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• A Neural Network Model for Learning 3D Object Representations Through Haptic Exploration
  Humans initially learn about objects through the sense of touch, in a process called “haptic exploration.” In this paper, we present a neural network model of this learning process. The model implements two key assumptions. The first is that haptic exploration…
  crossref Xiaogang Yan, Steven Mills, Alistair Knott 2021-03-25T05:35:07Z 置信度 0.70
• Swimtrans Net: a multimodal robotic system for swimming action recognition driven via Swin-Transformer
  Introduction Currently, using machine learning methods for precise analysis and improvement of swimming techniques holds significant research value and application prospects. The existing machine learning methods have improved the accuracy of action recognitio…
  crossref He Chen, Xiaoyu Yue 2024-09-24T05:10:33Z 置信度 0.70
• Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons
  The behavior and skills of living systems depend on the distributed control provided by specialized and highly recurrent neural networks. Learning and memory in these systems is mediated by a set of adaptation mechanisms, known collectively as neuronal plastic…
  crossref Hazem Toutounji, Frank Pasemann 2014-05-23T15:38:57Z 置信度 0.70
• A novel signal channel attention network for multi-modal emotion recognition
  Physiological signal recognition is crucial in emotion recognition, and recent advancements in multi-modal fusion have enabled the integration of various physiological signals for improved recognition tasks. However, current models for emotion recognition with…
  crossref Ziang Du, Xia Ye, Pujie Zhao 2024-09-11T05:12:59Z 置信度 0.70
• Learning adaptive reaching and pushing skills using contact information
  In this paper, we propose a deep reinforcement learning-based framework that enables adaptive and continuous control of a robot to push unseen objects from random positions to the target position. Our approach takes into account contact information in the desi…
  pubmed Shuaijun Wang, Lining Sun, Fusheng Zha, Wei Guo 等 2023 置信度 0.82
• Cellular reaction gene regulation network for swarm robots with pattern formation maneuvering control
  Self-organized pattern formation enables swarm robots to interact with local environments to self-organize into intricate structures generated by gene regulatory network (GRN) control methods without global knowledge. Previous studies have reported that it is …
  pubmed Zhenlong Xiao, Xin Wang, Lin Hong, Xiao Z 等 2022 置信度 0.82
• Deep reinforcement learning-aided autonomous navigation with landmark generators
  Mobile robots are playing an increasingly significant role in social life and industrial production, such as searching and rescuing robots, autonomous exploration of sweeping robots, and so on. Improving the accuracy of autonomous navigation of mobile robots i…
  pubmed Xuanzhi Wang, Yankang Sun, Yuyang Xie, Jiang Bin 等 2023 置信度 0.82
• Gaussian Process Based Model Predictive Control for Overtaking in Autonomous Driving
  This paper proposes a novel framework for addressing the challenge of autonomous overtaking and obstacle avoidance, which incorporates the overtaking path planning into Gaussian Process-based model predictive control (GPMPC). Compared with conventional control…
  crossref Wenjun Liu, Chang Liu, Guang Chen, Alois Knoll 2021-08-12T10:09:41Z 置信度 0.70
• Goal Oriented Behavior With a Habit-Based Adaptive Sensorimotor Map Network
  We present a description of an ASM-network, a new habit-based robot controller model consisting of a network of adaptive sensorimotor maps. This model draws upon recent theoretical developments in enactive cognition concerning habit and agency at the sensorimo…
  crossref Felix M. G. Woolford, Matthew D. Egbert 2022-05-10T10:08:00Z 置信度 0.70
• Few-shot segmentation with duplex network and attention augmented module
  Establishing the relationship between a limited number of samples and segmented objects in diverse scenarios is the primary challenge in few-shot segmentation. However, many previous works overlooked the crucial support-query set interaction and the deeper inf…
  pubmed Sifu Zeng, Jie Yang, Wang Luo, Yudi Ruan 等 2023 置信度 0.82
• Counting dense object of multiple types based on feature enhancement
  Introduction Accurately counting the number of dense objects in an image, such as pedestrians or vehicles, is a challenging and practical task. The existing density map regression methods based on CNN are mainly used to count a class of dense objects in a sing…
  crossref Qiyan Fu, Weidong Min, Weixiang Sheng, Chunjiang Peng 2024-05-16T04:54:06Z 置信度 0.70
• Deep reinforcement learning navigation via decision transformer in autonomous driving
  In real-world scenarios, making navigation decisions for autonomous driving involves a sequential set of steps. These judgments are made based on partial observations of the environment, while the underlying model of the environment remains unknown. A prevalen…
  pubmed Lun Ge, Xiaoguang Zhou, Yongqiang Li, Yongcong Wang 等 2024 置信度 0.82
• Golden Gait: An Optimization Theory Perspective on Human and Humanoid Walking
