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• 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 0.82 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 0.73 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 0.78 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 0.80 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 0.78 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 0.80 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 0.80 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 0.66 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 0.80 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 0.82 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 0.66 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 0.76 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 0.82 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 0.80 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 0.68 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 0.80 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 0.82 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 0.64 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 0.80 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 0.78 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 0.80 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 0.80 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 0.75 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 0.82 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 0.62 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 0.80 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 0.64 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 0.84 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 0.80 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 0.80 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 0.80 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 0.78 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 0.80 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 0.80 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 0.80 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 0.82 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 0.82 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 0.80 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 0.82 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 0.76 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 0.80 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 0.80 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 0.80 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 0.82 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 0.82 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 0.82 AutismSchizophrenia (object-oriented programming)Artificial neural networkConnectionismAutism spectrum disorder
• Neurotechnology-Centered Convergence
  openalex Zack Lynch 2016-01-01 置信度 0.62 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 0.82 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 0.78 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 0.80 Artificial intelligenceAffordanceComputer visionComputer scienceRobot
• Mobile Robot Path Planning Based on Ant Colony Algorithm With A* Heuristic Method
  This paper proposes an improved ant colony algorithm to achieve efficient searching capabilities of path planning in complicated maps for mobile robot. The improved ant colony algorithm uses the characteristics of A* algorithm and MAX_MIN Ant system. Firstly, …
  openalex Xiaolin Dai, Shuai Long, Zhiwen Zhang, Dawei Gong 2019-04-16 置信度 0.78 Computer scienceAnt colony optimization algorithmsMotion planningMobile robotHeuristic
• A Neurorobotic Approach of Emotion: Implemented Neurodynamics Mediate a Coupling Between Top-Down Abductive Inference and Bottom-Up Sensations
  Frontiers Events is a rapidly growing calendar management system dedicated to the scheduling of academic events. This includes announcements and invitations, participant listings and search functionality, abstract handling and publication, related events and p…
  openalex Saito Moeka, Tripathi Gyanendra, Hiroaki Wagatsuma 2014-01-01 置信度 0.74 Computer scienceCognitive scienceArtificial intelligencePsychologyInference
• A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a\n Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation\n Tasks
