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• Neuromorphic Artificial Touch for Categorization of Naturalistic Textures
  We implemented neuromorphic artificial touch and emulated the firing behavior of mechanoreceptors by injecting the raw outputs of a biomimetic tactile sensor into an Izhikevich neuronal model. Naturalistic textures were evaluated with a passive touch protocol.…
  openalex Udaya Bhaskar Rongala, Alberto Mazzoni, Calogero Maria Oddo 2015-09-10 置信度 0.72 Neuromorphic engineeringSpike (software development)Computer scienceArtificial intelligenceCategorization
• From Biological to Synthetic Neurorobotics Approaches to Understanding the Structure Essential to Consciousness (Part 2)
  This paper reviews research in “predictive coding” that ultimately provides a platform for testing competing theses about specific dynamics inherent in consciousness embodied in both biological and artificial systems.
  openalex Jun Tani, Jeff White 2016-01-01 置信度 0.72 ConsciousnessEpistemologyCognitive sciencePsychologyManagement science
• The why, what, where, when and how of goal-directed choice: neuronal and computational principles
  The central problems that goal-directed animals must solve are: 'What do I need and Why, Where and When can this be obtained, and How do I get it?' or the H4W problem. Here, we elucidate the principles underlying the neuronal solutions to H4W using a combinati…
  openalex Paul F. M. J. Verschure, Cyriel M. A. Pennartz, Giovanni Pezzulo 2014-09-30 置信度 0.72 Computer scienceAction selectionCognitionWorking memoryPrefrontal cortex
• Artificial multisensory integration nervous system with haptic and iconic perception behaviors
  openalex Xiaomin Wu, Enlong Li, Yaqian Liu, Weikun Lin 等 2021-03-18 置信度 0.72 Neuromorphic engineeringMultisensory integrationPerceptionStimulus modalityComputer science
• From Biological to Synthetic Neurorobotics Approaches to Understanding the Structure Essential to Consciousness (Part 3)
  Direct neurological and especially imaging-driven investigations into the structures essential to naturally occurring cognitive systems in their development and operation have motivated broadening interest in the potential for artificial consciousness modeled …
  openalex Jeffrey White 2017-01-01 置信度 0.72 ConsciousnessCognitive scienceEpistemologyComputer sciencePsychology
• Optoelectronic Synapses Based on MXene/Violet Phosphorus van der Waals Heterojunctions for Visual-Olfactory Crossmodal Perception
  Abstract The crossmodal interaction of different senses, which is an important basis for learning and memory in the human brain, is highly desired to be mimicked at the device level for developing neuromorphic crossmodal perception, but related researches are …
  pubmed Hailong Ma, Huajing Fang, Xinxing Xie, Yanming Liu 等 2024 Feb 1 置信度 0.82 CrossmodalNeuromorphic engineeringOptoelectronicsNeuroscienceMaterials science
• Causal networks in simulated neural systems
  openalex Anil K. Seth 2007-10-19 置信度 0.72 Computer scienceArtificial neural networkNeural systemArtificial intelligenceData science
• 2P2-M01 Development of Infant Robot with Musculoskeletal and Skin System(Neurorobotics & Cognitive Robotics)
  The basis of human motor skills and cognitive abilities is acquired during its infancy. The mechanism of the development, however, is as yet a big mystery. We have developed a musculoskeletal infant robot driven by pneumatic actuators in order to clarify the r…
  openalex Kenichi Narioka, Soichiro MORIYAMA, Koh Hosoda 2011-01-01 置信度 0.72 RoboticsArtificial intelligenceRobotCognitionMechanism (biology)
• 2P2-L11 Design of Brain-machine Interface Using Near-infrared Spectroscopy : Study on learning condition for improvement of classification performance(Neurorobotics & Cognitive Robotics)
  Recently, brain-machine interface (BMI) systems is focused in the robotics and medical sciences. In this research we discuss a design problem of a BMI system using near-infrared spectroscopy(NIRS) and developed LVQ-based classifier for several patterns of cere…
  openalex Tomotaka Ito, Tokihisa Hirano, Takafumi Sameshima, Yoshihiro Mitsui 等 2011-01-01 置信度 0.72 Artificial intelligenceRoboticsBrain–computer interfaceClassifier (UML)Cognition
• Exploring Robotic Minds
  Abstract How do “minds” work? In Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena, Professor Jun Tani reviews key experiments within his own pioneering neurorobotics research project aimed at answering this fund…
  openalex Jun Tani 2016-11-17 置信度 0.72 ConsciousnessCognitive scienceComputer sciencePerceptionAction (physics)
• An Artificial Reflex Arc That Perceives Afferent Visual and Tactile Information and Controls Efferent Muscular Actions
  Neural perception and action-inspired electronics is becoming important for interactive human-machine interfaces and intelligent robots. A system that implements neuromorphic environmental information coding, synaptic signal processing, and motion control is d…
  openalex Lin Sun, Yi Du, Haiyang Yu, Huanhuan Wei 等 2022-01-01 置信度 0.72 Reflex arcEfferentReflexNeuroscienceSomatosensory system
• Artificial tactile peripheral nervous system supported by self-powered transducers
