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• Underwater Localization and Mapping Based on Multi-Beam Forward Looking Sonar
  SLAM (Simultaneous Localization And Mapping) plays a vital role in navigation tasks of AUV (Autonomous Underwater Vehicle). However, due to a vast amount of image sonar data and some acoustic equipment's inherent high latency, it is a considerable challenge to…
  crossref Chensheng Cheng, Can Wang, Dianyu Yang, Weidong Liu 等 2022-01-07T07:06:33Z 置信度 0.71 underwaterrobotcomputer scienceartificial intelligencemarine engineering
• Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition
  Significant strides have been made in emotion recognition from Electroencephalography (EEG) signals. However, effectively modeling the diverse spatial, spectral, and temporal features of multi-channel brain signals remains a challenge. This paper proposes a no…
  crossref Jiyao Liu, Lang He, Haifeng Chen, Dongmei Jiang 2025-01-07T03:03:33Z 置信度 0.82 brain-computer interfaceelectroencephalographymotor imagerycomputer and information sciencesinterface
• Using Long Short-Term Memory for Building Outdoor Agricultural Machinery
  Today, climate change has caused a decrease in agricultural output or overall yields that are not as expected; however, with the ongoing population explosion, many undeveloped countries have transformed into emerging countries and have transformed farmland to …
  crossref Chien-Hung Wu, Chun-Yi Lu, Jun-We Zhan, Hsin-Te Wu 2020-05-29T05:12:04Z 置信度 0.76 robotenvironmental scienceagricultureroboticssustainability
• UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis
  Indoor location information is an indispensable parameter for modern intelligent warehouse management and robot navigation. Indoor wireless positioning exhibits large errors due to factors such as indoor non-line-of-sight (NLOS) obstructions. In the present st…
  crossref Hua Guo, Mengqi Li, Xuejing Zhang, Xiaotian Gao 等 2022-07-26T08:40:25Z 置信度 0.76 algorithmquantum algorithmelectrical engineering, electronic engineering, information engineeringcs.itsystems and control
• A Relation-Oriented Model With Global Context Information for Joint Extraction of Overlapping Relations and Entities
  The entity relation extraction in the form of triples from unstructured text is a key step for self-learning knowledge graph construction. Two main methods have been proposed to extract relation triples, namely, the pipeline method and the joint learning appro…
  crossref Huihui Han, Jian Wang, Xiaowen Wang 2022-07-04T18:58:45Z 置信度 0.76 cs.lgconvolutional neural networkcomputer sciencecs.aiartificial intelligence
• A novel activation function based recurrent neural networks and their applications on sentiment classification and dynamic problems solving
  In this paper, a nonlinear activation function (NAF) is proposed to constructed three recurrent neural network (RNN) models (Simple RNN (SRNN) model, Long Short-term Memory (LSTM) model and Gated Recurrent Unit (GRU) model) for sentiment classification. The In…
  crossref Qingyi Zhu, Mingtao Tan 2022-09-23T13:38:15Z 置信度 0.79 artificial neural networkcs.lgcomputer and information sciencescs.neconvolutional neural network
• Brain-Inspired Coding of Robot Body Schema Through Visuo-Motor Integration of Touched Events
  Representing objects in space is difficult because sensorimotor events are anchored in different reference frames, which can be either eye-, arm-, or target-centered. In the brain, Gain-Field (GF) neurons in the parietal cortex are involved in computing the ne…
  crossref Ganna Pugach, Alexandre Pitti, Olga Tolochko, Philippe Gaussier 2019-03-07T04:34:55Z 置信度 0.79 roboticshuman-computer interactioncomputer scienceneuroscienceembodied cognition
• Social Cognition for Human-Robot Symbiosis—Challenges and Building Blocks
  The next generation of robot companions or robot working partners will need to satisfy social requirements somehow similar to the famous laws of robotics envisaged by Isaac Asimov time ago (Asimov, 1942). The necessary technology has almost reached the require…