  While the original goal for developing robots is replacing humans in\ndangerous and tedious tasks, the final target shall be completely mimicking the\nhuman cognitive and motor behaviour. Hence, building detailed computational\nmodels for the human brain is on…
  openalex Omar Zahra, David Navarro-Alarcón, Silvia Tolu 2021-02-03 置信度 0.82 Computer scienceArtificial intelligenceCerebellumMotor controlMotor learning
• A two-dimensional mid-infrared optoelectronic retina enabling simultaneous perception and encoding
  Infrared machine vision system for object perception and recognition is becoming increasingly important in the Internet of Things era. However, the current system suffers from bulkiness and inefficiency as compared to the human retina with the intelligent and …
  openalex Fakun Wang, Fangchen Hu, Mingjin Dai, Song Zhu 等 2023-04-06 置信度 0.82 Neuromorphic engineeringComputer scienceMNIST databaseArtificial intelligenceEncoding (memory)
• Real-time cortical simulation on neuromorphic hardware
  Real-time simulation of a large-scale biologically representative spiking neural network is presented, through the use of a heterogeneous parallelization scheme and SpiNNaker neuromorphic hardware. A published cortical microcircuit model is used as a benchmark…
  openalex Oliver Rhodes, Luca Peres, Andrew Rowley, Andrew Gait 等 2019-12-23 置信度 0.78 Neuromorphic engineeringSpiking neural networkComputer scienceArtificial neural networkCorrectness
• Robotic interfaces for cognitive psychology and embodiment research: A research roadmap
  Advanced human-machine interfaces render robotic devices applicable to study and enhance human cognition. This turns robots into formidable neuroscientific tools to study processes such as the adaptation between a human operator and the operated robotic device…
  openalex Philipp Beckerle, Claudio Castellini, Bigna Lenggenhager 2018-11-28 置信度 0.80 PsychologyCognitionCognitive scienceHuman–computer interactionPsychological research
• Artificial intelligence and machine learning
  Abstract Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia and industry—sometim…
  openalex Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger 2022-11-09 置信度 0.78 TypologyCLARITYArtificial intelligenceComputer sciencePoint (geometry)
• 2A1-M07 Design of Brain Machine Interface using potable Near-InfraRed Spectroscopy system(Neurorobotics & Cognitive Robotics)
  Recently, Brain-Machine Interface (BMI) system is focused in robotics and medical science. In this research, we aim to design a BMI system using Near-InfraRed Spectroscopy (NIRS) which measures brain blood flow change. This time, we discuss a method of classif…
  openalex Tomotaka Ito, Hideki Akiyama, Yoshihiro Mitsui, Tokihisa Hirano 2012-01-01 置信度 0.80 RoboticsPotable waterInterface (matter)Artificial intelligenceCognition
• Bundled-Optode Method in Functional Near-Infrared Spectroscopy
  In this paper, a theory for detection of the absolute concentrations of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) from hemodynamic responses using a bundled-optode configuration in functional near-infrared spectroscopy (fNIRS) is proposed. The proposed m…
  openalex Hoang-Dung Nguyen, Keum‐Shik Hong, Yong‐Il Shin 2016-10-27 置信度 0.76 Functional near-infrared spectroscopyThumbOptodeHemodynamicsHaemodynamic response
• Exploratory Tactile Servoing With Active Touch
  A key unsolved problem in tactile robotics is how to combine tactile perception and control to interact robustly and intelligently with the surroundings. Here, we focus on a prototypical task of tactile exploration over surface features such as edges or ridges…
  openalex Nathan F. Lepora, Kirsty Aquilina, Luke Cramphorn 2017-01-31 置信度 0.76 Artificial intelligenceComputer visionVisual servoingActive perceptionComputer science
• Augmented Reality for Robotics: A Review
  Augmented reality (AR) is used to enhance the perception of the real world by integrating virtual objects to an image sequence acquired from various camera technologies. Numerous AR applications in robotics have been developed in recent years. The aim of this …
  openalex Zhanat Makhataeva, Hüseyin Atakan Varol 2020-04-02 置信度 0.82 RoboticsArtificial intelligenceRobotAugmented realityTeleoperation
• Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
  Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances in neuroscience, alongside huge leaps in computer processing power over the last few decades, have given rise to a new generation of in silico neural networks inspire…