  The tactile peripheral nervous system innervating human hands, which is essential for sensitive haptic exploration and dexterous object manipulation, features overlapped receptive fields in the skin, arborization of peripheral neurons and many-to-many synaptic…
  openalex Libo Chen, Chenyu Wen, Shi‐Li Zhang, Zhong Lin Wang 等 2020-12-13 置信度 0.72 Neuromorphic engineeringNervous systemComputer sciencePeripheral nervous systemNeuroscience
• Self-powered high-sensitivity sensory memory actuated by triboelectric sensory receptor for real-time neuromorphic computing
  openalex Yaqian Liu, Wenyu Yang, Yujie Yan, Xiaomin Wu 等 2020-05-14 置信度 0.72 Neuromorphic engineeringSensory systemTriboelectric effectComputer scienceMemristor
• Principles of gait encoding in the subthalamic nucleus of people with Parkinson’s disease
  Disruption of subthalamic nucleus dynamics in Parkinson's disease leads to impairments during walking. Here, we aimed to uncover the principles through which the subthalamic nucleus encodes functional and dysfunctional walking in people with Parkinson's diseas…
  openalex Yohann Thenaisie, Kyuhwa Lee, Charlotte Moerman, Stefano Scafa 等 2022-09-07 置信度 0.72 Subthalamic nucleusParkinson's diseasePhysical medicine and rehabilitationGaitNeuroscience
• Integrative Biomimetics of Autonomous Hexapedal Locomotion
  Despite substantial advances in many different fields of neurorobotics in general, and biomimetic robots in particular, a key challenge is the integration of concepts: to collate and combine research on disparate and conceptually disjunct research areas in the…
  openalex Volker Dürr, Paolo Arena, Holk Cruse, Chris J. Dallmann 等 2019-10-23 置信度 0.72 BiomimeticsComputer scienceHuman–computer interactionArtificial intelligence
• VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
  We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate a real robotic body (iCub) when performing different vestibulo-ocular reflex (VOR) tasks. The spiking neural network computation, including event- and ti…
  openalex Francisco Naveros, Niceto R. Luque, Eduardo Ros, Angelo Arleo 2019-02-27 置信度 0.72 iCubComputer scienceSpiking neural networkArtificial neural networkModels of neural computation
• Multimodal robot-assisted English writing guidance and error correction with reinforcement learning
  Introduction With the development of globalization and the increasing importance of English in international communication, effectively improving English writing skills has become a key focus in language learning. Traditional methods for English writing guidan…
  crossref Ni Wang 2024-11-20T06:28:11Z 置信度 0.70
• Immersive interfaces for clinical applications: current status and future perspective
  Digital immersive technologies have become increasingly prominent in clinical research and practice, including medical communication and technical education, serious games for health, psychotherapy, and interfaces for neurorehabilitation. The worldwide enthusi…
  crossref Naïg Chenais, Arno Görgen 2024-11-27T06:41:45Z 置信度 0.70
• Neurorobotics for Neurorehabilitation: Clinical Applications and Future Research Direction
  openalex Titouan Brossy, Natalija Secerovic, Stanisa Raspopovic, Staniša Raspopović 2026-01-01 置信度 0.72 PersonalizationSoftware deploymentComputer scienceNeurorehabilitationToolbox
• Rethinking 1D convolution for lightweight semantic segmentation
  Lightweight semantic segmentation promotes the application of semantic segmentation in tiny devices. The existing lightweight semantic segmentation network (LSNet) has the problems of low precision and a large number of parameters. In response to the above pro…
  pubmed Chunyu Zhang, Fang Xu, Chengdong Wu, Chenglong Xu 等 2023 置信度 0.82
• Learning Transferable Push Manipulation Skills in Novel Contexts
  This paper is concerned with learning transferable forward models for push manipulation that can be applying to novel contexts and how to improve the quality of prediction when critical information is available. We propose to learn a parametric internal model …
  crossref Rhys Howard, Claudio Zito 2021-06-07T04:53:30Z 置信度 0.70
• Unsupervised Facial Action Representation Learning by Temporal Prediction
  Due to the cumbersome and expensive data collection process, facial action unit (AU) datasets are generally much smaller in scale than those in other computer vision fields, resulting in overfitting AU detection models trained on insufficient AU images. Despit…
  crossref Chongwen Wang, Zicheng Wang 2022-03-16T05:23:32Z 置信度 0.70
• Robotic and Virtual Reality BCIs Using Spatial Tactile and Auditory Oddball Paradigms
  The paper reviews nine robotic and virtual reality (VR) brain-computer interface (BCI) projects developed by the author, in collaboration with his graduate students, within the BCI-lab research group during its association with University of Tsukuba, Japan. Th…
  crossref Tomasz M. Rutkowski 2016-12-05T22:37:19Z 置信度 0.70
• Bilateral gain control; an “innate predisposition” for all sorts of things
  Empirical studies have revealed remarkable perceptual organization in neonates. Newborn behavioral distinctions have often been interpreted as implying functionally specific modular adaptations, and are widely cited as evidence supporting the nativist agenda. …
  crossref Nicholas Wilkinson, Giorgio Metta 2014-02-25T09:10:05Z 置信度 0.70
• Editorial: Privacy-Preserving Deep Heterogeneous View Perception for Data Learning