  Human walking is a complex task which includes hundreds of muscles, bones and joints working together to deliver harmonic movements with the need of finding equilibrium between moving forward and maintaining stability. Many different computational approaches h…
  crossref Marco Iosa, Giovanni Morone, Stefano Paolucci 2017-12-19T04:14:54Z 置信度 0.70
• Advances on intelligent algorithms for scientific computing: an overview
  The field of computer science has undergone rapid expansion due to the increasing interest in improving system performance. This has resulted in the emergence of advanced techniques, such as neural networks, intelligent systems, optimization algorithms, and op…
  pubmed Cheng Hua, Xinwei Cao, Bolin Liao, Shuai Li 等 2023 置信度 0.82
• A Relational Adaptive Neural Model for Joint Entity and Relation Extraction
  Relation extraction is a popular subtask in natural language processing (NLP). In the task of entity relation joint extraction, overlapping entities and multi-type relation extraction in overlapping triplets remain a challenging problem. The classification of …
  crossref Guiduo Duan, Jiayu Miao, Tianxi Huang, Wenlong Luo 等 2021-03-16T06:47:41Z 置信度 0.70
• Cascade Control of Antagonistic VSA—An Engineering Control Approach to a Bioinspired Robot Actuator
  A cascade control structure for the simultaneous position and stiffness control of antagonistic tendon-driven variable stiffness actuators (VSAs) implemented in a laboratory setup is presented in the paper. Cascade control has the ability to accelerate, additi…
  crossref Branko Lukić, Kosta Jovanović, Tomislav B. Šekara 2019-09-04T13:31:41Z 置信度 0.70
• SpikeAEC: a neuromodulation-based spiking controller for explore-exploit balancing in mobile robots
  Balancing exploration and exploitation remains a fundamental challenge in reliable mobile robot control, as conventional policies often converge on suboptimal behaviors. Inspired by the brain's division of labor for adaptive control, we propose SpikeAEC, a ful…
  crossref Canyang Liu, Yichen Liu, Yongqi Zhou, Buqin Su 2026-03-05T07:29:53Z 置信度 0.70
• Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review
  Walking animals produce adaptive interlimb coordination during locomotion in accordance with their situation. Interlimb coordination is generated through the dynamic interactions of the neural system, the musculoskeletal system, and the environment, although t…
  crossref Shinya Aoi, Poramate Manoonpong, Yuichi Ambe, Fumitoshi Matsuno 等 2017-08-23T03:48:02Z 置信度 0.70
• Lizard Brain: Tackling Locally Low-Dimensional Yet Globally Complex Organization of Multi-Dimensional Datasets
  Machine learning deals with datasets characterized by high dimensionality. However, in many cases, the intrinsic dimensionality of the datasets is surprisingly low. For example, the dimensionality of a robot's perception space can be large and multi-modal but …
  crossref Jonathan Bac, Andrei Zinovyev 2020-01-09T04:54:22Z 置信度 0.70
• A Compliant Force Control Scheme for Industrial Robot Interactive Operation
  To meet the enormous demand for smart manufacturing, industrial robots are playing an increasingly important role. For industrial operations such as grinding 3C products, numerous demands are placed on the compliant interaction ability of industrial robots to …
  crossref Xianfa Xue, Haohui Huang, Lei Zuo, Ning Wang 2022-03-28T22:54:58Z 置信度 0.70
• Voting based double-weighted deterministic extreme learning machine model and its application
  This study introduces an intelligent learning model for classification tasks, termed the voting-based Double Pseudo-inverse Extreme Learning Machine (V-DPELM) model. Because the traditional method is affected by the weight of input layer and the bias of hidden…
  pubmed Rongbo Lu, Liang Luo, Bolin Liao, Lu R 等 2023 置信度 0.82
• Adolescents Environmental Emotion Perception by Integrating EEG and Eye Movements
  Giving a robot the ability to perceive emotion in its environment can improve human-robot interaction (HRI), thereby facilitating more human-like communication. To achieve emotion recognition in different built environments for adolescents, we propose a multi-…
  crossref Yuanyuan Su, Wenchao Li, Ning Bi, Zhao Lv 2019-06-26T04:40:00Z 置信度 0.70
• ACA-Net: adaptive context-aware network for basketball action recognition
  The advancements in intelligent action recognition can be instrumental in developing autonomous robotic systems capable of analyzing complex human activities in real-time, contributing to the growing field of robotics that operates in dynamic environments. The…
  crossref Yaolei Zhang, Fei Zhang, Yuanli Zhou, Xiao Xu 2024-09-25T12:50:02Z 置信度 0.70
• Effect of Torso Kinematics on Gait Phase Estimation at Different Walking Speeds
  Human gait phase estimation has been studied in the field of robotics due to its importance for controlling wearable devices (e.g., prostheses or exoskeletons) in a synchronized manner with the user. As data-driven approaches have recently risen in the field, …
  crossref Woolim Hong, Jinwon Lee, Pilwon Hur 2022-03-30T10:30:31Z 置信度 0.70
• Classification of Movement and Inhibition Using a Hybrid BCI