  openalex Tom Macpherson, Anne K. Churchland, Terry Sejnowski, James J. DiCarlo 等 2021-09-28 置信度 0.82 Computational neuroscienceCognitive neuroscienceSystems neuroscienceCognitive scienceNeuroinformatics
• 1P1-B05 Design of musculoskeletal infant robot for constructive study on environmental condition that facilitates motor development(Neurorobotics & Cognitive Robotics)
  In this study, we built an infant size robot with a vision system and a musculoskeletal system in order to investigate the effect of the interaction between a sensory system, a musculoskeletal system, and an environment on development of crawling motion. We fo…
  openalex Soichiro MORIYAMA, Kenichi Narioka, Koh Hosoda 2013-01-01 置信度 0.80 CrawlingRobotDevelopmental roboticsArtificial intelligenceMotion (physics)
• Frontal midline theta and N 200 amplitude reflect complementary information about expectancy and outcome evaluation
  Feedback ERN (fERN) and frontal midline theta have both been proposed to index a dopamine-like reinforcement learning signal in anterior cingulate cortex (ACC). We investigated these proposals by comparing fERN amplitude and theta power with respect to their s…
  openalex Azadeh HajiHosseini, Clay B. Holroyd 2013-03-22 置信度 0.80 PsychologyFernAnterior cingulate cortexAmplitudeNeuroscience
• Recent Progress in Transistor‐Based Optoelectronic Synapses: From Neuromorphic Computing to Artificial Sensory System
  Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in‐memory computing, artificial sensory perception, and humanoid robotics. Among th…
  openalex Sung Woon Cho, Sung Min Kwon, Yong‐Hoon Kim, Sung Kyu Park 2021-02-05 置信度 0.82 Neuromorphic engineeringComputer scienceElectronicsComputer architectureTransistor
• Biological underpinnings for lifelong learning machines
  openalex Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov 等 2022-03-23 置信度 0.64 Lifelong learningComputer scienceArtificial intelligenceSet (abstract data type)Bridge (graph theory)
• Enhanced Drowsiness Detection Using Deep Learning: An fNIRS Study
  In this paper, a deep-learning-based driver-drowsiness detection for brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS) is investigated. The passive brain signals from drowsiness were acquired from 13 healthy subjects while driv…
  openalex M. Asjid Tanveer, Muhammad Jawad Khan, Mohsin Qureshi, Noman Naseer 等 2019-01-01 置信度 0.82 Brain–computer interfaceComputer scienceConvolutional neural networkFunctional near-infrared spectroscopyArtificial intelligence
• Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
  Abstract The intrinsic stochasticity of the memristor can be used to generate true random numbers, essential for non-decryptable hardware-based security devices. Here, we propose a novel and advanced method to generate true random numbers utilizing the stochas…
  openalex Gwangmin Kim, Jae Hyun In, Young Seok Kim, Hakseung Rhee 等 2021-05-18 置信度 0.78 MemristorRandom number generationComputer scienceVariation (astronomy)Topology (electrical circuits)
• 1P1-B07 Inteligence of humanoid robot which associate sentence with motion using large database in cloud computer(Neurorobotics & Cognitive Robotics)
  This paper proposes methods to generate sentences from motions by using a large word dataset, and to distribute the computations to cloud computers. These methods make it possible for humanoid robots to understand human motions in various sentences in real tim…
  openalex Ikuo Kusajima, Wataru Takano, Yoshihiko Nakamura 2013-01-01 置信度 0.80 SentenceComputer scienceMotion (physics)Word (group theory)Humanoid robot
• Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection
  DATA REPORT article Front. Neurorobot., 18 June 2019 Volume 13 - 2019 | https://doi.org/10.3389/fnbot.2019.00038
  openalex Shu Miao, Guang Chen, Xiangyu Ning, Yang Zi 等 2019-06-18 置信度 0.77 Computer sciencePedestrian detectionNeuromorphic engineeringAction recognitionArtificial intelligence
• A Soft Neuromorphic Approach for Contact Spatial Shape Sensing Based on Vision-Based Tactile Sensor
  openalex Xiaoxin Wang, Yicheng Yang, Ziliang Zhou, Guiyao Xiang 等 2022-01-01 置信度 0.68 Neuromorphic engineeringTactile sensorSpike (software development)Computer scienceArtificial intelligence
• 3P2-Q04 The Role of Visual Saliency Model in Coordinative Eye and Hand Movement : Towards Applications to Retinal Prostheses(Neurorobotics & Cognitive Robotics)
  Sight is important for our motion generation such as walking and reaching for an object. However, it is not evident which visual features give helpful information for motion generation. In this paper, we examine the prior visual features used for coordinative …
