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• NeuroVI-based new datasets and space attention network for the recognition and falling detection of delivery packages.
  With the popularity of online-shopping, more and more delivery packages have led to stacking at sorting centers. Robotic detection can improve sorting efficiency. Standard datasets in computer vision are crucial for visual detection. A neuromorphic vision (Neu…
  pubmed Liu X, Yang ZX, Xu Z, Yan X 2022 置信度 0.93 computer scienceconvolutional neural networkcs.cveess.ivunderwater
• Online recorded data-based finite-time composite neural trajectory tracking control for underactuated MSVs.
  This paper presents an online recorded data-based composite neural finite-time control scheme for underactuated marine surface vessels (MSVs) subject to uncertain dynamics and time-varying external disturbances. The underactuation problem of the MSVs was solve…
  pubmed Zhao C, Yan H, Gao D 2022 置信度 0.93 control theoryrobustnesseess.symath.ocunderwater
• PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows
  Motivation: Hand amputations can dramatically affect the quality of life of a person. Researchers are developing surface electromyography and machine learning solutions to control dexterous and robotic prosthetic hands, however long computational times can slo…
  crossref Manfredo Atzori, Henning Müller 2019-09-10T05:04:13Z 置信度 0.79 computer sciencebrain-computer interfacecs.lgartificial intelligencestat.ml
• Self-Triggered Consensus of Vehicle Platoon System With Time-Varying Topology
  This paper focuses on the consensus problem of a vehicle platoon system with time-varying topology via self-triggered control. Unlike traditional control methods, a more secure event-triggered controller considering the safe distance was designed for the vehic…
  crossref Weiping Wang, Chunyang Wang, Yongzhen Guo, Xiong Luo 等 2020-10-14T06:15:28Z 置信度 0.76 control theoryunderwaterroboteess.symath.oc
• Advancing autonomy through lifelong learning: a survey of autonomous intelligent systems
  The combination of lifelong learning algorithms with autonomous intelligent systems (AIS) is gaining popularity due to its ability to enhance AIS performance, but the existing summaries in related fields are insufficient. Therefore, it is necessary to systemat…
  crossref Dekang Zhu, Qianyi Bu, Zhongpan Zhu, Yujie Zhang 等 2024-04-05T10:24:33Z 置信度 0.78 computer scienceartificial intelligencedata scienceinternet of thingssystems engineering
• Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots
  In this paper, we propose a Bayesian generative model that can form multiple categories based on each sensory-channel and can associate words with any of the four sensory-channels (action, position, object, and color). This paper focuses on cross-situational l…
  crossref Akira Taniguchi, Tadahiro Taniguchi, Angelo Cangelosi 2017-12-19T04:56:11Z 置信度 0.74 cs.lgrobotcs.aireinforcement learningtask
• Gait Neural Network for Human-Exoskeleton Interaction
  Robotic exoskeletons are developed with the aim of enhancing convenience and physical possibilities in daily life. However, at present, these devices lack sufficient synchronization with human movements. To optimize human-exoskeleton interaction, this article …
  crossref Bin Fang, Quan Zhou, Fuchun Sun, Jianhua Shan 等 2020-10-29T06:41:30Z 置信度 0.79 computer sciencecs.lgconvolutional neural networkcs.cvbrain-computer interface
• Multi-Modal Fusion Emotion Recognition Method of Speech Expression Based on Deep Learning
  The redundant information, noise data generated in the process of single-modal feature extraction, and traditional learning algorithms are difficult to obtain ideal recognition performance. A multi-modal fusion emotion recognition method for speech expressions…
  crossref Dong Liu, Zhiyong Wang, Lifeng Wang, Longxi Chen 2021-07-09T11:29:57Z 置信度 0.76 convolutional neural networkbrain-computer interfacecs.lgmotor imagerysignal processing
• Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces
  Free-energy based reinforcement learning (FERL) was proposed for learning in high-dimensional state- and action spaces, which cannot be handled by standard function approximation methods. In this study, we propose a scaled version of free-energy based reinforc…
  crossref Stefan Elfwing, Eiji Uchibe, Kenji Doya 2013-02-28T21:36:45Z 置信度 0.78 artificial intelligencecs.lgreinforcement learningcomputer and information sciencescs.ro
• Robust Trajectory Generation for Robotic Control on the Neuromorphic Research Chip Loihi
  Neuromorphic hardware has several promising advantages compared to von Neumann architectures and is highly interesting for robot control. However, despite the high speed and energy efficiency of neuromorphic computing, algorithms utilizing this hardware in con…
  crossref Carlo Michaelis, Andrew B. Lehr, Christian Tetzlaff 2020-11-26T02:15:36Z 置信度 0.79 computer and information sciencesneuromorphic engineeringcomputer scienceartificial neural networkcs.ne
• Experience Replay Using Transition Sequences
  Experience replay is one of the most commonly used approaches to improve the sample efficiency of reinforcement learning algorithms. In this work, we propose an approach to select and replay sequences of transitions in order to accelerate the learning of a rei…
  crossref Thommen George Karimpanal, Roland Bouffanais 2018-06-21T12:15:47Z 置信度 0.74 cs.lgreinforcement learningcs.aiartificial intelligencecomputer science
• Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task
  Linearly solvable Markov Decision Process (LMDP) is a class of optimal control problem in which the Bellman's equation can be converted into a linear equation by an exponential transformation of the state value function (Todorov, 2009b). In an LMDP, the optima…
  crossref Ken Kinjo, Eiji Uchibe, Kenji Doya 2013-04-05T07:03:30Z 置信度 0.74 control theoryeess.symath.ocreinforcement learningrobot
• Factors Associated With Prosthesis Embodiment and Its Importance for Prosthetic Satisfaction in Lower Limb Amputees
  Perceptual integration of a prosthesis into an amputee's body representation, that is, prosthesis embodiment, has been proposed to be a major goal of prosthetic treatment, potentially contributing to the user's satisfaction with the device. However, insufficie…