  Brain-computer interfaces (BCIs) are an emerging technology that are capable of turning brain electrical activity into commands for an external device. Motor imagery (MI)-when a person imagines a motion without executing it-is widely employed in BCI devices fo…
  crossref Jennifer Chmura, Joshua Rosing, Steven Collazos, Shikha J. Goodwin 2017-08-14T23:49:32Z 置信度 0.70
• Initialization of latent space coordinates via random linear projections for learning robotic sensory-motor sequences
  Robot kinematic data, despite being high-dimensional, is highly correlated, especially when considering motions grouped in certain primitives. These almost linear correlations within primitives allow us to interpret motions as points drawn close to a union of …
  crossref Vsevolod Nikulin, Jun Tani 2022-09-14T08:22:42Z 置信度 0.70
• A Minimal Model Describing Hexapedal Interlimb Coordination: The Tegotae-Based Approach
  Insects exhibit adaptive and versatile locomotion despite their minimal neural computing. Such locomotor patterns are generated via coordination between leg movements, i.e., an interlimb coordination, which is largely controlled in a distributed manner by neur…
  crossref Dai Owaki, Masashi Goda, Sakiko Miyazawa, Akio Ishiguro 2017-06-09T04:07:54Z 置信度 0.70
• Combining Max pooling-Laplacian theory and k-means clustering for novel camouflage pattern design
  Camouflage is the main means of anti-optical reconnaissance, and camouflage pattern design is an extremely important step in camouflage. Many scholars have proposed many methods for generating camouflage patterns. k -means algorithm can solve the problem of ge…
  pubmed Minhao Wan, Dehui Zhao, Baogui Zhao, Wan M 等 2022 置信度 0.82
• Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics
  Physical changes such as leg length discrepancy, the addition of a mass at the distal end of the leg, the use of a prosthetic, and stroke frequently result in an asymmetric gait. This paper presents a metric that can potentially serve as a benchmark to categor…
  crossref Tyagi Ramakrishnan, Christina-Anne Lahiff, Kyle B. Reed 2018-02-13T04:41:50Z 置信度 0.70
• The effects of odor and body posture on perceived duration
  This study reports an examination of the internal clock model, according to which subjective time duration is influenced by attention and arousal state. In a time production task, we examine the hypothesis that an arousing odor and an upright body posture affe…
  crossref Eliane Schreuder, Marco R. Hoeksma, Monique A. M. Smeets, Gün R. Semin 2014-02-06T03:09:52Z 置信度 0.70
• An efficient grasping shared control architecture for unpredictable and unspecified tasks
  Robot control in complex and unpredictable scenarios presents challenges such as adaptability, robustness, and human-robot interaction. These scenarios often require robots to perform tasks that involve unknown objects in unstructured environments with high le…
  crossref Shaowen Cheng, Yongbin Jin, Yanhong Liang, Lei Jiang 等 2024-09-11T05:11:12Z 置信度 0.70
• Multimodal intelligent logistics robot combining 3D CNN, LSTM, and visual SLAM for path planning and control
  Introduction In today's dynamic logistics landscape, the role of intelligent robots is paramount for enhancing efficiency, reducing costs, and ensuring safety. Traditional path planning methods often struggle to adapt to changing environments, resulting in iss…
  pubmed Zhuqin Han, Han Z 2023 置信度 0.82
• SafeCrowdNav: safety evaluation of robot crowd navigation in complex scenes
  Navigating safely and efficiently in dense crowds remains a challenging problem for mobile robots. The interaction mechanisms involved in collision avoidance require robots to exhibit active and foresighted behaviors while understanding the crowd dynamics. Dee…
  pubmed Jing Xu, Wanruo Zhang, Jialun Cai, Hong Liu 等 2023 置信度 0.82
• Small target detection with remote sensing images based on an improved YOLOv5 algorithm
  Introduction Small target detection with remote sensing images is a challenging topic due to the small size of the targets, complex, and fuzzy backgrounds. Methods In this study, a new detection algorithm is proposed based on the YOLOv5s algorithm for small ta…
  pubmed Wenjing Pei, Zhanhao Shi, Kai Gong, Pei W 等 2022 置信度 0.82
• Quantum-Based Creative Generation Method for a Dancing Robot
  In this paper, we propose a creative generation process model based on the quantum modeling simulation method. This model is mainly aimed at generating the running trajectory of a dancing robot and the execution plan of the dancing action. First, we used digit…
  crossref Peng Mei, GangYi Ding, QianKun Jin, FuQuan Zhang 等 2020-12-01T08:44:28Z 置信度 0.70
• A multimodal travel route recommendation system leveraging visual Transformers and self-attention mechanisms
  Introduction With the rapid development of the tourism industry, the demand for accurate and personalized travel route recommendations has significantly increased. However, traditional methods often fail to effectively integrate visual and sequential informati…
  crossref Zhang Juan, Jing Zhang, Ming Gao 2024-11-26T06:26:39Z 置信度 0.70
• Micro-Expression Recognition Based on Pixel Residual Sum and Cropped Gaussian Pyramid
