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• Research on control strategy of vehicle stability based on dynamic stable region regression analysis.
  The intervention time of stability control system is determined by stability judgment, which is the basis of vehicle stability control. According to the different working conditions of the vehicle, we construct the phase plane of the vehicle's sideslip angle a…
  pubmed Liu Z, Li Y, Li W, Li Z 等 2023 置信度 0.93 control theorysystems and controlcontroleess.symath.oc
• EMG-Based Estimation of Lower Limb Joint Angles and Moments Using Long Short-Term Memory Network.
  One of the fundamental limitations in human biomechanics is that we cannot directly obtain joint moments during natural movements without affecting the motion. However, estimating these values is feasible with inverse dynamics computation by employing external…
  pubmed Truong MTN, Ali AEA, Owaki D, Hayashibe M 2023 Mar 22 置信度 0.93 brain-computer interfacecomputer and information sciencesroboticsphysical medicine and rehabilitationcs.lg
• Hierarchical strategy for sEMG classification of the hand/wrist gestures and forces of transradial amputees.
  The myoelectric control strategy, based on surface electromyographic signals, has long been used for controlling a prosthetic system with multiple degrees of freedom. Several methods classify gestures and force levels but the simultaneous real-time control of …
  pubmed Leone F, Mereu F, Gentile C, Cordella F 等 2023 置信度 0.90 interfacebrain-computer interfacecontrol theorycontrolcs.hc
• Real-time vehicle target detection in inclement weather conditions based on YOLOv4.
  As a crucial component of the autonomous driving task, the vehicle target detection algorithm directly impacts driving safety, particularly in inclement weather situations, where the detection precision and speed are significantly decreased. This paper investi…
  pubmed Wang R, Zhao H, Xu Z, Ding Y 等 2023 置信度 0.83 electrical engineering, electronic engineering, information engineeringunderwatercs.lgcs.cvconvolutional neural network
• Learning robotic manipulation skills with multiple semantic goals by conservative curiosity-motivated exploration.
  Reinforcement learning (RL) empowers the agent to learn robotic manipulation skills autonomously. Compared with traditional single-goal RL, semantic-goal-conditioned RL expands the agent capacity to accomplish multiple semantic manipulation instructions. Howev…
  pubmed Han C, Peng Z, Liu Y, Tang J 等 2023 置信度 0.89 cs.lgreinforcement learningcs.aics.cvartificial intelligence
• Model pruning based on filter similarity for edge device deployment.
  Filter pruning is widely used for inference acceleration and compatibility with off-the-shelf hardware devices. Some filter pruning methods have proposed various criteria to approximate the importance of filters, and then sort the filters globally or locally t…
  pubmed Wu T, Song C, Zeng P 2023 置信度 0.83 computer and information sciencescs.lgcomputer sciencebrain-computer interfaceelectrical engineering, electronic engineering, information engineering
• Do different robot appearances change emotion recognition in children with ASD?
  Socially Assistive Robotics has emerged as a potential tool for rehabilitating cognitive and developmental disorders in children with autism. Social robots found in the literature are often able to teach critical social skills, such as emotion recognition and …
  pubmed Pinto-Bernal MJ, Sierra M SD, Munera M, Casas D 等 2023 置信度 0.89 psychologyhuman-computer interactionroboticscognitioncognitive science
• Continuous versus discrete robotic feedback for brain-computer interfaces aimed for neurorehabilitation.
  Brain-Computer Interfaces (BCI) can allow control of external devices using motor imagery (MI) decoded from electroencephalography (EEG). Although BCI have a wide range of applications including neurorehabilitation, the low spatial resolution of EEG, coupled t…
  pubmed Carino-Escobar RI, Rodríguez-García ME, Carrillo-Mora P, Valdés-Cristerna R 等 2023 置信度 0.90 brain-computer interfaceelectroencephalographymotor imageryinterfacephysical medicine and rehabilitation
• Viewpoint planning with transition management for active object recognition.