  crossref Robin Bekrater-Bodmann 2021-01-14T23:23:50Z 置信度 0.79 perceptionpsychologyphysical medicine and rehabilitationsocial and behavioral sciencescognitive psychology
• A Path Toward Explainable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action
  Biological neural network models whereby brains make minds help to understand autonomous adaptive intelligence. This article summarizes why the dynamics and emergent properties of such models for perception, cognition, emotion, and action are explainable, and …
  crossref Stephen Grossberg 2020-06-25T05:27:38Z 置信度 0.79 computer scienceartificial intelligencecs.lgcs.aicomputer and information sciences
• Graph-Based Visual Manipulation Relationship Reasoning Network for Robotic Grasping
  To grasp the target object stably and orderly in the object-stacking scenes, it is important for the robot to reason the relationships between objects and obtain intelligent manipulation order for more advanced interaction between the robot and the environment…
  crossref Guoyu Zuo, Jiayuan Tong, Hongxing Liu, Wenbai Chen 等 2021-08-13T10:20:52Z 置信度 0.76 roboticscs.cvrobotcomputer and information sciencesartificial intelligence
• Event-Based Circular Detection for AUV Docking Based on Spiking Neural Network
  In this paper, a circular objects detection method for Autonomous Underwater Vehicle (AUV) docking is proposed, based on the Dynamic Vision Sensor (DVS) and the Spiking Neural Network (SNN) framework. In contrast to the related work, the proposed method not on…
  crossref Feihu Zhang, Yaohui Zhong, Liyuan Chen, Zhiliang Wang 2022-07-06T03:34:19Z 置信度 0.79 underwatercomputer and information scienceselectrical engineering, electronic engineering, information engineeringconvolutional neural networkcomputer science
• 2P2-L13 Wired to Win : Behavior effect of fast Robot on human during Rock Paper Scissor Game(Neurorobotics & Cognitive Robotics)
  We present a humanoid robot that can beat human at Rock Paper Scissor by means of a high speed hand and computer vision. Since the robot is faster we measure how different lose win ratios affect human brain activity and heart rate.
  crossref Jose BERENGUERES, Riichiro TADAKUMA, Yuichi SUZUKAWA, Mitsuhiro YAMANO 等 2017-06-27T00:13:14Z 置信度 0.76 robothuman-computer interactionconsciousnesscognitive psychologycs.ro
• Research on autonomous route generation method based on AIS ship trajectory big data and improved LSTM algorithm
  The autonomous generation of routes is an important part of ship intelligence and it can be realized by deep learning of the big data of automatic identification system (AIS) ship trajectories. In this study, to make the routes generated by long short-term mem…
  pubmed ChangXi Zhuang, Chao Chen, Zhuang C, Chen C 2022 置信度 0.93 computer scienceartificial intelligencebig dataconvolutional neural networkartificial neural network
• Spiking Neural Network for Fourier Transform and Object Detection for Automotive Radar
  The development of advanced autonomous driving applications is hindered by the complex temporal structure of sensory data, as well as by the limited computational and energy resources of their on-board systems. Currently, neuromorphic engineering is a rapidly …
  crossref Javier López-Randulfe, Tobias Duswald, Zhenshan Bing, Alois Knoll 2021-06-07T04:57:23Z 置信度 0.79 computer sciencecomputer and information sciencescs.aielectrical engineering, electronic engineering, information engineeringsignal processing
• Action Generation Adapted to Low-Level and High-Level Robot-Object Interaction States
  Our daily environments are complex, composed of objects with different features. These features can be categorized into low-level features, e.g., an object position or temperature, and high-level features resulting from a pre-processing of low-level features f…
  crossref Carlos Maestre, Ghanim Mukhtar, Christophe Gonzales, Stephane Doncieux 2019-07-24T13:43:55Z 置信度 0.76 roboticscomputer sciencerobotcomputer and information sciencescs.ai
• Spatial-Temporal Attention Mechanism and Graph Convolutional Networks for Destination Prediction
  Urban transportation destination prediction is a crucial issue in the area of intelligent transportation, such as urban traffic planning and traffic congestion control. The spatial structure of the road network has high nonlinearity and complexity, and also, t…
  crossref Cong Li, Huyin Zhang, Zengkai Wang, Yonghao Wu 等 2022-07-07T09:59:39Z 置信度 0.76 cs.lgcomputer sciencecomputer and information sciencesnetworking and internet architecturecs.ni
• Graph Convolutional Networks for multi-modal robotic martial arts leg pose recognition
  Introduction Accurate recognition of martial arts leg poses is essential for applications in sports analytics, rehabilitation, and human-computer interaction. Traditional pose recognition models, relying on sequential or convolutional approaches, often struggl…
  crossref Shun Yao, Yihan Ping, Xiaoyu Yue, He Chen 2025-01-20T07:21:07Z 置信度 0.82 computer sciencecomputer and information sciencescs.lgartificial intelligencecs.ai
• Adaptive Bilateral Texture Filter for Image Smoothing
  The biggest challenge of texture filtering is to smooth the strong gradient textures while maintaining the weak structures, which is difficult to achieve with current methods. Based on this, we propose a scale-adaptive texture filtering algorithm in this paper…
  crossref Huiqin Xu, Zhongrong Zhang, Yin Gao, Haizhong Liu 等 2022-06-27T13:20:44Z 置信度 0.71 cs.cvcs.lgcomputer and information sciencescryptography and securityeess.iv
• Neuro-motor controlled wearable augmentations: current research and emerging trends
  Wearable augmentations (WAs) designed for movement and manipulation, such as exoskeletons and supernumerary robotic limbs, are used to enhance the physical abilities of healthy individuals and substitute or restore lost functionality for impaired individuals. …
  crossref Haneen Alsuradi, Joseph Hong, Helin Mazi, Mohamad Eid 2024-10-31T06:10:43Z 置信度 0.82 brain-computer interfacecomputer sciencehuman-computer interactionelectroencephalographyneuroscience
• SeBioGraph: Semi-supervised Deep Learning for the Graph via Sustainable Knowledge Transfer