  Facial micro-expression(ME) recognition has great significance for the progress of human society and could find a person's true feelings. Meanwhile, ME recognition faces a huge challenge, since it is difficult to detect and easy to be disturbed by the environm…
  crossref Yuan Zhao, Zhuang Chen, Song Luo 2021-12-20T12:00:09Z 置信度 0.70
• Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems
  pubmed Xin Jin, Jingyu Hou, Wei Zhou, Shin-Jye Lee 等 2023 置信度 0.82
• Human-Robot Interaction With Robust Prediction of Movement Intention Surpasses Manual Control
  Physical human-robot interaction (pHRI) enables a user to interact with a physical robotic device to advance beyond the current capabilities of high-payload and high-precision industrial robots. This paradigm opens up novel applications where a the cognitive c…
  crossref Sebastijan Veselic, Claudio Zito, Dario Farina 2021-09-30T09:41:15Z 置信度 0.70
• Fine-grained image classification using the MogaNet network and a multi-level gating mechanism
  Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel fine-grained image classification method based on the MogaNet netw…
  crossref Dahai Li, Su Chen 2025-08-06T05:32:15Z 置信度 0.70
• A novel approach to attention mechanism using kernel functions: Kerformer
  Artificial Intelligence (AI) is driving advancements across various fields by simulating and enhancing human intelligence. In Natural Language Processing (NLP), transformer models like the Kerformer, a linear transformer based on a kernel approach, have garner…
  pubmed Yao Gan, Yanyun Fu, Deyong Wang, Yongming Li 等 2023 置信度 0.82
• Self-Concern Across Scales: A Biologically Inspired Direction for Embodied Artificial Intelligence
  Intelligence in current AI research is measured according to designer-assigned tasks that lack any relevance for an agent itself. As such, tasks and their evaluation reveal a lot more about our intelligence than the possible intelligence of agents that we desi…
  crossref Matthew Sims 2022-04-25T16:24:33Z 置信度 0.70
• Human motion characteristics in relation to feeling familiar or frightened during an announced short interaction with a proactive humanoid
  During an unannounced encounter between two humans and a proactive humanoid (NAO, Aldebaran Robotics), we study the dependencies between the human partners' affective experience (measured via the answers to a questionnaire) particularly regarding feeling famil…
  crossref Ritta Baddoura, Gentiane Venture 2014-03-20T07:38:32Z 置信度 0.70
• Beyond Digital Twins: Phygital Twins for Neuroergonomics in Human-Robot Interaction
  crossref Giacinto Barresi, Claudio Pacchierotti, Matteo Laffranchi, Lorenzo De Michieli 2022-06-29T08:13:12Z 置信度 0.70
• A parallel heterogeneous policy deep reinforcement learning algorithm for bipedal walking motion design
  Considering the dynamics and non-linear characteristics of biped robots, gait optimization is an extremely challenging task. To tackle this issue, a parallel heterogeneous policy Deep Reinforcement Learning (DRL) algorithm for gait optimization is proposed. Fi…
  pubmed Chunguang Li, Mengru Li, Chongben Tao, Li C 等 2023 置信度 0.82
• Optical Myography: Detecting Finger Movements by Looking at the Forearm
  One of the crucial problems found in the scientific community of assistive/rehabilitation robotics nowadays is that of automatically detecting what a disabled subject (for instance, a hand amputee) wants to do, exactly when she wants to do it, and strictly for…
  crossref Christian Nissler, Nikoleta Mouriki, Claudio Castellini 2016-04-11T09:31:28Z 置信度 0.70
• Machine Learning for Haptics: Inferring Multi-Contact Stimulation From Sparse Sensor Configuration
  Robust haptic sensation systems are essential for obtaining dexterous robots. Currently, we have solutions for small surface areas, such as fingers, but affordable and robust techniques for covering large areas of an arbitrary 3D surface are still missing. Her…
  crossref Huanbo Sun, Georg Martius 2019-07-10T14:38:00Z 置信度 0.70
• Classifying human emotions in HRI: applying global optimization model to EEG brain signals
  Significant efforts have been made in the past decade to humanize both the form and function of social robots to increase their acceptance among humans. To this end, social robots have recently been combined with brain-computer interface (BCI) systems in an at…
  pubmed Mariacarla Staffa, Lorenzo D'Errico, Simone Sansalone, Maryam Alimardani 等 2023 置信度 0.82
• Low-Latency Line Tracking Using Event-Based Dynamic Vision Sensors
  In order to safely navigate and orient in their local surroundings autonomous systems need to rapidly extract and persistently track visual features from the environment. While there are many algorithms tackling those tasks for traditional frame-based cameras,…
  crossref Lukas Everding, Jörg Conradt 2018-02-18T23:31:29Z 置信度 0.70
• Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding
  This paper investigates two types of eye movements: vergence and saccades. Vergence eye movements are responsible for bringing the images of the two eyes into correspondence, whereas saccades drive gaze to interesting regions in the scene. Control of both verg…
  crossref Qingpeng Zhu, Jochen Triesch, Bertram E. Shi 2017-11-03T04:27:11Z 置信度 0.70
• DRFnet: Dynamic receptive field network for object detection and image recognition