  openalex Takaomi Kanda, Hiroyuki Kanda, Yukie Nagai, Takashi Fujikado 等 2014-01-01 置信度 0.80 Artificial intelligenceComputer visionComputer scienceSightMotion (physics)
• Diabetic Retinopathy Detection from Fundus Images of the Eye Using Hybrid Deep Learning Features
  Diabetic Retinopathy (DR) is a medical condition present in patients suffering from long-term diabetes. If a diagnosis is not carried out at an early stage, it can lead to vision impairment. High blood sugar in diabetic patients is the main source of DR. This …
  openalex M. Mohsin Butt, D. N. F. Awang Iskandar, Sherif E. Abdelhamid, Ghazanfar Latif 等 2022-07-01 置信度 0.82 Diabetic retinopathyArtificial intelligenceFundus (uterus)Computer scienceConvolutional neural network
• SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning
  Deep reinforcement learning (DRL) has gained great success by learning directly from high-dimensional sensory inputs, yet is notorious for the lack of interpretability. Interpretability of the subtasks is critical in hierarchical decision-making as it increase…
  openalex Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson 2019-07-17 置信度 0.73 InterpretabilityReinforcement learningComputer scienceArtificial intelligencePlanner
• Robot-Assisted Therapy for Autism Spectrum Disorders with (Partially) Autonomous Control: Challenges and Outlook
  Abstract Robot-assisted therapy (RAT) is an emerging field that has already seen some success and is likely to develop in the future. One particular application area is within therapies for autism spectrum disorders, in which the viability of the approach has …
  openalex Serge Thill, Cristina Pop, Tony Belpaeme, Tom Ziemke 等 2012-01-01 置信度 0.80 AutismRobotAutonomyField (mathematics)Computer science
• Embodied working memory during ongoing input streams
  Sensory stimuli endow animals with the ability to generate an internal representation. This representation can be maintained for a certain duration in the absence of previously elicited inputs. The reliance on an internal representation rather than purely on t…
  openalex Nareg Berberian, Matt Ross, Sylvain Chartier 2021-01-05 置信度 0.82 Working memoryEmbodied cognitionSensory systemComputer scienceNeuroscience
• Towards a General Theory of Information
  Contemporary society is an information society, based on Information Sciences and Information Technology. Technical information is therefore the most accessed and further promoted. This article aims to push toward completeness the study of information by analy…
  openalex Laura L. Pană 2017-06-20 置信度 0.80 HierarchyGroup information managementInformation mappingVariety (cybernetics)Information science
• 1P1-B06 Analysis of insect odor source localization behavior by manipulating sensory feedback using a brain-machine hybrid system(Neurorobotics & Cognitive Robotics)
  We analyzed properties of a brain responding to unnatural sensory feedback by using a brain-machine hybrid system. The brain-machine hybrid system is a two-wheeled mobile robot with an insect's head as a controller. On the robot, we recorded neural signals rel…
  openalex Ryo Minegishi, Yosuke Takahashi, A. Takashima, Daisuke Kurabayashi 等 2013-01-01 置信度 0.80 Sensory systemArtificial intelligenceComputer scienceRobotOdor
• Autonomous Driving Architectures: Insights of Machine Learning and Deep Learning Algorithms
  Research in Autonomous Driving is taking momentum due to the inherent advantages of autonomous driving systems. The main advantage being the disassociation of the driver from the vehicle reducing the human intervention. However, the Autonomous Driving System i…
  openalex Mrinal Bachute, Javed Subhedar 2021-09-21 置信度 0.73 Artificial intelligenceComputer scienceDeep learningFault detection and isolationFalse positive paradox
• The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning
  Existing mobile robots cannot complete some functions. To solve these problems, which include autonomous learning in path planning, the slow convergence of path planning, and planned paths that are not smooth, it is possible to utilize neural networks to enabl…
  crossref Jinglun Yu, Yuancheng Su, Yifan Liao 2020-10-02T04:19:56Z 置信度 0.79 computer sciencereinforcement learningcomputer and information sciencesartificial intelligencerobotics
• A 3D Musculo-Mechanical Model of the Salamander for the Study of Different Gaits and Modes of Locomotion