  Privacy-Preserving Deep Heterogeneous View Perception for Data LearningDeep learning has promoted the development of cutting-edge robotic systems with the ability to automatically mine concepts from complex tasks in an open-ended manner.Many novel algorithms a…
  crossref Peng Li 2022-03-20T10:42:17Z 置信度 0.70
• Biologically-inspired adaptive obstacle negotiation behavior of hexapod robots
  Neurobiological studies have shown that insects are able to adapt leg movements and posture for obstacle negotiation in changing environments. Moreover, the distance to an obstacle where an insect begins to climb is found to be a major parameter for successful…
  crossref Dennis Goldschmidt, Florentin Wörgötter, Poramate Manoonpong 2014-01-29T08:26:01Z 置信度 0.70
• Everyday robotic action: lessons from human action control
  Robots are increasingly capable of performing everyday human activities such as cooking, cleaning, and doing the laundry. This requires the real-time planning and execution of complex, temporally extended sequential actions under high degrees of uncertainty, w…
  crossref Roy de Kleijn, George Kachergis, Bernhard Hommel 2014-03-17T13:07:03Z 置信度 0.70
• Grounding the Meanings in Sensorimotor Behavior using Reinforcement Learning
  The recent outburst of interest in cognitive developmental robotics is fueled by the ambition to propose ecologically plausible mechanisms of how, among other things, a learning agent/robot could ground linguistic meanings in its sensorimotor behavior. Along t…
  crossref Igor Farkaš, Tomáš Malík, Kristína Rebrová 2012-02-29T05:33:30Z 置信度 0.70
• Simulated mental imagery for robotic task planning
  Traditional AI-planning methods for task planning in robotics require a symbolically encoded domain description. While powerful in well-defined scenarios, as well as human-interpretable, setting this up requires a substantial effort. Different from this, most …
  pubmed Shijia Li, Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter 等 2023 置信度 0.82
• Multimodal robotic music performance art based on GRU-GoogLeNet model fusing audiovisual perception
  The field of multimodal robotic musical performing arts has garnered significant interest due to its innovative potential. Conventional robots face limitations in understanding emotions and artistic expression in musical performances. Therefore, this paper exp…
  pubmed Lu Wang, Wang L 2023 置信度 0.82
• Corrigendum: Facial expression recognition method based on PSA—YOLO network
  [This corrects the article DOI: 10.3389/fnbot.2022.1057983.].
  pubmed Ruoling Ma, Ruoyuan Zhang, Ma R, Zhang R 2023 置信度 0.82
• Dual Attention Triplet Hashing Network for Image Retrieval
  In recent years, learning-based hashing techniques have proven to be efficient for large-scale image retrieval. However, since most of the hash codes learned by deep hashing methods contain repetitive and correlated information, there are some limitations. In …
  crossref Zhukai Jiang, Zhichao Lian, Jinping Wang 2021-10-25T16:45:23Z 置信度 0.70
• An Adaptive Neural Mechanism for Acoustic Motion Perception with Varying Sparsity
  Biological motion-sensitive neural circuits are quite adept in perceiving the relative motion of a relevant stimulus. Motion perception is a fundamental ability in neural sensory processing and crucial in target tracking tasks. Tracking a stimulus entails the …
  crossref Danish Shaikh, Poramate Manoonpong 2017-03-09T03:51:21Z 置信度 0.70
• DeepMatch: Toward Lightweight in Point Cloud Registration
  From source to target, point cloud registration solves for a rigid body transformation that aligns the two point clouds. IterativeClosest Point (ICP) and other traditional algorithms require a long registration time and are prone to fall into local optima. Lea…
  crossref Lizhe Qi, Fuwang Wu, Zuhao Ge, Yuquan Sun 2022-07-18T05:31:17Z 置信度 0.70
• 3P2-P06 A Computational Model of Early Development of Predictive Eye Movement(Neurorobotics & Cognitive Robotics)
  In this work, we propose a computational model employing a recurrent neural network for modeling the developmental process of action prediction ability. Our hypothesis is that temporal memory is a driving force mechanism for the development of this ability. Wh…
  openalex Jorge Luis Copete, Yukie Nagai, Minoru Asada 2014-01-01 置信度 0.72 Artificial intelligenceConsistency (knowledge bases)CognitionComputational modelComputer science
• Brain-inspired semantic data augmentation for multi-style images
  Data augmentation is an effective technique for automatically expanding training data in deep learning. Brain-inspired methods are approaches that draw inspiration from the functionality and structure of the human brain and apply these mechanisms and principle…
  pubmed Wei Wang, Zhaowei Shang, Chengxing Li, Wang W 等 2024 置信度 0.82
• Vahagn: VisuAl Haptic Attention Gate Net for slip detection
  Introduction Slip detection is crucial for achieving stable grasping and subsequent operational tasks. A grasp action is a continuous process that requires information from multiple sources. The success of a specific grasping maneuver is contingent upon the co…
  crossref Jinlin Wang, Yulong Ji, Hongyu Yang 2024-11-06T01:12:28Z 置信度 0.70
• Which is the best intrinsic motivation signal for learning multiple skills?