  Semi-supervised deep learning for the biomedical graph and advanced manufacturing graph is rapidly becoming an important topic in both academia and industry. Many existing types of research focus on semi-supervised link prediction and node classification, as w…
  crossref Yugang Ma, Qing Li, Nan Hu, Lili Li 2021-04-01T06:06:25Z 置信度 0.79 cs.lgcomputer scienceartificial intelligenceartificial neural networkstat.ml
• Diagnosis of pneumonia from chest X-ray images using YOLO deep learning
  Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and misdiagnosis. To address this, we propose a novel pneumonia dia…
  crossref Yanchun Xie, Binbin Zhu, Yang Jiang, Bin Zhao 等 2025-04-28T05:30:19Z 置信度 0.73 computer sciencecs.lgartificial intelligencecs.cvcomputer and information sciences
• Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device
  Animal behavior often involves a temporally ordered sequence of actions learned from experience. Here we describe simulations of interconnected networks of spiking neurons that learn to generate patterns of activity in correct temporal order. The simulation co…
  crossref Jeffrey L. McKinstry, Gerald M. Edelman 2013-06-06T02:36:22Z 置信度 0.78 neuroscienceartificial neural networkcs.neq-bio.nccs.lg
• Deep Reinforcement Learning Based Trajectory Planning Under Uncertain Constraints
  With the advance in algorithms, deep reinforcement learning (DRL) offers solutions to trajectory planning under uncertain environments. Different from traditional trajectory planning which requires lots of effort to tackle complicated high-dimensional problems…
  crossref Lienhung Chen, Zhongliang Jiang, Long Cheng, Alois C. Knoll 等 2022-05-02T01:36:35Z 置信度 0.76 reinforcement learningroboticscomputer and information sciencesrobotelectrical engineering, electronic engineering, information engineering
• A New Residual Dense Network for Dance Action Recognition From Heterogeneous View Perception
  At present, part of people's body is in the state of sub-health, and more people pay attention to physical exercise. Dance is a relatively simple and popular activity, it has been widely concerned. The traditional action recognition method is easily affected b…
  crossref Xue Yang, Yin Lyu, Yang Sun, Chen Zhang 2021-06-22T06:35:30Z 置信度 0.76 convolutional neural networkcomputer scienceartificial neural networkcs.lgartificial intelligence
• Ontology based autonomous robot task processing framework
  Introduction In recent years, the perceptual capabilities of robots have been significantly enhanced. However, the task execution of the robots still lacks adaptive capabilities in unstructured and dynamic environments. Methods In this paper, we propose an ont…
  crossref Yueguang Ge, Shaolin Zhang, Yinghao Cai, Tao Lu 等 2024-05-07T04:37:31Z 置信度 0.82 computer sciencerobotroboticscomputer and information scienceshuman-computer interaction
• An EMG Interface for the Control of Motion and Compliance of a Supernumerary Robotic Finger
  In this paper, we propose a novel electromyographic (EMG) control interface to control motion and joints compliance of a supernumerary robotic finger. The supernumerary robotic fingers are a recently introduced class of wearable robotics that provides users ad…
  crossref Irfan Hussain, Giovanni Spagnoletti, Gionata Salvietti, Domenico Prattichizzo 2016-11-10T22:18:43Z 置信度 0.78 brain-computer interfaceroboticsrobothuman-computer interactionphysical medicine and rehabilitation
• Reproducing Human Arm Strategy and Its Contribution to Balance Recovery Through Model Predictive Control
  The study of human balance recovery strategies is important for human balance rehabilitation and humanoid robot balance control. To date, many efforts have been made to improve balance during quiet standing and walking motions. Arm usage (arm strategy) has bee…
  crossref Keli Shen, Ahmed Chemori, Mitsuhiro Hayashibe 2021-05-17T05:25:27Z 置信度 0.76 brain-computer interfacerobotphysical medicine and rehabilitationcontrol theoryrobotics
• Homology Characteristics of EEG and EMG for Lower Limb Voluntary Movement Intention
  In the field of lower limb exoskeletons, besides its electromechanical system design and control, attention has been paid to realizing the linkage of exoskeleton robots to humans via electroencephalography (EEG) and electromyography (EMG). However, even the st…
  crossref Xiaodong Zhang, Hanzhe Li, Zhufeng Lu, Gui Yin 2021-06-18T06:23:50Z 置信度 0.79 brain-computer interfacemotor imageryelectroencephalographyphysical medicine and rehabilitationrehabilitation
• VLM-guided retrieval augmented generation (RAG) for robot action prediction
  Reliable action prediction is essential for robotic electronic-waste disassembly, where device diversity and damage make preplanned sequences impractical. Vision-language models (VLMs) offer broad visual and semantic knowledge, but zero-shot predictions can be…
  crossref Boris Kuster, Nikola Marić, Fatima Aziz, Boshko Koloski 等 2026-08-25T05:35:43Z 置信度 0.82 cs.aicomputer and information sciencescs.clcs.lgcs.ir
• 3D human pose data augmentation using Generative Adversarial Networks for robotic-assisted movement quality assessment
  In the realm of human motion recognition systems, the augmentation of 3D human pose data plays a pivotal role in enriching and enhancing the quality of original datasets through the generation of synthetic data. This augmentation is vital for addressing the cu…
  crossref Xuefeng Wang, Yang Mi, Xiang Zhang 2024-04-05T04:56:33Z 置信度 0.82 computer scienceartificial intelligencecs.lgdata sciencecomputer and information sciences
• Editorial: EMG/EEG Signals-Based Control of Assistive and Rehabilitation Robots
  These robots make the life of a physically weak person more comfortable and useful to society. They sense, process sensory information, and execute actions that are helpful to the disabled person. Similarly, these robots carry out rehabilitation by understandi…
  crossref R. A. R. C. Gopura, Thilina Dulantha Lalitharatne, Kazuo Kiguchi, Dingguo Zhang 2022-02-07T04:29:56Z 置信度 0.79 robotphysical medicine and rehabilitationroboticsrehabilitationbrain-computer interface
• Globally-Optimal Inlier Maximization for Relative Pose Estimation Under Planar Motion
  Planar motion constraint occurs in visual odometry (VO) and SLAM for Automated Guided Vehicles (AGVs) or mobile robots in general. Conventionally, two-point solvers can be nested to RANdom SAmple Consensus to reject outliers in real data, but the performance d…