  Computer simulation has been used to investigate several aspects of locomotion in salamanders. Here we introduce a three-dimensional forward dynamics mechanical model of a salamander, with physically realistic weight and size parameters. Movements of the four …
  crossref Nalin Harischandra, Jean-Marie Cabelguen, Örjan Ekeberg 2010-12-22T03:31:56Z 置信度 0.75 physical medicine and rehabilitationartificial neural networkbrain-computer interfacerobotcognition
• A neural network-based exploratory learning and motor planning system for co-robots
  Collaborative robots, or co-robots, are semi-autonomous robotic agents designed to work alongside humans in shared workspaces. To be effective, co-robots require the ability to respond and adapt to dynamic scenarios encountered in natural environments. One way…
  crossref Byron V. Galbraith, Frank H. Guenther, Massimiliano Versace 2015-07-23T04:14:44Z 置信度 0.78 computer scienceartificial intelligencecomputer and information sciencesrobotrobotics
• The super-resolution reconstruction algorithm of multi-scale dilated convolution residual network
  Aiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, and easy loss of image feature information, a super-resoluti…
  crossref Shanqin Wang, Miao Zhang, Mengjun Miao 2024-08-16T12:55:20Z 置信度 0.78 artificial intelligencecomputer sciencecomputer and information sciencesartificial neural networkconvolutional neural network
• Inference of affordances and active motor control in simulated agents
  Flexible, goal-directed behavior is a fundamental aspect of human life. Based on the free energy minimization principle, the theory of active inference formalizes the generation of such behavior from a computational neuroscience perspective. Based on the theor…
  crossref Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz 2022-08-11T12:51:11Z 置信度 0.79 cs.lgcs.aicomputer and information sciencesphysicsrobotics
• A Correlation Analysis of Geomagnetic Field Characteristics in Geomagnetic Perceiving Navigation
  It is well-known that geomagnetic fields have multiple components or parameters, and that these geomagnetic parameters are related to each other. In this paper, a parameter selection method is proposed, and this paper mainly discusses the correlation of geomag…
  crossref Hong Li, Junsuo Qu, Xiangkui Jiang, Yun Niu 2021-12-23T08:53:40Z 置信度 0.71 stat.apalgorithmplasma physicsphysics.plasm-phstat.ml
• On Differential Mechanisms for Underactuated, Lightweight, Adaptive Prosthetic Hands
  Over the last decade underactuated, adaptive robot grippers and hands have received an increased interest from the robotics research community. This class of robotic end-effectors can be used in many different fields and scenarios with a very promising applica…
  crossref Geng Gao, Mojtaba Shahmohammadi, Lucas Gerez, George Kontoudis 等 2021-10-18T21:59:26Z 置信度 0.79 computer scienceroboticsrobotsoft roboticshuman-computer interaction
• Hierarchical Control of Visually-Guided Movements in a 3D-Printed Robot Arm
  The control architecture guiding simple movements such as reaching toward a visual target remains an open problem. The nervous system needs to integrate different sensory modalities and coordinate multiple degrees of freedom in the human arm to achieve that go…
  crossref Adam Matić, Pavle Valerjev, Alex Gomez-Marin 2021-10-29T11:25:45Z 置信度 0.79 robotroboticsunderwaterreinforcement learningcomputer and information sciences
• Editorial: How can wearable robotic and sensor technology advance neurorehabilitation?
  EDITORIAL article Front. Neurorobot., 11 October 2022 Volume 16 - 2022 | https://doi.org/10.3389/fnbot.2022.1033516
  crossref Shuo-Hsiu Chang, Shih-Chiao Tseng, Hao Su, Gerard E. Francisco 2022-10-11T11:31:41Z 置信度 0.66
• A multi-scale robotic tool grasping method for robot state segmentation masks
  As robots begin to collaborate with humans in their daily work spaces, they need to have a deeper understanding of the tasks of using tools. In response to the problem of using tools in collaboration between humans and robots, we propose a modular system based…
  pubmed Tao Xue, Deshuai Zheng, Jin Yan, Yong Liu 等 2022 置信度 0.89 robotconvolutional neural networkhuman-computer interactioncs.rotask
• SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering
  Recent advances have witnessed a trending application of transfer learning in a broad spectrum of natural language processing (NLP) tasks, including question answering (QA). Transfer learning allows a model to inherit domain knowledge obtained from an existing…