  Humans and other biological agents are able to autonomously learn and cache different skills in the absence of any biological pressure or any assigned task. In this respect, Intrinsic Motivations (i.e., motivations not connected to reward-related stimuli) play…
  crossref Vieri G. Santucci, Gianluca Baldassarre, Marco Mirolli 2013-11-12T08:21:36Z 置信度 0.70
• Editorial: Cognitive inspired aspects of robot learning
  pubmed Francisco Cruz, Miguel A. Solis, Nicolás Navarro-Guerrero, Cruz F 等 2023 置信度 0.82
• Sentence comprehension: effectors and goals, self and others. An overview of experiments and implications for robotics
  According to theories referring to embodied and grounded cognition (Barsalou, 2008), language comprehension encompasses an embodied simulation of actions. The neural underpinnings of this simulation could be found in wide neural circuits that involve canonical…
  crossref Anna M. Borghi 2010-06-16T07:08:30Z 置信度 0.70
• Player detection method based on scale attention and scale equalization algorithm
  Introduction Object detection methods for team ball games players often struggle due to their reliance on dataset scale statistics, resulting in missed detections for players with smaller bounding boxes and reduced accuracy for larger bounding boxes. Methods T…
  pubmed Pan Zhang, Jiangtao Luo, Zhang P, Luo J 2023 置信度 0.82
• Harmonizing minds and machines: survey on transformative power of machine learning in music
  This survey explores the symbiotic relationship between Machine Learning (ML) and music, focusing on the transformative role of Artificial Intelligence (AI) in the musical sphere. Beginning with a historical contextualization of the intertwined trajectories of…
  pubmed Jing Liang, Liang J 2023 置信度 0.82
• Predicting task performance for intelligent human-machine interactions
  Human-machine teams are deployed in a diverse range of task environments and paradigms that may have high failure costs (e.g., nuclear power plants). It is critical that the machine team member can interact with the human effectively without reducing task perf…
  crossref Jamison Heard, Prakash Baskaran, Julie A. Adams 2022-09-13T04:46:13Z 置信度 0.70
• Editorial: Neuro-derived control for interactive technology on unmanned robot systems
  pubmed Jiehao Li, Chenguang Yang, Li J, Yang C 2024 置信度 0.82
• Editorial: Bioinspired Design and Control of Robots With Intrinsic Compliance
  EDITORIAL article Front. Neurorobot., 17 September 2020 | https://doi.org/10.3389/fnbot.2020.00064
  crossref Yongping Pan, Zhao Guo, Dongbing Gu 2020-09-17T07:18:14Z 置信度 0.70
• Sports-ACtrans Net: research on multimodal robotic sports action recognition driven via ST-GCN
  Introduction Accurately recognizing and understanding human motion actions presents a key challenge in the development of intelligent sports robots. Traditional methods often encounter significant drawbacks, such as high computational resource requirements and…
  crossref Qi Lu 2024-10-11T05:10:19Z 置信度 0.70
• Efficient recognition of dynamic user emotions based on deep neural networks
  The key issue at this stage is how to mine the large amount of valuable user sentiment information from the massive amount of web text and create a suitable dynamic user text sentiment analysis technique. Hence, this study offers a writing feature abstraction …
  crossref Qi Zheng 2022-09-29T17:19:00Z 置信度 0.70
• Editorial: Novel methods in embodied and enactive AI and cognition
  pubmed Fabio Bonsignorio, Bonsignorio F 2023 置信度 0.82
• Toward Building Hybrid Biological/in silico Neural Networks for Motor Neuroprosthetic Control
  In this article, we introduce the Bioinspired Neuroprosthetic Design Environment (BNDE) as a practical platform for the development of novel brain-machine interface (BMI) controllers, which are based on spiking model neurons. We built the BNDE around a hard re…
  crossref Mehmet Kocaturk, Halil Ozcan Gulcur, Resit Canbeyli 2015-08-11T08:50:14Z 置信度 0.70
• Design, Implementation, and Evaluation of a Variable Stiffness Transradial Hand Prosthesis
  We present the design, implementation, and experimental evaluation of a low-cost, customizable, easy-to-use transradial hand prosthesis capable of adapting its compliance. Variable stiffness actuation (VSA) of the prosthesis is based on antagonistically arrang…
  crossref Elif Hocaoglu, Volkan Patoglu 2022-03-10T12:49:28Z 置信度 0.70
• Continual Sequence Modeling With Predictive Coding
  Recurrent neural networks (RNNs) have been proved very successful at modeling sequential data such as language or motions. However, these successes rely on the use of the backpropagation through time (BPTT) algorithm, batch training, and the hypothesis that al…
  crossref Louis Annabi, Alexandre Pitti, Mathias Quoy 2022-05-24T10:58:14Z 置信度 0.70