  Biological experiments discovered that the receptive field of neurons in the primary visual cortex of an animal's visual system is dynamic and capable of being altered by the sensory context. However, in a typical convolution neural network (CNN), a unit's res…
  pubmed Minjie Tan, Xinyang Yuan, Binbin Liang, Songchen Han 等 2022 置信度 0.82
• Editorial: Mapping Human Sensory-Motor Skills for Manipulation Onto the Design and Control of Robots
  Editorial on the Research Topic \nMapping Human Sensory-Motor Skills for Manipulation Onto the Design and Control of Robots
  crossref Matteo Bianchi, Gionata Salvietti 2019-01-22T08:22:04Z 置信度 0.70
• Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area
  Neural activity in dopaminergic areas such as the ventral tegmental area is influenced by timing processes, in particular by the temporal expectation of rewards during Pavlovian conditioning. Receipt of a reward at the expected time allows to compute reward-pr…
  crossref Julien Vitay, Fred H. Hamker 2014-01-31T02:50:36Z 置信度 0.70
• Occlusion facial expression recognition based on feature fusion residual attention network
  Recognizing occluded facial expressions in the wild poses a significant challenge. However, most previous approaches rely solely on either global or local feature-based methods, leading to the loss of relevant expression features. To address these issues, a fe…
  pubmed Yuekun Chen, Shuaishi Liu, Dongxu Zhao, Wenkai Ji 等 2023 置信度 0.82
• Optimum Integration Procedure for Connectionist and Dynamic Field Equations
  Connectionist and dynamic field models consist of a set of coupled first-order differential equations describing the evolution in time of different units. We compare three numerical methods for the integration of these equations: the Euler method, and two meth…
  crossref Andrés Rieznik, Rocco Di Tella, Lara Schvartzman, Andrés Babino 2021-05-28T07:16:41Z 置信度 0.70
• Robust active binocular vision through intrinsically motivated learning
  The efficient coding hypothesis posits that sensory systems of animals strive to encode sensory signals efficiently by taking into account the redundancies in them. This principle has been very successful in explaining response properties of visual sensory neu…
  crossref Luca Lonini, Sébastien Forestier, Céline Teulière, Yu Zhao 等 2013-11-07T07:37:50Z 置信度 0.70
• Phase-Synchronized Learning of Periodic Compliant Movement Primitives (P-CMPs)
  Autonomous trajectory and torque profile synthesis through modulation and generalization require a database of motion with accompanying dynamics, which is typically difficult and time-consuming to obtain. Inspired by adaptive control strategies, this paper pre…
  crossref Tadej Petrič 2020-11-12T06:58:58Z 置信度 0.70
• MLFGCN: short-term residential load forecasting via graph attention temporal convolution network
  Introduction Residential load forecasting is a challenging task due to the random fluctuations caused by complex correlations and individual differences. The existing short-term load forecasting models usually introduce external influencing factors such as cli…
  crossref Ding Feng, Dengao Li, Yu Zhou, Wei Wang 2024-09-23T07:23:06Z 置信度 0.70
• TL-CStrans Net: a vision robot for table tennis player action recognition driven via CS-Transformer
  Currently, the application of robotics technology in sports training and competitions is rapidly increasing. Traditional methods mainly rely on image or video data, neglecting the effective utilization of textual information. To address this issue, we propose:…
  crossref Libo Ma, Yan Tong 2024-10-21T01:10:37Z 置信度 0.70
• The Role of Neuroergonomics in the Design of Personalized Prosthesis: Deepening the Centrality of Human Being
  OPINION article Front. Neurorobot., 06 May 2022 https://doi.org/10.3389/fnbot.2022.867115
  crossref Laura Corti 2022-05-06T08:11:19Z 置信度 0.70
• Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function
  High-dynamic-range (HDR) image has a wide range of applications, but its access is limited. Multi-exposure image fusion techniques have been widely concerned because they can obtain images similar to HDR images. In order to solve the detail loss of multi-expos…
  crossref Ke Xu, Qin Wang, Huangqing Xiao, Kelin Liu 2022-03-08T05:51:30Z 置信度 0.70
• The hybrid bio-robotic swarm as a powerful tool for collective motion research: a perspective
  Swarming or collective motion is ubiquitous in natural systems, and instrumental in many technological applications. Accordingly, research interest in this phenomenon is crossing discipline boundaries. A common major question is that of the intricate interacti…
  pubmed Amir Ayali, Gal A. Kaminka, Ayali A, Kaminka GA 2023 置信度 0.82
• Path planning of mobile robot based on improved double deep Q-network algorithm
  Aiming at the problems of slow network convergence, poor reward convergence stability, and low path planning efficiency of traditional deep reinforcement learning algorithms, this paper proposes a BiLSTM-D3QN (Bidirectional Long and Short-Term Memory Dueling D…
  crossref Zhenggang Wang, Shuhong Song, Shenghui Cheng 2025-02-13T02:09:46Z 置信度 0.70
• Realistic modeling of neurons and networks: towards brain simulation.