  crossref Giulio Sandini, Vishwanathan Mohan, Alessandra Sciutti, Pietro Morasso 2018-07-11T14:11:31Z 置信度 0.78 robotartificial intelligenceroboticscognitioncomputer science
• Editorial: AI taking actions in the physical world - Strategies for establishing trust and reliability
  pubmed Sirko Straube, Ryuji Yamazaki-Skov, Raul Hakli, Straube S 等 2023 置信度 0.67
• Neurorobotics: A Holy Grail to Practice Reality Continuum
  openalex Michael L.J. Apuzzo 2014-05-01 置信度 0.69 AntimycobacterialMoietyMedicineMycobacterium tuberculosisStereochemistry
• Dual exploration strategies using artificial spiking neural networks in a robotic learning task
  Spatial information can be valuable, but new environments may be perceived as risky and thus often evoke fear responses and risk-averse exploration strategies such as thigmotaxis or wall-following behavior. Individual differences in risk-taking (boldness) and …
  openalex André Cyr, Julie Morand‐Ferron, Frédéric Thériault 2020-06-17 置信度 0.82 ThigmotaxisContext (archaeology)Artificial intelligenceComputer scienceTask (project management)
• Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands
  Natural control methods based on surface electromyography (sEMG) and pattern recognition are promising for hand prosthetics. However, the control robustness offered by scientific research is still not sufficient for many real life applications, and commercial …
  openalex Manfredo Atzori, Matteo Cognolato, Henning Müller 2016-09-07 置信度 0.80 Computer scienceConvolutional neural networkElectromyographyArtificial intelligenceDeep learning
• Learning to reinforcement learn
  In recent years deep reinforcement learning (RL) systems have attained superhuman performance in a number of challenging task domains. However, a major limitation of such applications is their demand for massive amounts of training data. A critical present obj…
  openalex Jane X. Wang, Zeb Kurth‐Nelson, Dhruva Tirumala, Hubert Soyer 等 2016-11-17 置信度 0.72 Reinforcement learningComputer scienceArtificial intelligenceExploitTask (project management)
• The neurons that restore walking after paralysis
  Abstract A spinal cord injury interrupts pathways from the brain and brainstem that project to the lumbar spinal cord, leading to paralysis. Here we show that spatiotemporal epidural electrical stimulation (EES) of the lumbar spinal cord 1–3 applied during neu…
  openalex Claudia Kathe, Michael A. Skinnider, Thomas H. Hutson, Nicola Regazzi 等 2022-11-09 置信度 0.82 Spinal cordSpinal cord injuryLumbar Spinal CordNeuroscienceParalysis
• Virtual Reality and Hybrid Technology for Neurorehabilitations
  openalex Alessandro De Mauro, Aitor Ardanza, Chao Chen, Eduardo Carrasco 等 2011-01-01 置信度 0.62 Virtual realityComputer scienceRehabilitationNeuroprostheticsHuman–computer interaction
• Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics
  Abstract Neuromorphic computing memristors are attractive to construct low-power- consumption electronic textiles due to the intrinsic interwoven architecture and promising applications in wearable electronics. Developing reconfigurable fiber-based memristors …
  openalex Tianyu Wang, Jialin Meng, Xufeng Zhou, Yue Liu 等 2022-12-02 置信度 0.82 Neuromorphic engineeringMemristorElectronicsPower (physics)Computer science
• A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human–Robot Interaction
  As robotic devices are applied to problems beyond traditional manufacturing and industrial settings, we find that interaction between robots and humans, especially physical interaction, has become a fast developing field. Consider the application of robotics i…
  openalex Dylan P. Losey, Craig G. McDonald, Edoardo Battaglia, Marcia K. O’Malley 2018-01-01 置信度 0.80 RobotHuman–robot interactionHuman–computer interactionTask (project management)Computer science
• #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
  Count-based exploration algorithms are known to perform near-optimally when used in conjunction with tabular reinforcement learning (RL) methods for solving small discrete Markov decision processes (MDPs). It is generally thought that count-based methods canno…