• Generating spatiotemporal joint torque patterns from dynamical synchronization of distributed pattern generators
  Pattern generators found in the spinal cord are no more seen as simple rhythmic oscillators for motion control. Indeed, they achieve flexible and dynamical coordination in interaction with the body and the environment dynamics giving to rise motor synergies. D…
  crossref Alexandre Pitti 2009-09-16T06:42:13Z 置信度 0.70
• ニューロロボティクス（Neurorobotics）
  脳から取り出した神経細胞を分散培養して回路網を自律的に再形成させ，これにセンサとアクチュエーターを備えたロボットの身体を付与して環境と相互作用するようにしたシステムを，ハイブリッド型のニューロロボットという．ロボットのみならず，電子機器と神経回路網・脳とを接続して，環境からの入力を電気刺激として神経回路網に入力し，神経回路網の応答を出力として取り出す神経－機械ハイブリッドシステムを構築し，動作原理の解明・入出力の最適化，ならびにこれらを用いた人工的な知性システムの実現を目指す融合的学問分野をニューロロボティクスとい…
  openalex 工藤 卓 2016-06-15 置信度 0.72 Chemistry
• Unsupervised learning of reflexive and action-based affordances to model adaptive navigational behavior
  Here we introduce a cognitive model capable to model a variety of behavioral domains and apply it to a navigational task. We used place cells as sensory representation, such that the cells' place fields divided the environment into discrete states. The robot l…
  crossref Daniel Weiller 2010-05-12T08:52:18Z 置信度 0.70
• Editorial: Tactile Intelligence in Robots
  Tactile intelligence has become increasingly important to the development of intelligent robots capable of dexterous skills close to humans. Recent advances in tactile sensors foster the implementation of artificial tactile sensation in robots, where tactile i…
  crossref Sung-Phil Kim, Christian Wallraven, Vincent Duchaine 2020-09-23T08:35:47Z 置信度 0.70
• Learning a spatial-temporal texture transformer network for video inpainting
  We study video inpainting, which aims to recover realistic textures from damaged frames. Recent progress has been made by taking other frames as references so that relevant textures can be transferred to damaged frames. However, existing video inpainting appro…
  pubmed Pengsen Ma, Tao Xue, Ma P, Xue T 2022 置信度 0.82
• Neurorobotics: Opening Novel Lines of Communication Between Populations of Single Neurons and External Devices
  openalex Karen A. Moxon 2012-11-09 置信度 0.72 NeuroscienceNeuroprostheticsSensory systemComputer scienceInterface (matter)
• Mobip: a lightweight model for driving perception using MobileNet
  The visual perception model is critical to autonomous driving systems. It provides the information necessary for self-driving cars to make decisions in traffic scenes. We propose a lightweight multi-task network (Mobip) to simultaneously perform traffic object…
  pubmed Minghui Ye, Jinhua Zhang, Ye M, Zhang J 2023 置信度 0.82
• When neuro-robots go wrong: A review
  Neuro-robots are a class of autonomous machines that, in their architecture, mimic aspects of the human brain and cognition. As such, they represent unique artifacts created by humans based on human understanding of healthy human brains. European Union’s Conve…
  pubmed Muhammad Salar Khan, James L. Olds, Khan MS, Olds JL 2023 置信度 0.82
• How much time has passed? Ask your heart
  Internal signals like one's heartbeats are centrally processed via specific pathways and both their neural representations as well as their conscious perception (interoception) provide key information for many cognitive processes. Recent empirical findings pro…
  crossref Olga Pollatos, Azamat Yeldesbay, Arkady Pikovsky, Michael Rosenblum 2014-04-09T08:28:42Z 置信度 0.70
• On the Role of Sensory Feedbacks in Rowat–Selverston CPG to Improve Robot Legged Locomotion
  This paper presents the use of Rowat and Selverston-type of central pattern generator (CPG) to control locomotion. It focuses on the role of afferent exteroceptive and proprioceptive signals in the dynamic phase synchronization in CPG legged robots. The sensor…
  crossref Elmira Amrollah, Patrick Henaff 2011-01-06T06:55:19Z 置信度 0.70
• Human's Capability to Discriminate Spatial Forces at the Big Toe
  A key factor for reliable object manipulation is the tactile information provided by the skin of our hands. As this sensory information is so essential in our daily life it should also be provided during teleoperation of robotic devices or in the control of my…
  crossref Annette Hagengruber, Hannes Höppner, Jörn Vogel 2018-04-10T04:25:15Z 置信度 0.70
• Abnormal behavior capture of video dynamic target based on 3D convolutional neural network
  The use of computers to understand video content can accurately and quickly label various videos. Behavior recognition technology can help users filter the video by screening the content. However, this calculation mode, which is only sensitive to the features …
  pubmed Fei Chen, Chen F 2022 置信度 0.82
• Learning Semantics of Gestural Instructions for Human-Robot Collaboration