  crossref Haotian Liu, Guang Chen, Yinlong Liu, Zichen Liang 等 2022-03-03T05:45:06Z 置信度 0.76 electrical engineering, electronic engineering, information engineeringcomputer and information sciencessystems and controlsignal processingrobotics
• SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
  The adaptive changes in synaptic efficacy that occur between spiking neurons have been demonstrated to play a critical role in learning for biological neural networks. Despite this source of inspiration, many learning focused applications using Spiking Neural …
  crossref Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, Joe Hays 2021-09-22T06:48:50Z 置信度 0.79 cs.lgcs.neartificial intelligencecomputer and information sciencescomputer science
• Mining local and global spatiotemporal features for tactile object recognition
  The tactile object recognition (TOR) is highly important for environmental perception of robots. The previous works usually utilize single scale convolution which cannot simultaneously extract local and global spatiotemporal features of tactile data, which lea…
  crossref Xiaoliang Qian, Wei Deng, Wei Wang, Yucui Liu 等 2024-05-03T04:25:25Z 置信度 0.78 computer and information sciencescs.cvcomputer vision and pattern recognitionroboticscs.lg
• The comparison of electroencephalography power and event related potential in success and failure during multitask game
  The first game-based treatment for children with attention-deficit hyperactivity disorder (ADHD) was approved by the United States Food and Drug Administration (FDA) in 2020. This game was developed for use at home as part of everyday training and can be used …
  pubmed Fumiya Sanuki, Nonthaporn Nakphu, Ayumi Tahara, Keiji Iramina 等 2022 置信度 0.93 brain-computer interfaceelectroencephalographypsychologyphysical medicine and rehabilitationcognitive psychology
• Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes
  Humans divide perceived continuous information into segments to facilitate recognition. For example, humans can segment speech waves into recognizable morphemes. Analogously, continuous motions are segmented into recognizable unit actions. People can divide co…
  crossref Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi 等 2017-12-20T23:25:03Z 置信度 0.74 computer and information sciencescs.lgcs.cvcomputer sciencecs.ai
• Combined Computational Systems Biology and Computational Neuroscience Approaches Help Develop of Future “Cognitive Developmental Robotics”
  OPINION article Front. Neurorobot., 15 November 2017 Volume 11 - 2017 | https://doi.org/10.3389/fnbot.2017.00063
  crossref Faramarz Faghihi, Ahmed A. Moustafa 2017-11-15T07:42:12Z 置信度 0.65
• Improved object detection method for autonomous driving based on DETR
  Object detection is a critical component in the development of autonomous driving technology and has demonstrated significant growth potential. To address the limitations of current techniques, this paper presents an improved object detection method for autono…
  crossref Huaqi Zhao, Songnan Zhang, Xiang Peng, Zhengguang Lu 等 2025-01-20T02:20:50Z 置信度 0.73 computer and information sciencescs.lgcs.cvcomputer scienceelectrical engineering, electronic engineering, information engineering
• Preferred Interaction Styles for Human-Robot Collaboration Vary Over Tasks With Different Action Types
  How do humans want to interact with collaborative robots? As robots become more common and useful not only in industry but also in the home, they will need to interact with humans to complete many varied tasks. Previous studies have demonstrated that autonomou…
  crossref Ruth Schulz, Philipp Kratzer, Marc Toussaint 2018-07-04T00:24:55Z 置信度 0.78 human-computer interactionroboticscomputer and information sciencescs.lgcs.ai
• Recognition and Classification of Ship Images Based on SMS-PCNN Model
  In the field of ship image recognition and classification, traditional algorithms lack attention to the differences between the grain of ship images. The differences in the hull structure of different categories of ships are reflected in the coarse-grain, wher…
  crossref Fengxiang Wang, Huang Liang, Yalun Zhang, Qingxia Xu 等 2022-06-13T10:36:11Z 置信度 0.76 convolutional neural networkcs.cvcs.lgeess.ivartificial neural network
• Editorial: Body Representations, Peripersonal Space, and the Self: Humans, Animals, Robots
  The presence of various “body maps” in the brain has fascinated scientists and the general public alike, spurred by the account of Head and Holmes (1911) and the discovery of the somatotopic representations (the “homunculi”) in the primary motor and somatosens…
  crossref Matej Hoffmann, Pablo Lanillos, Lorenzo Jamone, Alex Pitti 等 2020-06-16T08:33:06Z 置信度 0.79 neurosciencepsychologycognitive psychologysocial and behavioral sciencesastrobiology
• Application of Intelligent Inspection Robot in Coal Mine Industrial Heritage Landscape: Taking Wangshiwa Coal Mine as an Example
  This study is developed to explore the role of intelligent inspection robot in the protection and utilization of coal mine industrial heritage. Based on the actual situation of the coal mine, the underground planning protection scope is analyzed. Aiming at the…
  crossref Yan Shen, Yu Li, Zengping Li 2022-06-23T08:16:54Z 置信度 0.76 robotindustry 4.0systems engineeringengineeringunderwater
• Improving the Robustness of Human-Machine Interactive Control for Myoelectric Prosthetic Hand During Arm Position Changing
  Robust classification of natural hand grasp type based on electromyography (EMG) still has some shortcomings in the practical prosthetic hand control, owing to the influence of dynamic arm position changing during hand actions. This study provided a framework …
  crossref Ang Ke, Jian Huang, Jing Wang, Jiping He 2022-06-07T14:41:41Z 置信度 0.79 brain-computer interfacemotor imagerycomputer sciencecomputer and information scienceselectroencephalography
• Post-silicon nano-electronic device and its application in brain-inspired chips
  As information technology is moving toward the era of big data, the traditional Von-Neumann architecture shows limitations in performance. The field of computing has already struggled with the latency and bandwidth required to access memory (“the memory wall”)…