  openalex Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke 等 2016-11-15 置信度 0.76 Reinforcement learningComputer scienceHash functionHeuristicsMarkov decision process
• The neurorobotic interface for decoding a skilled hindlimb movement before and after a spinal cord injury
  The long-term goal motivating this research is to design a Neurorobotic Interface that will allow the restoration of lower limb control after a neurologically complete spinal injury. The project's central hypothesis is that populations of single neurons in the…
  openalex Robert Davisson Flint, Karen A. Moxon 2010-06-01 置信度 0.78 Spinal cord injuryMovement (music)Physical medicine and rehabilitationHindlimbDecoding methods
• Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics
  In this review, we give a brief outline of robot-mediated gait training for stroke patients, as an important emerging field in rehabilitation. Technological innovations are allowing rehabilitation to move toward more integrated processes, with improved efficie…
  openalex Giovanni Morone, Stefano Paolucci, Andrea Cherubini, Domenico De Angelis 等 2017-05-01 置信度 0.80 NeurorehabilitationRobotRoboticsRehabilitationExoskeleton
• Robotically Embodied Biological Neural Networks to Investigate Haptic Restoration with Neuroprosthetic Hands
  Neuroprosthetic limbs reconnect severed neural pathways for control of (and increasingly sensation from) an artificial limb. However, the plastic interaction between robotic and biological components is poorly understood. To gain such insight, we developed a n…
  openalex Craig Ades, Moaed A. Abd, E Du, Jianning Wei 等 2022-03-21 置信度 0.82 Haptic technologyEmbodied cognitionNeuroprostheticsComputer scienceNeural engineering
• Autonomy of the Artificial: A NeuroRobotic Approach to Intrinsically Motivated Agents
  Contains fulltext : 332401.pdf (Publisher’s version ) (Closed access)
  openalex O. Guerrero Rosado 2026-01-01 置信度 0.74 AutonomyComputer scienceEpistemologyPsychologyPerspective (graphical)
• Learning to select and generalize striking movements in robot table tennis
  Learning new motor tasks from physical interactions is an important goal for both robotics and machine learning. However, when moving beyond basic skills, most monolithic machine learning approaches fail to scale. For more complex skills, methods that are tail…
  openalex Katharina Mülling, Jens Kober, Oliver Kroemer, Jan Peters 2013-01-30 置信度 0.80 Kinesthetic learningTable (database)RobotArtificial intelligenceComputer science
• I Reach Faster When I See You Look: Gaze Effects in Human–Human and Human–Robot Face-to-Face Cooperation
  Human-human interaction in natural environments relies on a variety of perceptual cues. Humanoid robots are becoming increasingly refined in their sensorimotor capabilities, and thus should now be able to manipulate and exploit these social cues in cooperation…
  openalex Jean-David Boucher, Ugo Pattacini, Amélie Lelong, Gerrard Bailly 等 2012-01-01 置信度 0.80 GazeComputer scienceFace (sociological concept)Human–robot interactionComputer vision
• Massively Parallel Robot Simulations with the HBP Neurorobotics Platform
  openalex Florian Walter, Mahmoud Akl, Fabrice O. Morin, Alois Knoll 2026-08-31T06:31:36.107Z 置信度 0.66 Massively parallelComputer scienceParallel computingArtificial intelligence
• Brain-Driven Telepresence Robots: A Fusion of User’s Commands with Robot’s Intelligence
  openalex Gloria Beraldo, Luca Tonin, Amedeo Cesta, Emanuele Menegatti 2021-01-01 置信度 0.71 RobotComputer scienceHuman–computer interactionArtificial intelligenceComputer vision
• Coordination of Locomotion with Voluntary Movements in Humans
  Muscle activity occurring during human locomotion can be accounted for by five basic temporal activation patterns in a variety of locomotion conditions. Here, we examined how these activation patterns interact with muscle activity required for a voluntary move…
  openalex Yuri P. Ivanenko, Germana Cappellini, Nadia Dominici, R. E. Poppele 等 2005-08-03 置信度 0.78 NeuroscienceMotor coordinationCommunicationPsychologyPhysical medicine and rehabilitation
• Proceedings of an international symposium on neurorobotics. Summer 2008. Freiburg, Germany.