  Designed to work safely alongside humans, collaborative robots need to be capable partners in human-robot teams. Besides having key capabilities like detecting gestures, recognizing objects, grasping them, and handing them over, these robots need to seamlessly…
  crossref Dadhichi Shukla, Özgür Erkent, Justus Piater 2018-03-19T04:25:57Z 置信度 0.70
• Combining Vibrotactile Feedback with Volitional Myoelectric Control for Robotic Transtibial Prostheses
  In recent years, the development of myoelectric control for robotic lower-limb prostheses makes it possible for amputee users to volitionally control prosthetic joints. However, the human-centered control loop is not closed due to the lack of sufficient feedba…
  crossref Baojun Chen, Yanggang Feng, Qining Wang 2016-08-22T11:41:04Z 置信度 0.70
• Architectural planning robot driven by unsupervised learning for space optimization
  Introduction Space optimization in architectural planning is a crucial task for maximizing functionality and improving user experience in built environments. Traditional approaches often rely on manual planning or supervised learning techniques, which can be l…
  crossref Zhe Zhang, Yuchun Zheng 2025-01-03T06:50:15Z 置信度 0.70
• TFE: A Transformer Architecture for Occlusion Aware Facial Expression Recognition
  Facial expression recognition (FER) in uncontrolled environment is challenging due to various un-constrained conditions. Although existing deep learning-based FER approaches have been quite promising in recognizing frontal faces, they still struggle to accurat…
  crossref Jixun Gao, Yuanyuan Zhao 2021-10-25T03:04:30Z 置信度 0.70
• Learning joints relation graphs for video action recognition
  Previous video action recognition mainly focuses on extracting spatial and temporal features from videos or capturing physical dependencies among joints. The relation between joints is often ignored. Modeling the relation between joints is important for action…
  pubmed Xiaodong Liu, Huating Xu, Miao Wang, Liu X 等 2022 置信度 0.82
• Editorial: Biology-Inspired Engineering and Engineering-Inspired Biology
  EDITORIAL article Front. Neurorobot., 13 November 2020 Volume 14 - 2020 | https://doi.org/10.3389/fnbot.2020.614683
  crossref Jan-Matthias Braun, Poramate Manoonpong, Xiaofeng Xiong 2020-11-13T04:52:32Z 置信度 0.70
• Approaches for retraining sEMG classifiers for upper-limb prostheses
  Introduction Abandonment rates for myoelectric upper limb prostheses can reach 44%, negatively affecting quality of life and increasing the risk of injury due to compensatory movements. Traditional myoelectric prostheses rely on conventional signal processing …
  crossref Tom Donnelly, Elena Seminati, Benjamin Metcalfe 2025-10-01T05:49:32Z 置信度 0.70
• Sensor-Based Control for Collaborative Robots: Fundamentals, Challenges, and Opportunities
  The objective of this paper is to present a systematic review of existing sensor-based control methodologies for applications that involve direct interaction between humans and robots, in the form of either physical collaboration or safe coexistence. To this e…
  crossref Andrea Cherubini, David Navarro-Alarcon 2021-01-07T04:33:57Z 置信度 0.70
• Toward a Gecko-Inspired, Climbing Soft Robot
  In this paper, we present a gecko-inspired soft robot that is able to climb inclined, flat surfaces. By changing the design of the previous version, the energy consumption of the robot could be reduced, and at the same time, its ability to climb and its speed …
  crossref Lars Schiller, Arthur Seibel, Josef Schlattmann 2019-12-19T04:41:56Z 置信度 0.70
• Facial expression recognition method based on PSA—YOLO network
  In order to improve the recognition speed and accuracy of face expression recognition, we propose a face expression recognition method based on PSA-YOLO (Pyramids Squeeze Attention-You Only Look Once). Based on CSPDarknet53, the Focus structure and pyramid com…
  pubmed Ruoling Ma, Ruoyuan Zhang, Zhang R, Ma R 2022 置信度 0.82
• Neurorobotics
  This chapter is not an exhaustive historical record of research in the field of building robots with AI that move and interact in the real world. Rather, it is a sample of current ideas in this field. Note, the term “embodied” is often used to refer to a physi…
  openalex Eitan Michael Azoff 2024-08-02 置信度 0.72 Computer science
• Progressive Multi-Scale Vision Transformer for Facial Action Unit Detection
  Facial action unit (AU) detection is an important task in affective computing and has attracted extensive attention in the field of computer vision and artificial intelligence. Previous studies for AU detection usually encode complex regional feature represent…
  crossref Chongwen Wang, Zicheng Wang 2022-01-12T18:40:36Z 置信度 0.70
• A Schema-Based Robot Controller Complying With the Constraints of Biological Systems