  crossref Xian Zhu, Yuanyuan Chen, Yueming Gu, Zhifeng Xiao 2022-03-10T15:00:31Z 置信度 0.71 computer scienceartificial intelligencecs.aics.lgcs.cl
• BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization
  Deep neural networks (DNNs) are known for extracting useful information from large amounts of data. However, the representations learned in DNNs are typically hard to interpret, especially in dense layers. One crucial issue of the classical DNN model such as m…
  crossref Yuyang Gao, Giorgio A. Ascoli, Liang Zhao 2021-06-01T05:47:03Z 置信度 0.79 cs.lgcs.nestat.mlartificial neural networkartificial intelligence
• Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives
  EDITORIAL article Front. Neurorobot., 03 August 2021 | https://doi.org/10.3389/fnbot.2021.731733
  crossref Jeffrey L. Krichmar, James Leland Olds, Juan V. Sanchez-Andres, Huajin Tang 2021-08-03T07:39:56Z 置信度 0.70
• Siamese hierarchical feature fusion transformer for efficient tracking
  Object tracking is a fundamental task in computer vision. Recent years, most of the tracking algorithms are based on deep networks. Trackers with deeper backbones are computationally expensive and can hardly meet the real-time requirements on edge platforms. L…
  pubmed Jiahai Dai, Yunhao Fu, Songxin Wang, Yuchun Chang 等 2022 置信度 0.93 computer sciencecomputer and information sciencesartificial intelligencecs.lgcs.ai
• How Cognitive Models of Human Body Experience Might Push Robotics
  In the last decades, cognitive models of multisensory integration in human beings have been developed and applied to model human body experience. Recent research indicates that Bayesian and connectionist models might push developments in various branches of ro…
  crossref Tim Schürmann, Betty Jo Mohler, Jan Peters, Philipp Beckerle 2019-04-11T13:45:15Z 置信度 0.79 computer scienceartificial intelligencehuman-computer interactionroboticsrobot
• FusionU10: enhancing pedestrian detection in low-light complex tourist scenes through multimodal fusion
  With the rapid development of tourism, the concentration of visitor flows poses significant challenges for public safety management, especially in low-light and highly occluded environments, where existing pedestrian detection technologies often struggle to ac…
  crossref Xuefan Zhou, Jiapeng Li, Yingzheng Li 2025-01-10T01:12:57Z 置信度 0.78 computer sciencecomputer and information sciencesartificial intelligencecs.cvcs.lg
• Self-Learning Event Mistiming Detector Based on Central Pattern Generator
  A repetitive movement pattern of many animals, a gait, is controlled by the Central Pattern Generator (CPG), providing rhythmic control synchronous to the sensed environment. As a rhythmic signal generator, the CPG can control the motion phase of biomimetic le…
  crossref Rudolf Szadkowski, Miloš Prágr, Jan Faigl 2021-02-04T08:20:28Z 置信度 0.79 roboticsrobotcontrol theoryai safetyreinforcement learning
• LST-EMG-Net: Long short-term transformer feature fusion network for sEMG gesture recognition
  With the development of signal analysis technology and artificial intelligence, surface electromyography (sEMG) signal gesture recognition is widely used in rehabilitation therapy, human-computer interaction, and other fields. Deep learning has gradually becom…
  pubmed Wenli Zhang, Tingsong Zhao, Jianyi Zhang, Yufei Wang 等 2023 置信度 0.93 computer sciencebrain-computer interfaceartificial intelligenceconvolutional neural networkcomputer and information sciences
• Case report: Quantitative recognition of virtual human technology acceptance based on efficient deep neural network algorithm
  With the advancement of artificial intelligence, robotics education has been a significant way to enhance students' digital competency. In turn, the willingness of teachers to embrace robotics education is related to the effectiveness of robotics education imp…
  pubmed Xu Wang, Charles Chen, Wang X, Chen C 2022 置信度 0.93 psychologymathematics educationartificial intelligencemedical educationcs.ai
• Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
  Using machine-learning methodologies to analyze EEG signals becomes increasingly attractive for recognizing human emotions because of the objectivity of physiological data and the capability of the learning principles on modeling emotion classifiers from heter…
  crossref Zhong Yin, Yongxiong Wang, Li Liu, Wei Zhang 等 2017-04-10T03:46:39Z 置信度 0.78 brain-computer interfaceelectroencephalographymotor imagerycs.lgartificial intelligence