  openalex 2010-01-06 置信度 0.63 Library scienceHistoryComputer science
• A Humanoid Robot Learning Audiovisual Classification By Active Exploration
  We present a novel neurorobotic setup and dataset for active object exploration and audiovisual classification based on their material properties. In the robotic setup, a humanoid drops an item on a sloped surface and records the video image frames and raw aud…
  openalex Glareh Mir, Matthias Kerzel, Erik Strahl, Stefan Wermter 2021-08-20 置信度 0.82 Computer scienceModality (human–computer interaction)Artificial intelligenceHumanoid robotObject (grammar)
• Using the Neurorobotics Platform to Explain Global Processing in Visual Crowding
  BMI
  openalex Alban Bornet, Alexander Kröner, Jacques Kaiser, Fedor Scholz 等 2019-04-01 置信度 0.66 CrowdingVisual processingComputer scienceCognitive psychologyPsychology
• Computational model of the LGMD neuron for automatic collision detection
  In many animal species it is essential to recognize approach predators from complex, dynamic visual scenes and timely initiate escape behavior. Such sophisticated behaviours are often achieved with low neuronal complexity, such as in locusts, suggesting that e…
  openalex Ana Silva, Cristina P. Santos 2013-02-01 置信度 0.80 Computer scienceArtificial intelligenceProcess (computing)Task (project management)Robot
• SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG
  EEG-based automatic emotion recognition can help brain-inspired robots in improving their interactions with humans. This paper presents a novel framework for emotion recognition using multi-channel electroencephalogram (EEG). The framework consists of a linear…
  openalex Xiaofen Xing, Zhiyang Li, Tianyuan Xu, Lin Shu 等 2019-06-12 置信度 0.82 ElectroencephalographyComputer scienceAutoencoderArtificial intelligenceEmotion recognition
• Development of compositional and contextual communication of robots by using the multiple timescales dynamic neural network
  The current paper introduces neurorobotics experiment on acquisition of complex communicative skills with human via learning. A dynamic neural network model which is characterized by its multiple timescale dynamics characteristics was utilized as a neuronal mo…
  openalex Gibeom Park, Jun Tani 2015-08-01 置信度 0.80 Computer scienceTask (project management)GeneralizationHumanoid robotProperty (philosophy)
• Connecting Neurons to a Mobile Robot: An In Vitro Bidirectional Neural Interface
  One of the key properties of intelligent behaviors is the capability to learn and adapt to changing environmental conditions. These features are the result of the continuous and intense interaction of the brain with the external world, mediated by the body. Fo…
  openalex Antonio Novellino, Paolo D’Angelo, Luca Cozzi, Michela Chiappalone 等 2007-01-01 置信度 0.78 Computer scienceNoveltyDecoding methodsCoding (social sciences)Scalability
• Decoding the spatio-temporal localization of behavioral events in populations of neurons
  A method for decoding the spatio-temporal localization of behavioral events using the activity recorded from populations of neurons in-vivo is presented. The method is broken down into two parts: decoding temporal localization and decoding spatial localization…
  openalex Guglielmo Foffani, Karen A. Moxon 2003-12-22 置信度 0.78 Decoding methodsComputer scienceComputer visionArtificial intelligenceTreadmill
• Wreath Product 3D Analysis and Movement Affordances: A Neurorobotic Approach
  Symmetry-based wreath products have been proposed as a cognitive representation combining actuation and perception as derived from sensorimotor streams. Previous work has described how 2D wreath product shape analysis may be expressed in an appropriate neural …
  openalex Thomas C. Henderson, Taylor Welker, David Sacharny 2019-09-01 置信度 0.82 AffordanceComputer scienceMovement (music)Product (mathematics)Wreath product
• A feature agnostic approach for glaucoma detection in OCT volumes
  Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma. Previous…
  openalex Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein 等 2019-07-01 置信度 0.82 GlaucomaOptical coherence tomographyArtificial intelligenceConvolutional neural networkDeep learning
• Neurorobotic and hybrid approaches for gait rehabilitation in spinal cord injury
  openalex Antonio J. del‐Ama, Juan C. Moreno, Ángel Gil-Agudo, José L. Pons 2012-11-01 置信度 0.65 Physical medicine and rehabilitationSpinal cord injuryRehabilitationGaitMedicine
• Robby: A Neurorobotics Control Framework Using Spiking Neural Networks
  The variety of neural models and robotic hardware has made simulation writing time-consuming and error prone, forcing thus scientists to spend a substantial amount of time on the implementation of their models. We developed a framework called "Robby" that allo…
