017-06-07 置信度 0.72 ElectroencephalographyNeurologyVirtual realityRandomized controlled trialPhysical medicine and rehabilitation
• The future of sleep health: a data-driven revolution in sleep science and medicine
  In recent years, there has been a significant expansion in the development and use of multi-modal sensors and technologies to monitor physical activity, sleep and circadian rhythms. These developments make accurate sleep monitoring at scale a possibility for t…
  openalex Ignacio Perez-Pozuelo, Bing Zhai, João Palotti, Raghvendra Mall 等 2020-03-23 置信度 0.72 Data scienceLeverage (statistics)Computer scienceBig dataScale (ratio)
• Vertically integrated spiking cone photoreceptor arrays for color perception
  The cone photoreceptors in our eyes selectively transduce the natural light into spiking representations, which endows the brain with high energy-efficiency color vision. However, the cone-like device with color-selectivity and spike-encoding capability remain…
  openalex Xiangjing Wang, Chunsheng Chen, Li Zhu, Kailu Shi 等 2023-06-10 置信度 0.72 Computer scienceSpiking neural networkColor visionArtificial intelligenceCone (formal languages)
• A review on neural network models of schizophrenia and autism spectrum disorder
  This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep neural network architectures. We analyzed and compared the most representative symptoms with its neur…
  openalex Pablo Lanillos, Daniel Oliva, Anja Philippsen, Yuichi Yamashita 等 2019-11-13 置信度 0.72 AutismSchizophrenia (object-oriented programming)Artificial neural networkConnectionismAutism spectrum disorder
• Neurotechnology-Centered Convergence
  openalex Zack Lynch 2016-01-01 置信度 0.72 Neuromorphic engineeringOptogeneticsComputer scienceBrain–computer interfaceEntertainment
• Lower-Limb Joint Torque Prediction Using LSTM Neural Networks and Transfer Learning
  Estimation of joint torque during movement provides important information in several settings, such as effect of athletes' training or of a medical intervention, or analysis of the remaining muscle strength in a wearer of an assistive device. The ability to es…
  openalex Longbin Zhang, Davit Soselia, Ruoli Wang, Elena M. Gutierrez-Farewik 2022-01-01 置信度 0.72 TorqueComputer scienceJoint (building)AnkleGeneralizability theory
• Generalised free energy and active inference
  Active inference is an approach to understanding behaviour that rests upon the idea that the brain uses an internal generative model to predict incoming sensory data. The fit between this model and data may be improved in two ways. The brain could optimise pro…
  openalex Thomas Parr, Karl Friston 2019-09-27 置信度 0.72 Complex systemInferenceEnergy (signal processing)Computer scienceArtificial intelligence
• 3P2-Q01 State space segmentation and motion generation based on dependency among image features(Neurorobotics & Cognitive Robotics)
  This paper presents a method that robot acquires a knowledge of environment by interacting with objects without designer's knowledge, and moves autonomously its arms to an effective position for manipulating objects such as a pushing based only on acquired kno…
  openalex So Watanabe, Yuichi Kobayashi, Toru Kaneko 2014-01-01 置信度 0.72 Artificial intelligenceAffordanceComputer visionComputer scienceRobot