  crossref Yi Lv, Houpeng Chen, Qian Wang, Xi Li 等 2022-07-27T06:32:55Z 置信度 0.79 computer scienceneuromorphic engineeringartificial intelligencephotonicsartificial neural network
• 4D trajectory lightweight prediction algorithm based on knowledge distillation technique
  Introduction To address the challenges of current 4D trajectory prediction—specifically, limited multi-factor feature extraction and excessive computational cost—this study develops a lightweight prediction framework tailored for real-time air-traffic manageme…
  crossref Weizhen Tang, Jie Dai, Zhousheng Huang, Boyang Hao 等 2025-08-22T05:27:55Z 置信度 0.73 computer and information sciencescomputer sciencecs.lgelectrical engineering, electronic engineering, information engineeringartificial intelligence
• Path Planning in Localization Uncertaining Environment Based on Dijkstra Method
  Path planning obtains the trajectory from one point to another with the robot's kinematics model and environment understanding. However, as the localization uncertainty through the odometry sensors is inevitably affected, the position of the moving path will d…
  crossref Can Wang, Chensheng Cheng, Dianyu Yang, Guang Pan 等 2022-03-11T04:16:41Z 置信度 0.76 control theoryelectrical engineering, electronic engineering, information engineeringunderwatereess.sysystems and control
• Application of Deep Convolution Network Algorithm in Sports Video Hot Spot Detection
  Sports videos are blowing up over the internet with enriching material life and the higher pursuit of spiritual life of people. Thus, automatically identifying and detecting helpful information from videos have arisen as a relatively novel research direction. …
  crossref Yaling Zhang, Huan Tang, Fateh Zereg, Dekai Xu 2022-06-03T10:15:32Z 置信度 0.79 convolutional neural networkartificial intelligencecomputer sciencecs.lgartificial neural network
• CNN Based Detectors on Planetary Environments: A Performance Evaluation
  An essential characteristic that an exploration robot must possess is to be autonomous. This is necessary because it will usually do its task in remote or hard-to-reach places. One of the primary elements of a navigation system is the information that can be a…
  crossref Federico Furlán, Elsa Rubio, Humberto Sossa, Víctor Ponce 2020-10-30T09:44:31Z 置信度 0.79 computer scienceconvolutional neural networkartificial neural networkunderwatercs.ne
• A Spike-Based Neuromorphic Architecture of Stereo Vision
  The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems. As temporal information is a crucial feature in this process, the advent of even…
  crossref Nicoletta Risi, Alessandro Aimar, Elisa Donati, Sergio Solinas 等 2020-11-13T00:12:05Z 置信度 0.79 computer scienceneuromorphic engineeringcomputer and information sciencescs.lgartificial intelligence
• Editorial: Rehabilitation robotics: Challenges in design, control, and real applications
  In the last decade, research focused on rehabilitation robotics has progressed from proposing restricted or rigid solutions in a clinical setting to portable devices compliant with the user and also adapted to the their requirements, based on their disability …
  crossref Francisco Romero-Sánchez, Luciano Luporini Menegaldo, Josep M. Font-Llagunes, Massimo Sartori 2022-07-27T07:18:10Z 置信度 0.79 brain-computer interfacerehabilitationphysical medicine and rehabilitationroboticscomputer science
• Neural Activations Associated With Friction Stimulation on Touch-Screen Devices
  Tactile sensation largely influences human perception, for instance when using a mobile device or a touch screen. Active touch, which involves tactile and proprioceptive sensing under the control of movement, is the dominant tactile exploration mechanism compa…
  crossref Wanjoo Park, Muhammad Hassan Jamil, Mohamad Eid 2019-05-29T04:42:39Z 置信度 0.79 brain-computer interfaceelectroencephalographypsychologycognitive psychologyphysical medicine and rehabilitation
• A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives
  In this article, we propose an architecture of a bio-inspired controller that addresses the problem of learning different locomotion gaits for different robot morphologies. The modeling objective is split into two: baseline motion modeling and dynamics adaptat…
  crossref Cai Li, Robert Lowe, Tom Ziemke 2014-11-07T07:56:33Z 置信度 0.78 cs.lgcomputer sciencereinforcement learningrobotcs.ro
• RFG-TVIU: robust factor graph for tightly coupled vision/IMU/UWB integration
  High precision navigation and positioning technology, as a fundamental function, is gradually occupying an indispensable position in the various fields. However, a single sensor cannot meet the navigation requirements in different scenarios. This paper propose…
  crossref Gongjun Fan, Qing Wang, Gaochao Yang, Pengfei Liu 2024-04-29T04:35:34Z 置信度 0.78 computer sciencecomputer and information scienceseess.syunderwatercs.lg
• SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model
  To realize human-like robot intelligence, a large-scale cognitive architecture is required for robots to understand their environment through a variety of sensors with which they are equipped. In this paper, we propose a novel framework named Serket that enabl…
  crossref Tomoaki Nakamura, Takayuki Nagai, Tadahiro Taniguchi 2018-06-26T04:53:03Z 置信度 0.74 computer and information sciencescs.aicomputer sciencecs.lgrobot
• Performance of Impedance Control-Based Strategies in Power-Assisted Wheelchairs: A Predictive Simulation Study
  Manual wheelchair propulsion is known to be inefficient and causes upper extremity pain, fatigue, and injury. Power-assisted wheelchairs can mitigate these effects through motors that reduce users' effort and load during propulsion. Among the different control…
  crossref Vinicius Ishimoto Cuerva, Marko Ackermann, Fabrizio Leonardi 2022-03-04T04:45:01Z 置信度 0.76 control theoryrobotprocess engineeringprocessclimatology
• Posture-invariant myoelectric control with self-calibrating random forests
  Introduction Myoelectric control systems translate different patterns of electromyographic (EMG) signals into the control commands of diverse human-machine interfaces via hand gesture recognition, enabling intuitive control of prosthesis and immersive interact…
  crossref Xinyu Jiang, Chenfei Ma, Kianoush Nazarpour 2024-12-04T06:48:00Z 置信度 0.82 computer sciencecomputer and information sciencesbrain-computer interfaceroboticshuman-computer interaction
• Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures
  Ergonomics of human workers is one of the key elements in design and evaluation of production processes. Human ergonomics have a major impact on productivity as well as chronic health risks incurred by inappropriate working postures and conditions. In this pap…
  crossref Luka Peternel, Daniel Tofte Schøn, Cheng Fang 2021-01-08T04:43:07Z 置信度 0.71 computer and information sciencesmath.occontrol theoryinformation theorycs.et
• Toward More Robust Hand Gesture Recognition on EIT Data
  Striving for more robust and natural control of multi-fingered hand prostheses, we are studying electrical impedance tomography (EIT) as a method to monitor residual muscle activations. Previous work has shown promising results for hand gesture recognition, bu…
  crossref David P. Leins, Christian Gibas, Rainer Brück, Robert Haschke 2021-08-11T07:23:48Z 置信度 0.79 computer sciencebrain-computer interfacecs.lgartificial intelligencecomputer and information sciences
• Flexible control and trajectory planning of medical two-arm surgical robot
  This paper introduces the flexible control and trajectory planning medical two-arm surgical robots, and employs effective collision detection methods to ensure the safety and precision during tasks. Firstly, the DH method is employed to establish relative rota…
  crossref Yanchun Xie, Xue Zhao, Yang Jiang, Yao Wu 等 2024-09-02T09:14:40Z 置信度 0.82 roboticscomputer and information sciencescomputer sciencerobotelectrical engineering, electronic engineering, information engineering
• Effects of emotional valence and arousal on acoustic duration reproduction assessed via the “dual klepsydra model”
  We report results of an acoustic duration reproduction task with stimulus duration of 2, 4, and 6 s, using 45 emotionally negative, positive, and neutral sounds from the International Affective Digitized Sounds System, in a sample of 31 young healthy participa…
  crossref Jiří Wackermann, Karin Meissner, Dharol Tankersley, Marc Wittmann 2014-02-28T07:41:58Z 置信度 0.78 social and behavioral sciencespsychologyphysicsbiological sciencescognitive psychology
• Commentary: Proceedings of the First Workshop on Peripheral Machine Interfaces: Going beyond Traditional Surface Electromyography
  GENERAL COMMENTARY article Front. Neurorobot., 05 July 2017 Volume 11 - 2017 | https://doi.org/10.3389/fnbot.2017.00032
  crossref Philipp Beckerle 2017-07-05T07:30:29Z 置信度 0.68
• Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics
  EDITORIAL article Front. Neurorobot., 22 October 2019 | https://doi.org/10.3389/fnbot.2019.00083
  crossref Tadahiro Taniguchi, Emre Ugur, Tetsuya Ogata, Takayuki Nagai 等 2019-10-22T08:02:46Z 置信度 0.66
• Parking Slot Detection on Around-View Images Using DCNN
  Due to the complex visual environment and incomplete display of parking slots on around-view images, vision-based parking slot detection is a major challenge. Previous studies in this field mostly use the existing models to solve the problem, the steps of whic…
  crossref Wei Li, Hu Cao, Jiacai Liao, Jiahao Xia 等 2020-07-24T16:07:35Z 置信度 0.79 cs.lgcs.cvconvolutional neural networkcomputer and information sciencescs.ai
• Dynamic Task Allocation in Multi-Robot System Based on a Team Competition Model
  In recent years, it is a trend to integrate the ideas in game theory into the research of multi-robot system. In this paper, a team-competition model is proposed to solve a dynamic multi-robot task allocation problem. The allocation problem asks how to assign …
  crossref Kai Jin, Pingzhong Tang, Shiteng Chen, Jianqing Peng 2021-05-20T06:28:26Z 置信度 0.79 cs.rocs.marobotunderwatercs.ai
• End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture
  To enhance the obstacle avoidance performance and autonomous decision-making capabilities of robots in complex dynamic environments, this paper proposes an end-to-end intelligent obstacle avoidance method that integrates deep reinforcement learning, spatiotemp…
  crossref Yuwen Zhou, Weizhong Zhang 2025-10-08T05:40:44Z 置信度 0.82 computer scienceartificial intelligencecomputer and information sciencesroboticscs.lg
• Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks
  The objective of this study is to develop a method for alleviating a novel pattern interference toward achieving a robust myoelectric pattern-recognition control system. To this end, a framework was presented for surface electromyogram (sEMG) pattern classific…
  crossref Le Wu, Xun Chen, Xiang Chen, Xu Zhang 2022-03-30T02:09:42Z 置信度 0.79 computer sciencebrain-computer interfacecomputer and information sciencescs.lgconvolutional neural network
• A lightweight multi-dimension dynamic convolutional network for real-time semantic segmentation
  Semantic segmentation can address the perceived needs of autonomous driving and micro-robots and is one of the challenging tasks in computer vision. From the application point of view, the difficulty faced by semantic segmentation is how to satisfy inference s…
  pubmed Chunyu Zhang, Fang Xu, Chengdong Wu, Chenglong Xu 等 2022 置信度 0.93 computer and information sciencescs.cvcs.lgcs.aicomputer science
• Morphological Properties of Mass–Spring Networks for Optimal Locomotion Learning
  Robots have proven very useful in automating industrial processes. Their rigid components and powerful actuators, however, render them unsafe or unfit to work in normal human environments such as schools or hospitals. Robots made of compliant, softer materials…
  crossref Gabriel Urbain, Jonas Degrave, Benonie Carette, Joni Dambre 等 2017-03-26T23:47:21Z 置信度 0.78 computer sciencerobotroboticscomputer and information scienceselectrical engineering, electronic engineering, information engineering
• A Novel DenseNet Generative Adversarial Network for Heterogenous Low-Light Image Enhancement
  With the development of computer vision, high quality images with rich information have great research potential in both daily life and scientific research. However, due to different lighting conditions, surrounding noise and other reasons, the image quality i…
  crossref Jingsi Zhang, Chengdong Wu, Xiaosheng Yu, Xiaoliang Lei 2021-06-30T07:34:04Z 置信度 0.79 cs.cveess.ivconvolutional neural networkcs.lgcomputer vision