  openalex Cătălin V. Rusu, Tiberiu Ban, Horea Adrian Greblă 2017-12-15 置信度 0.80 Artificial neural networkComputer scienceSpiking neural networkSimple (philosophy)Variety (cybernetics)
• Active Inference, Curiosity and Insight
  This article offers a formal account of curiosity and insight in terms of active (Bayesian) inference. It deals with the dual problem of inferring states of the world and learning its statistical structure. In contrast to current trends in machine learning (e.…
  openalex Karl Friston, Marco Lin, Chris Frith, Giovanni Pezzulo 等 2017-08-04 置信度 0.72 InferenceArtificial intelligenceCuriosityComputer scienceFree energy principle
• Forming a sparse representation for visual place recognition using a neurorobotic approach
  This paper introduces a novel unsupervised neural network model for visual information encoding which aims to address the problem of large-scale visual localization. Inspired by the structure of the visual cortex, the model (namely HSD) alternates layers of to…
  openalex Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Olivier Romain 2021-09-19 置信度 0.82 Computer scienceRepresentation (politics)Sparse approximationArtificial intelligencePattern recognition (psychology)
• Multi-agent deep reinforcement learning: a survey
  Abstract The advances in reinforcement learning have recorded sublime success in various domains. Although the multi-agent domain has been overshadowed by its single-agent counterpart during this progress, multi-agent reinforcement learning gains rapid tractio…
  openalex Sven Gronauer, Klaus Diepold 2021-04-15 置信度 0.78 Reinforcement learningComputer scienceReinforcementDomain (mathematical analysis)Artificial intelligence
• Neurorobotic insights into locomotor control, turning, and recovery after thoracic spinal cord injury
  Locomotion is produced by the coordination of neural circuits, sensory feedback, and musculoskeletal system, requiring integrated models to uncover how these components interact to generate adaptive movement, steering, and recovery after spinal cord injury. He…
  openalex Andrew B. Lockhart, Kimberly J. Dougherty, Simon M. Danner 2026-07-01 置信度 0.84 Spinal cord injurySpinal cordSensory systemCentral pattern generatorNeuroscience
• Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
  Studies suggest that within the hierarchical architecture, the topological higher level possibly represents a conscious category of the current sensory events with slower changing activities. They attempt to predict the activities on the lower level by relayin…
  openalex Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi 2018-04-17 置信度 0.80 Predictive codingTerm (time)ModalComputer scienceCoding (social sciences)
• In Search for the Neural Mechanisms of Individual Development: Behavior-Driven Differential Hebbian Learning
  When Donald Hebb published his 1949 book ``The Organization of Behavior'' he opened a new way of thinking in theoretical neuroscience which, in retrospective, is very close to contemporary ideas in self-organization. His metaphor of ``wiring'' together what ``…
  openalex Ralf Der 2016-01-13 置信度 0.80 Hebbian theoryComputer scienceArtificial intelligenceChainingMechanism (biology)
• Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
  The state of an object reflects its current status or condition and is important for a robot's task planning and manipulation. However, detecting an object's state and generating a state-sensitive plan for robots is challenging. Recently, pre-trained Large Lan…
  openalex Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu 等 2024-06-14 置信度 0.84 Task (project management)Computer scienceObject (grammar)State (computer science)Artificial intelligence
• Body Space in Social Interactions: A Comparison of Reaching and Comfort Distance in Immersive Virtual Reality
  BACKGROUND: Do peripersonal space for acting on objects and interpersonal space for interacting with con-specifics share common mechanisms and reflect the social valence of stimuli? To answer this question, we investigated whether these spaces refer to a simil…
  openalex Tina Iachini, Yann Coello, Francesca Frassinetti, Gennaro Ruggiero 2014-11-18 置信度 0.80 Embodied cognitionValence (chemistry)Interpersonal communicationPsychologySpace (punctuation)
• Use of tactile feedback to control exploratory movements to characterize object compliance
  Humans have been shown to be good at using active touch to perceive subtle differences in compliance. They tend to use highly stereotypical exploratory strategies, such as applying normal force to a surface. We developed similar exploratory and perceptual algo…