  Realistic modeling is a new advanced methodology for investigating brain functions. Realistic modeling is based on a detailed biophysical description of neurons and synapses, which can be integrated into microcircuits. The latter can, in turn, be further integ…
  openalex Egidio D’Angelo, Sergio Solinas, Jesús A. Garrido, Claudia Casellato 等 2014-05-28 置信度 0.72 Computer scienceNeuroscienceCerebellumComplex networkField (mathematics)
• Designing spontaneous behavioral switching via chaotic itinerancy
  Chaotic itinerancy is a frequently observed phenomenon in high-dimensional nonlinear dynamical systems and is characterized by itinerant transitions among multiple quasi-attractors. Several studies have pointed out that high-dimensional activity in animal brai…
  openalex Katsuma Inoue, Kohei Nakajima, Yasuo Kuniyoshi 2020-11-12 置信度 0.72 ChaoticComputer scienceNeuroscienceCommunicationBiology
• Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks
  Spiking neural networks are in theory more computationally powerful than rate-based neural networks often used in deep learning architectures. However, unlike rate-based neural networks, it is yet unclear how to train spiking networks to solve complex problems…
  openalex Jacques Kaiser, J. Camilo Vasquez Tieck, Christian Hubschneider, Peter Wolf 等 2016-12-01 置信度 0.72 Computer scienceSpiking neural networkModular designArtificial neural networkArtificial intelligence
• Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis
  openalex Shuangming Yang, Jiang Wang, Shunan Li, Bin Deng 等 2015-08-10 置信度 0.72 Basal gangliaField-programmable gate arrayComputer scienceParkinson's diseaseNeuroscience
• 50 Years of Artificial Intelligence
  openalex Lungarella, M, Iida, F, Bongard, J C, Rolf Pfeifer 2007-01-01 置信度 0.72 Artificial intelligenceComputer science
• Recent advances in emerging neuromorphic computing and perception devices
  Abstract Brain-inspired electronics represent a promising paradigm to resolve the energy and time bottlenecks in conventional digital machines. Recent advances have spanned both computing and sensing by imitating naturally evolved biological approaches, and th…
  openalex Yixin Zhu, Ying Zhu, Huiwu Mao, Yongli He 等 2021-09-20 置信度 0.72 Neuromorphic engineeringComputer sciencePerceptionCognitive computingRobotics
• An artificial neuromorphic somatosensory system with spatio-temporal tactile perception and feedback functions
  Abstract The advancement in flexible electronics and neuromorphic electronics has opened up opportunities to construct artificial perception systems to emulate biological functions which are of great importance for intelligent robotics and human-machine intera…
  openalex Fuqin Sun, Qifeng Lu, Mingming Hao, Yue Wu 等 2022-08-13 置信度 0.72 Neuromorphic engineeringSomatosensory systemArtificial intelligenceRoboticsPerception
• Neuropod: A real-time neuromorphic spiking CPG applied to robotics
  openalex Daniel Gutiérrez-Galán, Juan P. Dominguez‐Morales, Fernando Perez‐Peña, Ángel Jiménez-Fernández 等 2019-11-08 置信度 0.72 Neuromorphic engineeringArtificial intelligenceRoboticsComputer scienceRobot
• The Role of the Control Framework for Continuous Teleoperation of a Brain–Machine Interface-Driven Mobile Robot
  Despite the growing interest in brain-machine interface (BMI)-driven neuroprostheses, the translation of the BMI output into a suitable control signal for the robotic device is often neglected. In this article, we propose a novel control approach based on dyna…
  openalex Luca Tonin, Felix Christian Bauer, José del R. Millán 2019-10-22 置信度 0.72 TeleoperationMobile robotRobotExploitComputer science
• Understanding brain functional architecture through robotics
  Robotics is increasingly seen as a useful test bed for computational models of the brain functional architecture underlying animal behavior. We provide an overview of past and current work, focusing on probabilistic and dynamical models, including approaches p…
  pubmed Tony J. Prescott, Stuart P. Wilson, Prescott TJ, Wilson SP 2023 May 31 置信度 0.82 RoboticsArtificial intelligenceCognitive scienceArchitectureComputer science
• A Multimodal Intention Detection Sensor Suite for Shared Autonomy of Upper-Limb Robotic Prostheses
  Neurorobotic augmentation (e.g., robotic assist) is now in regular use to support individuals suffering from impaired motor functions. A major unresolved challenge, however, is the excessive cognitive load necessary for the human-machine interface (HMI). Grasp…
  openalex Marcus Gardner, C. Sebastian Mancero Castillo, Samuel Wilson, Dario Farina 等 2020-10-27 置信度 0.72 GRASPTask (project management)Computer scienceArtificial intelligenceSuite
• Bioinspired kinesthetic system for human-machine interaction
  openalex Liuting Shan, Yaqian Liu, Xianghong Zhang, Enlong Li 等 2021-06-25 置信度 0.72 Kinesthetic learningNeuromorphic engineeringEmulationArtificial intelligenceTriboelectric effect
• Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses
  Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials, fintech management, medicine, neurorobotics, and psychology, among others. Prognostics and health management (PHM) is the discipline that links the studies of failure…
  openalex Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, Víctor Leiva 2021-12-01 置信度 0.72 Meta-analysisSystematic reviewComputer scienceMEDLINEMedicine
• World models and predictive coding for cognitive and developmental robotics: frontiers and challenges
  Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is the ultimate achievement envisioned in cognitive and developmental robotics. Importantly, if the aim is to create robots that can continuou…
  openalex Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene 等 2023-06-26 置信度 0.72 Artificial intelligenceRoboticsComputer scienceCognitionCognitive robotics
• Energy scavenging artificial nervous system for detecting rotational movement
  openalex Daehwan Choi, Min‐Kyu Song, Taehoon Sung, Sukjin Jang 等 2020-05-11 置信度 0.72 Nervous systemNeuroprostheticsNeuroscienceTriboelectric effectSensory system
• Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands
  openalex J. Camilo Vasquez Tieck, Heiko Donat, Jacques Kaiser, Igor Peric 等 2017-01-01 置信度 0.72 GRASPComputer scienceArtificial intelligenceRobotSpiking neural network
• 1P1-B09 Generation of PWM Waveform for Servo Motor Using Pulse-Type Hardware Neural Networks Inspired by the Brain of Living Organism(Neurorobotics & Cognitive Robotics)
  This paper presents the pulse-type hardware neural networks (P-HNN) which could output the pulse width modulation (PWM) waveform of PWM servo motor for robots. Basic components of P-HNN were pulse type hardware neuron model (P-HNM). P-HNM consisted by the cell…
  openalex Yasunori HARA, Hiroki Obara, Fumio Uchikoba, Ken Saito 2013-01-01 置信度 0.72 Pulse-width modulationWaveformArtificial neural networkComputer scienceServomotor
• A bioinspired flexible artificial mechanoreceptor based on VO2 insulator-metal transition memristor
  openalex Sheng Li Fang, Chuanyu Han, Weihua Liu, Zheng Rong Han 等 2022-04-21 置信度 0.72 MechanoreceptorMemristorMaterials scienceNanotechnologyComputer science
• Robot-driven spinal epidural stimulation compared with conventional stimulation in adult spinalized rats
  Epidural stimulation to trigger locomotion is a promising treatment after spinal cord injury (SCI). Continuous stimulation during locomotion is the conventional method. To improve recovery, we tested an innovative robot-driven epidural stimulation method, comb…
  openalex Fu-Han Hsieh, Simon F. Giszter 2011-08-01 置信度 0.72 StimulationTrunkEpidural spaceMedicineSpinal cord injury
• Vestibular humanoid postural control
  openalex T. Mergner, G. Schweigart, Luminous Fennell 2009-05-01 置信度 0.72 Vestibular systemHumanoid robotComputer scienceSensory systemKinematics
• Artificial Multisensory Neurons with Fused Haptic and Temperature Perception for Multimodal In‐Sensor Computing
  The human receives and transmits various information from the outside world through different sensory systems. The sensory neurons integrate various sensory inputs into a synthetical perception to monitor complex environments, and this fundamentally determines…
  openalex Qingxi Duan, Teng Zhang, Chang Liu, Yuan Rui 等 2022-03-30 置信度 0.72 Sensory systemComputer sciencePerceptionHaptic technologyMultisensory integration
• Closed Loop Interactions between Spiking Neural Network and Robotic Simulators Based on MUSIC and ROS
  In order to properly assess the function and computational properties of simulated neural systems, it is necessary to account for the nature of the stimuli that drive the system. However, providing stimuli that are rich and yet both reproducible and amenable t…
  openalex Philipp Weidel, Mikael Djurfeldt, Renato Duarte, Abigail Morrison 2016-08-02 置信度 0.72 Computer scienceReinforcement learningRoboticsArtificial neural networkMiddleware (distributed applications)
• Neurorobots as a Means Toward Neuroethology and Explainable AI
  Understanding why deep neural networks and machine learning algorithms act as they do is a difficult endeavor. Neuroscientists are faced with similar problems. One way biologists address this issue is by closely observing behavior while recording neurons or ma…
  openalex Kexin Chen, Tiffany Hwu, Hirak J. Kashyap, Jeffrey L. Krichmar 等 2020-10-19 置信度 0.72 NeuroethologyComputer scienceArtificial intelligenceArtificial neural networkMachine learning
• A Robotic Model of Reaching and Grasping Development
  We present a neurorobotic model that develops reaching and grasping skills analogous to those displayed by infants during their early developmental stages. The learning process is realized in an incremental manner, taking into account the reflex behaviors init…
  openalex Piero Savastano, Stefano Nolfi 2013-06-04 置信度 0.72 NeurophysiologyProcess (computing)CognitionRobotComputer science
• Editorial: Shared Autonomy— Learning of Joint Action and Human-Robot Collaboration
  Schilling M, Burgard W, Muelling K, Wrede B, Ritter H. Editorial: Shared Autonomy- Learning of Joint Action and Human-Robot Collaboration. Frontiers in neurorobotics. 2019;13: 16.