• Distributed model-free formation control of networked fully-actuated autonomous surface vehicles
  This paper presents a distributed constant bearing guidance and model-free disturbance rejection control method for formation tracking of autonomous surface vehicles subject to fully unknown kinetic model. First, a distributed constant bearing guidance law is …
  crossref Xiaobing Niu, Shengnan Gao, Zhibin Xu, Shiliang Feng 2022-09-29T15:03:37Z 置信度 0.79 control theoryeess.syunderwaterrobotelectrical engineering, electronic engineering, information engineering
• Designing Physical Human-Robot Interaction Interfaces: A Scalable Method for Simulation Based Design
  Designing the physical coupling between the human body and the wearable robot is a challenging endeavor. The typical approach of tightening the wearable robot against the body, and softening the interface materials does not work well. It makes the task of simu…
  crossref Rohit John Varghese, Gaurav Mukherjee, Ashish Deshpande 2022-02-18T12:40:48Z 置信度 0.79 robothuman-computer interactionroboticswearable computersoft robotics
• A Developmental Learning Approach of Mobile Manipulator via Playing
  Inspired by infant development theories, a robotic developmental model combined with game elements is proposed in this paper. This model does not require the definition of specific developmental goals for the robot, but the developmental goals are implied in t…
  crossref Ruiqi Wu, Changle Zhou, Fei Chao, Zuyuan Zhu 等 2017-10-04T00:15:38Z 置信度 0.74 robotcs.roreinforcement learningtaskunderwater
• Editorial: Advances in Musculoskeletal Modeling and Their Application to Neurorehabilitation
  EDITORIAL article Front. Neurorobot., 09 October 2020 | https://doi.org/10.3389/fnbot.2020.00065
  crossref Mohammad S. Shourijeh, Naser Mehrabi, John J. McPhee, Benjamin J. Fregly 2020-10-14T06:55:17Z 置信度 0.66
• Learning generalizable behaviors from demonstration
  Generalizing prior experiences to complete new tasks is a challenging and unsolved problem in robotics. In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control ( PICO ). The approach combines ideas from …
  crossref Corban Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley 等 2022-10-03T05:58:19Z 置信度 0.76 cs.aireinforcement learningrobotcomputer and information sciencestask
• A Cooperative Shared Control Scheme Based on Intention Recognition for Flexible Assembly Manufacturing
  Human–robot collaboration (HRC) has been widely utilized in industrial manufacturing and requires a human to cooperate with a robot at the same workspace. However, as HRC focuses on workspace sharing along with independent work, it is not a real collaboration …
  crossref Guangbing Zhou, Jing Luo, Shugong Xu, Shunqing Zhang 2022-03-16T11:32:10Z 置信度 0.79 robotcomputer scienceroboticsunderwatercontrol theory
• Robotic Exoskeleton Gait Training in Stroke: An Electromyography-Based Evaluation
  The recovery of symmetric and efficient walking is one of the key goals of a rehabilitation program in patients with stroke. The use of overground exoskeletons alongside conventional gait training might help foster rhythmic muscle activation in the gait cycle …
  crossref Valeria Longatelli, Alessandra Pedrocchi, Eleonora Guanziroli, Franco Molteni 等 2021-12-01T09:05:44Z 置信度 0.79 physical medicine and rehabilitationrehabilitationmedicinebrain-computer interfacemotor imagery
• Application of convolutional neural network in fusion and classification of multi-source remote sensing data
  Introduction Through remote sensing images, we can understand and observe the terrain, and its application scope is relatively large, such as agriculture, military, etc. Methods In order to achieve more accurate and efficient multi-source remote sensing data f…
  pubmed Fanghong Ye, Zheng Zhou, Yue Wu, Bayarmaa Enkhtur 等 2022 置信度 0.93 cs.lgcomputer and information sciencesstat.mlcs.cvconvolutional neural network
• ModuCLIP: multi-scale CLIP framework for predicting foundation pit deformation in multi-modal robotic systems
  Introduction Foundation pit deformation prediction is a critical aspect of underground engineering safety assessment, influencing construction quality and personnel safety. However, due to complex geological conditions and numerous environmental interference f…
  crossref Lin Wenbo, Li Tingting, Li Xiao 2025-04-01T05:26:18Z 置信度 0.82 cs.lgcomputer scienceartificial intelligencecomputer and information sciencescs.ai
• A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain
  With the rapid development of artificial intelligence, Cybernetics, and other High-tech subject technology, robots have been made and used in increasing fields. And studies on robots have attracted growing research interests from different communities. The kno…
  crossref Yichen Song, Aiping Li, Hongkui Tu, Kai Chen 等 2021-05-11T05:50:03Z 置信度 0.79 computer sciencerobotcs.lgcs.airobotics
• The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing
  This paper develops a digital watermarking algorithm using an informed watermark retrieval architecture. The developed method uses the fractional Fourier transform to embed the watermark in the space-frequency domain and extracts the watermark using blind sour…
  pubmed Rani Kumari, Abhijit Mustafi, Kumari R, Mustafi A 2022 置信度 0.89 algorithmai governancecryptography and securityartificial neural networkeess.iv
• Control of Newly-Designed Wearable Robotic Hand Exoskeleton Based on Surface Electromyographic Signals
  The human hand plays a role in a variety of daily activities. This intricate instrument is vulnerable to trauma or neuromuscular disorders. Wearable robotic exoskeletons are an advanced technology with the potential to remarkably promote the recovery of hand f…
  crossref Ke Li, Zhengzhen Li, Haibin Zeng, Na Wei 2021-09-15T15:31:19Z 置信度 0.79 brain-computer interfacephysical medicine and rehabilitationrehabilitationmotor imageryelectroencephalography
• Mind the matter: Active matter, soft robotics, and the making of bio-inspired artificial intelligence
  Philosophical and theoretical debates on the multiple realisability of the cognitive have historically influenced discussions of the possible systems capable of instantiating complex functions like memory, learning, goal-directedness, and decision-making. Thes…