  This article reports on the early stages of conception of a robotic control system based on Piaget's schemas theory. Beyond some initial experimental results, we question the scientific method used in developmental robotics (DevRob) and argue that it is premat…
  crossref Fabien Lagriffoul 2022-05-09T05:18:57Z 置信度 0.70
• HR-NeRF: advancing realism and accuracy in highlight scene representation
  NeRF and its variants excel in novel view synthesis but struggle with scenes featuring specular highlights. To address this limitation, we introduce the Highlight Recovery Network (HRNet), a new architecture that enhances NeRF's ability to capture specular sce…
  europepmc Shufan Dai, Shanqin Wang 2025 置信度 0.80
• Editorial: Engineering Applications of Neurocomputing
  EDITORIAL article Front. Neurorobot., 28 January 2022 Volume 16 - 2022 | https://doi.org/10.3389/fnbot.2022.839505
  crossref Long Wang, Zhe Song, Zijun Zhang, Chao Huang 2022-01-28T09:34:47Z 置信度 0.70
• User recommendation method integrating hierarchical graph attention network with multimodal knowledge graph
  In common graph neural network (GNN), although incorporating social network information effectively utilizes interactions between users, it often overlooks the deeper semantic relationships between items and fails to integrate visual and textual feature inform…
  crossref Xiaofei Han, Xin Dou 2025-06-18T05:47:44Z 置信度 0.70
• Editorial: EEG-based assistive robotics for rehabilitation
  EDITORIAL article Front. Neurorobot., 14 July 2022 https://doi.org/10.3389/fnbot.2022.952495
  crossref Wajid Mumtaz, Hafeez Ullah Amin, Abdul Qayyum, Ahmad Rauf Subhani 2022-07-14T15:59:41Z 置信度 0.70
• Research on the dynamic viseme of the lip shape based on facial motion capture technology
  In the study of articulatory phonetics, lip shape and tongue position is the focus of linguists. In order to reveal the physiological characteristics of the lip shape during pronunciation, the author takes the Tibetan Xiahe dialect as the research object and d…
  crossref Shengyin Zhu 2022-09-26T09:22:16Z 置信度 0.70
• Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network
  Convolutional neural networks (CNN) have enabled significant improvements in pedestrian detection owing to the strong representation ability of the CNN features. However, it is generally difficult to reduce false positives on hard negative samples such as tree…
  crossref Tianrui Liu, Tania Stathaki 2018-10-05T04:15:18Z 置信度 0.70
• 1P1-B11 Analysis of Information Measure for Sensory Motor Contingency toward Modeling Social Development(Neurorobotics & Cognitive Robotics)
  In this research, we propose a developmental learning mechanism for social interaction of robot with human. We focus on face-to-face interaction between a caregiver and an infant, and try to produce a stochastic model for obtaining social skills based on infor…
  openalex Hamed MAHZOON, Yuichiro YOSHIKAWA, Hidenobu SUMIOKA, Hiroshi ISHIGURO 等 2013-01-01 置信度 0.72 RobotJoint attentionComputer scienceArtificial intelligenceDevelopmental robotics
• Building an Affordances Map With Interactive Perception
  Robots need to understand their environment to perform their task. If it is possible to pre-program a visual scene analysis process in closed environments, robots operating in an open environment would benefit from the ability to learn it through their interac…
  crossref Léni K. Le Goff, Oussama Yaakoubi, Alexandre Coninx, Stéphane Doncieux 2022-05-10T10:06:16Z 置信度 0.70
• Effects of social intention on movement kinematics in cooperative actions
  Optimal control models of biological movements are used to account for those internal variables that constrain voluntary goal-directed actions. They, however, do not take into account external environmental constraints as those associated to social intention. …
  crossref François Quesque, Daniel Lewkowicz, Yvonne N. Delevoye-Turrell, Yann Coello 2013-10-04T07:26:28Z 置信度 0.70
• Intuitive and versatile bionic legs: a perspective on volitional control
  Active lower limb prostheses show large potential to offer energetic, balance, and versatility improvements to users when compared to passive and semi-active devices. Still, their control remains a major development challenge, with many different approaches ex…
  crossref Matthias Voß, Anne D. Koelewijn, Philipp Beckerle 2024-06-21T12:25:17Z 置信度 0.70
• Series Elastic Behavior of Biarticular Muscle-Tendon Structure in a Robotic Leg
  We investigate the role of lower leg muscle-tendon structures in providing serial elastic behavior to the hip actuator. We present a leg design with physical elastic elements in leg angle and virtual leg axis direction, and its impact onto energy efficient leg…
  crossref Felix Ruppert, Alexander Badri-Spröwitz 2019-08-13T01:16:27Z 置信度 0.70
• Learning to Predict Perceptual Distributions of Haptic Adjectives