  openalex Zhe Su, Jeremy A. Fishel, Tomonori YAMAMOTO, Gerald E. Loeb 等 2012-07-26 置信度 0.80 Tactile sensorComputer scienceComputer visionArtificial intelligenceHaptic technology
• Modeling disinhibition within a layered structure of the LGMD neuron
  Due to their relatively simple nervous system, insects are an excellent way through which we can investigate how visual information is acquired and processed in order to trigger specific behaviours, as flight stabilization, flying speed adaptation, collision a…
  openalex Ana Silva, Cristina P. Santos 2013-08-01 置信度 0.80 Collision avoidanceComputer scienceArtificial intelligenceFilter (signal processing)Computer vision
• Cognitive and motor compliance in intentional human-robot interaction
  Embodiment and subjective experience in humanrobot interaction are important aspects to consider when studying both natural cognition and adaptive robotics to human environments. Although several researches have focused on nonverbal communication and collabora…
  openalex Hendry Ferreira Chame, Jun Tani 2020-05-01 置信度 0.82 CognitionHumanoid robotCompliance (psychology)IntentionalityPsychology
• Neurally-inspired robotic controllers implemented on neuromorphic hardware
  Neurorobotics aims to use models of biological neural systems to design efficient and adaptive robotic controllers.For complex, perception-driven behaviors, such neuronal controllers require substantial computational time and resources when simulated in softwa…
  openalex Moritz B. Milde, Dora Sumislawska, Yulia Sandamirskaya, Giaocomo Indiveri 2016-10-22 置信度 0.80 Neuromorphic engineeringComputer scienceComputer hardwareArtificial intelligenceRobotics
• 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 0.80 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 0.82 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 0.64 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 0.82 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 0.71 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 0.62 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 0.80 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 0.93 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 0.84 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 0.84 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 0.82 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 0.82 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 0.73 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 0.80 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 0.80 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 0.80 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 0.78 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 0.64 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 0.80 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 0.78 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 0.82 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 0.82 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 0.80 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 0.84 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 0.68 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 0.82 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 0.80 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 0.82 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 0.80 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 0.73 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 0.73 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 0.73 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 0.75 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 0.80 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 0.74 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 0.82 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 0.80 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 0.80 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 0.73 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 0.78 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 0.78 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 0.82 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 0.76 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 0.80 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 0.78 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 0.80 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 0.80 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 0.80 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 0.80 GazeArtificial intelligenceComputer visionComputer scienceFixation (population genetics)