  pubmed David Harrison, Wiktor Rorot, Urte Laukaityte, Harrison D 等 2022 置信度 0.93 cognitionpsychologycognitive scienceembodied cognitioncs.ai
• A dynamic integrated scheduling method based on hierarchical planning for heterogeneous AGV fleets in warehouses
  In modern industrial warehouses, heterogeneous and flexible fleets of automated guided vehicles (AGVs) are widely used to improve transport efficiency. However, as their scale and limit of battery capacity increase, the complexity of dynamic scheduling also in…
  pubmed Enze Hu, Jianjun He, Shuai Shen, Hu E 等 2022 置信度 0.83 math.oceess.sydistributed computingcomputer and information sciencescs.ni
• Editorial: Recent advances in artificial neural networks and embedded systems for multi-source image fusion
  Editorial: Recent advances in artificial neural networks and embedded systems for multi-source image fusion
  crossref Xin Jin, Jingyu Hou, Shin-Jye Lee, Dongming Zhou 2022-08-03T05:27:12Z 置信度 0.70
• Continuous Multi-DoF Wrist Kinematics Estimation Based on a Human–Machine Interface With Electrical-Impedance-Tomography
  This study proposed a multiple degree-of-freedom (DoF) continuous wrist angle estimation approach based on an electrical impedance tomography (EIT) interface. The interface can inspect the spatial information of deep muscles with a soft elastic fabric sensing …
  crossref Enhao Zheng, Jingzhi Zhang, Qining Wang, Hong Qiao 2021-10-01T05:13:22Z 置信度 0.79 brain-computer interfacemotor imagerysignal processinginterfaceelectroencephalography
• Editorial: Human-Like Advances in Robotics: Motion, Actuation, Sensing, Cognition and Control
  EDITORIAL article Front. Neurorobot., 16 October 2019 | https://doi.org/10.3389/fnbot.2019.00085
  crossref Kosta Jovanović, Tadej Petrič, Toshiaki Tsuji, Calogero Maria Oddo 2019-10-16T00:40:17Z 置信度 0.66
• I-BaR: integrated balance rehabilitation framework
  Neurological diseases are observed in approximately 1 billion people worldwide. A further increase is foreseen at the global level as a result of population growth and aging. Individuals with neurological disorders often experience cognitive, motor, sensory, a…
  crossref Tugce Ersoy, Pınar Kaya, Elif Hocaoglu, Ramazan Unal 2024-07-03T05:34:28Z 置信度 0.82 physical medicine and rehabilitationrehabilitationmedicinebrain-computer interfaceneuroscience
• An Intuitive End-to-End Human-UAV Interaction System for Field Exploration
  This paper presents an intuitive end-to-end interaction system between a human and a hexacopter Unmanned Aerial Vehicle (UAV) for field exploration in which the UAV can be commanded by natural human poses. Moreover, LEDs installed on the UAV are used to commun…
  crossref Ran Jiao, Zhaowei Wang, Ruihang Chu, Mingjie Dong 等 2020-02-14T05:19:27Z 置信度 0.76 cs.roelectrical engineering, electronic engineering, information engineeringrobotcomputer and information sciencesunderwater
• Hybrid FES-exoskeleton control: Using MPC to distribute actuation for elbow and wrist movements
  Introduction Individuals who have suffered a cervical spinal cord injury prioritize the recovery of upper limb function for completing activities of daily living. Hybrid FES-exoskeleton systems have the potential to assist this population by providing a portab…
  pubmed Nathan Dunkelberger, Jeffrey Berning, Eric M. Schearer, Marcia K. O'Malley 等 2023 置信度 0.93 computer sciencebrain-computer interfacephysical medicine and rehabilitationcomputer and information sciencesrobotics
• An advanced bionic knee joint mechanism with neural network controller
  In this article, a tensegrity-based knee mechanism is studied for developing a high-efficiency rehabilitation knee exoskeleton. Moreover, the kinematics and dynamics models of the knee mechanism are explored for bringing about further improvement in controller…
  pubmed Changxian Xu, Zhongbo Sun, Chen Wang, Xiujun Wu 等 2023 置信度 0.93 control theoryrobustnessrobotmotor imagerysystems and control
• Replicating Human Hand Synergies Onto Robotic Hands: A Review on Software and Hardware Strategies
  This review reports the principal solutions proposed in the literature to reduce the complexity of the control and of the design of robotic hands taking inspiration from the organization of the human brain. Several studies in neuroscience concerning the sensor…
  crossref Gionata Salvietti 2018-06-07T12:48:12Z 置信度 0.78 robotcontrol theoryhuman-computer interactionmarine engineeringcontrol
• Editorial: Cross-Modal Learning: Adaptivity, Prediction and Interaction
  EDITORIAL article Front. Neurorobot., 04 April 2022 https://doi.org/10.3389/fnbot.2022.889911
  crossref Jianwei Zhang, Stefan Wermter, Fuchun Sun, Changshui Zhang 等 2022-04-05T13:06:36Z 置信度 0.66
• Cascade contour-enhanced panoptic segmentation for robotic vision perception
  Panoptic segmentation plays a crucial role in enabling robots to comprehend their surroundings, providing fine-grained scene understanding information for robots' intelligent tasks. Although existing methods have made some progress, they are prone to fail in a…
  crossref Yue Xu, Runze Liu, Dongchen Zhu, Lili Chen 等 2024-10-21T05:10:21Z 置信度 0.82 computer scienceartificial intelligencecomputer and information sciencescs.cvcs.lg
• Robust tracking for functional electrical stimulation cycling with unknown time-varying input delays: A switched systems approach
  Motorized functional electrical stimulation (FES) cycling has been demonstrated to have numerous health benefits for individuals suffering from neurological disorders. FES-cycling is usually designed to track the desired trajectories in real time. However, the…
  pubmed Xianfang Tong, Yanzheng Zhu, Tong X, Zhu Y 2022 置信度 0.93 control theoryphysical medicine and rehabilitationrobotbrain-computer interfaceneuroscience
• ISFM-SLAM: dynamic visual SLAM with instance segmentation and feature matching
  Introduction Simultaneous Localization and Mapping (SLAM) is a technology used in intelligent systems such as robots and autonomous vehicles. Visual SLAM has become a more popular type of SLAM due to its acceptable cost and good scalability when applied in rob…
  crossref Chao Li, Yang Hu, Jianqiang Liu, Jianhai Jin 等 2024-11-20T10:10:01Z 置信度 0.78 computer sciencecomputer and information sciencesartificial intelligenceelectrical engineering, electronic engineering, information engineeringcs.cv