  When humans touch an object with their fingertips, they can immediately describe its tactile properties using haptic adjectives, such as hardness and roughness; however, human perception is subjective and noisy, with significant variation across individuals an…
  crossref Benjamin A. Richardson, Katherine J. Kuchenbecker 2020-02-06T05:07:05Z 置信度 0.70
• Grounding Context in Embodied Cognitive Robotics
  Biological agents are context-dependent systems that exhibit behavioral flexibility. The internal and external information agents process, their actions, and emotions are all grounded in the context within which they are situated. However, in the field of cogn…
  crossref Diana Valenzo, Alejandra Ciria, Guido Schillaci, Bruno Lara 2022-06-15T08:09:58Z 置信度 0.70
• A Comparative Analysis of Three Non-Invasive Human-Machine Interfaces for the Disabled
  In the framework of rehabilitation robotics, a major role is played by the human-machine interface (HMI) used to gather the patient's intent from biological signals, and convert them into control signals for the robotic artifact. Surprisingly, decades of resea…
  openalex Vikram Ravindra, Claudio Castellini 2014-10-27 置信度 0.72 Computer scienceContext (archaeology)RoboticsArtificial intelligenceWearable computer
• Editorial: Neural plasticity for rich and uncertain robotic information streams
  This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original p…
  crossref Andrea Soltoggio, Frank van der Velde 2015-10-27T09:33:59Z 置信度 0.70
• Evaluating Knee Mechanisms for Assistive Devices
  State-of-the-art knee braces use a polycentric mechanism with a predefined locus of the instantaneous center of rotation (centrode) and most exoskeleton devices use a knee mechanism with a single axis of rotation. However, human knees do not share a common cen…
  crossref Shawanee' Patrick, Namita Anil Kumar, Pilwon Hur 2022-05-30T15:18:43Z 置信度 0.70
• Trainable movement control using spikes and muscle-twitch dynamics
  The biological sensorimotor system is a source of inspiration for the design of neuromorphic ballistic control systems. A large portion of sensorimotor-inspired research focuses on the sensory encoding and information processing stages of the system. However, …
  europepmc Jordi Timmermans, Lambert Schomaker 2026 置信度 0.80
• Humanoids Learning to Walk: A Natural CPG-Actor-Critic Architecture
  The identification of learning mechanisms for locomotion has been the subject of much research for some time but many challenges remain. Dynamic systems theory (DST) offers a novel approach to humanoid learning through environmental interaction. Reinforcement …
  crossref Cai Li, Robert Lowe, Tom Ziemke 2013-04-08T05:05:53Z 置信度 0.70
• Interaction in Assistive Robotics: A Radical Constructivist Design Framework
  Despite decades of research, muscle-based control of assistive devices (myocontrol) is still unreliable; for instance upper-limb prostheses, each year more and more dexterous and human-like, still provide hardly enough functionality to justify their cost and t…
  crossref Marco C. Bettoni, Claudio Castellini 2021-06-09T07:31:42Z 置信度 0.70
• A New Way of Airline Traffic Prediction Based on GCN-LSTM
  With the development of society and the improvement of people's material level, more and more people like to travel by airplane. If we can predict the passenger flow of an airline in advance, it can be used as an important decision-making basis for its flight …
  crossref Jiangni Yu 2021-12-10T05:00:53Z 置信度 0.70
• Context-aware lightweight remote-sensing image super-resolution network
  In recent years, remote-sensing image super-resolution (RSISR) methods based on convolutional neural networks (CNNs) have achieved significant progress. However, the limited receptive field of the convolutional kernel in CNNs hinders the network's ability to e…
  pubmed Guangwen Peng, Minghong Xie, Liuyang Fang, Peng G 等 2023 置信度 0.82
• Editorial: Evolutionary computation-based machine learning and its applications for multi-robot systems
  pubmed Lianbo Ma, Ma L 2023 置信度 0.82
• Target-aware transformer tracking with hard occlusion instance generation
  Visual tracking is a crucial task in computer vision that has been applied in diverse fields. Recently, transformer architecture has been widely applied in visual tracking and has become a mainstream framework instead of the Siamese structure. Although transfo…
  pubmed Dingkun Xiao, Zhenzhong Wei, Guangjun Zhang, Xiao D 等 2023 置信度 0.82
• Face expression recognition based on NGO-BILSTM model
  Introduction Facial expression recognition has always been a hot topic in computer vision and artificial intelligence. In recent years, deep learning models have achieved good results in accurately recognizing facial expressions. BILSTM network is such a model…
  pubmed Jiarui Zhong, Tangxian Chen, Liuhan Yi, Zhong J 等 2023 置信度 0.82