  openalex Malte Schilling, Wolfram Burgard, Katharina Muelling, Britta Wrede 等 2019-05-14 置信度 0.72 Computer scienceJoint (building)AutonomyRobotAction (physics)
• Neural Interface: Frontiers and Applications
  openalex 2019-01-01 置信度 0.72 NeuroprostheticsInterface (matter)Computer scienceBrain–computer interfaceEncoding (memory)
• Continual lifelong learning with neural networks: A review
  Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together contribute …
  openalex German I. Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan 等 2019-02-10 置信度 0.72 Lifelong learningForgettingComputer scienceArtificial intelligenceTransfer of learning
• Lateral flexion of a compliant spine improves motor performance in a bioinspired mouse robot
  A flexible spine is critical to the motion capability of most animals and plays a pivotal role in their agility. Although state-of-the-art legged robots have already achieved very dynamic and agile movement solely relying on their legs, they still exhibit the …
  pubmed Zhenshan Bing, Alex Rohregger, Florian Walter, Yuhong Huang 等 2023 Dec 6 置信度 0.82 SPINE (molecular biology)RobotComputer scienceAgile software developmentSimulation
• Flexible Electro‐Optical Perovskite/Electrolyte Synaptic Transistor to Emulate Photoelectric‐Synergistic Neural Learning Rules and Reflex‐Arc Behavior
  Abstract The design and fabrication of a flexible electric‐optical perovskite/electrolyte synaptic transistor are demonstrated for the first time, which emulates important neuromorphic functions under dual‐mode modulation. Benefiting from the bipolar charge tr…
  openalex Huanhuan Wei, Yao Ge, Yao Ni, Lu Yang 等 2023-07-08 置信度 0.72 Neuromorphic engineeringMaterials scienceTransistorPerovskite (structure)Optoelectronics
• Towards Rehabilitation Robotics: Off-the-Shelf BCI Control of Anthropomorphic Robotic Arms
  Advances in neural interfaces have demonstrated remarkable results in the direction of replacing and restoring lost sensorimotor function in human patients. Noninvasive brain-computer interfaces (BCIs) are popular due to considerable advantages including simpl…
  openalex Alkinoos Athanasiou, Ioannis Xygonakis, Niki Pandria, Panagiotis Kartsidis 等 2017-01-01 置信度 0.72 Brain–computer interfaceRoboticsComputer scienceModalitiesRehabilitation
• Real-Time Gait Event Detection Based on Kinematic Data Coupled to a Biomechanical Model †
  Real-time detection of multiple stance events, more specifically initial contact (IC), foot flat (FF), heel off (HO), and toe off (TO), could greatly benefit neurorobotic (NR) and neuroprosthetic (NP) control. Three real-time threshold-based algorithms have be…
  openalex Stefan Lambrecht, Anna Harutyunyan, Kevin Tanghe, Maarten Afschrift 等 2017-03-24 置信度 0.72 KinematicsGaitFalse positive paradoxComputer scienceEvent (particle physics)
• An artificial synapse based on La:BiFeO3 ferroelectric memristor for pain perceptual nociceptor emulation
  openalex Xiaobing Yan, Jiahui Sun, Y. Zhang, Zhen Zhao 等 2023-04-17 置信度 0.72 MemristorNeuromorphic engineeringEmulationNeuroscienceNeural facilitation
• Spike‐Based Spatiotemporal Processing Enabled by Oscillation Neuron for Energy‐Efficient Artificial Sensory Systems
  Developing an energy‐efficient artificial sensory system is of great significance for neuroprosthesis, neurorobotics, and intelligent human–machine interfaces. Inspired by the biological perception, achieving this goal through spatiotemporal processing is viab…
  openalex Shuai Zhong, Yishu Zhang, Hao Zheng, Fangwen Yu 等 2022-05-29 置信度 0.72 Computer scienceOscillation (cell signaling)Spiking neural networkSensory systemArtificial neural network
• Artificial Optoelectronic Synapses Based on TiNxO2–x/MoS2 Heterojunction for Neuromorphic Computing and Visual System (Adv. Funct. Mater. 34/2021)
  Artificial Optoelectronic Synapses In article number 2101201, Yang Li, Guozhen Shen, and co-workers present an artificial optoelectronic synapse for a neuromorphic computing and visual system. Benefiting from the voltage and light-induced synaptic behavior, th…
  openalex Wenxiao Wang, Song Gao, Yang Li, Wenjing Yue 等 2021-08-01 置信度 0.72 Neuromorphic engineeringMaterials scienceHeterojunctionOptoelectronicsConstruct (python library)
• Progress and prospects of the human–robot collaboration
  openalex Arash Ajoudani, Andrea Maria Zanchettin, Serena Ivaldi, Alin Albu‐Schäffer 等 2017-10-31 置信度 0.72 Computer scienceRobotHuman–computer interactionModalitiesBenchmarking
• Operant conditioning: a minimal components requirement in artificial spiking neurons designed for bio-inspired robot's controller
  In this paper, we investigate the operant conditioning (OC) learning process within a bio-inspired paradigm, using artificial spiking neural networks (ASNN) to act as robot brain controllers. In biological agents, OC results in behavioral changes learned from …
  openalex André Cyr, Mounir Boukadoum, Frédéric Thériault 2014-07-25 置信度 0.72 Computer scienceSpiking neural networkArtificial intelligenceRobotContext (archaeology)
• All‐Photonic Synapses for Biomimetic Ocular System
  Abstract The human visual system to process real‐time light signals and safeguard against excessive light exposure serves as a model for artificial vision systems. Despite the wide use of optoelectronic synaptic devices in such simulations, their complex circu…
  openalex Yincheng Zhang, Hao Chen, Wanqi Sun, Yuqi Hou 等 2024-06-23 置信度 0.72 Materials sciencePhotonicsNanotechnologyBiomimeticsOptoelectronics