  Active object recognition (AOR) provides a paradigm where an agent can capture additional evidence by purposefully changing its viewpoint to improve the quality of recognition. One of the most concerned problems in AOR is viewpoint planning (VP) which refers t…
  pubmed Sun H, Zhu F, Li Y, Zhao P 等 2023 置信度 0.83 reinforcement learningcs.lgcs.macomputer and information sciencesmath.oc
• Reinforcement learning based variable damping control of wearable robotic limbs for maintaining astronaut pose during extravehicular activity.
  As astronauts perform on-orbit servicing of extravehicular activity (EVA) without the help of the space station's robotic arms, it will be rather difficult and labor-consuming to maintain the appropriate position in case of impact. In order to solve this probl…
  pubmed Zhao S, Zheng T, Sui D, Zhao J 等 2023 置信度 0.89 control theoryunderwaterrobotsystems and controlelectrical engineering, electronic engineering, information engineering
• Efficient three-dimensional point cloud object detection based on improved Complex-YOLO.
  Lidar-based 3D object detection and classification is a critical task for autonomous driving. However, inferencing from exceedingly sparse 3D data in real-time is a formidable challenge. Complex-YOLO solves the problem of point cloud disorder and sparsity by p…
  pubmed Shao Y, Sun Z, Tan A, Yan T 2023 置信度 0.89 computer sciencecomputer and information sciencesartificial intelligencecs.cvconvolutional neural network
• Editorial: Neuromodulation in COVID-19: From basic research to clinical applications.
  pubmed Kaniusas E, Fudim M, Czura CJ, Panetsos F 2023 置信度 0.72
• A multi-scale pooling convolutional neural network for accurate steel surface defects classification.
  Surface defect detection is an important technique to realize product quality inspection. In this study, we develop an innovative multi-scale pooling convolutional neural network to accomplish high-accuracy steel surface defect classification. The model was bu…
  pubmed Fu G, Zhang Z, Le W, Li J 等 2023 置信度 0.93 cs.lgconvolutional neural networkcomputer scienceartificial intelligencecs.cv
• PREDICTOR: A Physical emulatoR enabling safEty anD ergonomICs evaluation and Training of physical human-rObot collaboRation.
  Safety and ergonomics of Physical Human-Robot Collaboration (PHRC) are crucial to make human-robot collaborative systems trustworthy and make a significant impact in real-world applications. One big obstacle to the development of relevant research is the lack …
  pubmed Sunesson CE, Schøn DT, Hassø CNP, Chinello F 等 2023 置信度 0.89 robotcomputer sciencehuman-computer interactionroboticscs.ro
• Soft-body dynamics induces energy efficiency in undulatory swimming: A deep learning study.
  Recently, soft robotics has gained considerable attention as it promises numerous applications thanks to unique features originating from the physical compliance of the robots. Biomimetic underwater robots are a promising application in soft robotics and are e…
  pubmed Li G, Shintake J, Hayashibe M 2023 置信度 0.93 robotsoft roboticsroboticsunderwaterreinforcement learning
• Design of a SMA-based soft composite structure for wearable rehabilitation gloves.
  The combination of smart soft composite structure based shape memory alloy (SMA) and exoskeleton technology has the advantages of light weight, energy saving, and great human-exoskeleton interaction. However, there are no relevant studies on the application of…
  pubmed Xie Q, Meng Q, Yu W, Wu Z 等 2023 置信度 0.93 materials sciencerobotwearable computersoft roboticsrobotics
• Neural network aided flexible joint optimization with design of experiment method for nuclear power plant inspection robot.
  The flexible joint is a crucial component for the inspection robot to flexible interaction with nuclear power facilities. This paper proposed a neural network aided flexible joint structure optimization method with the Design of Experiment (DOE) method for the…
  pubmed Wang G, Li J, Ma X, Chen X 等 2023 置信度 0.90 control theorysoft roboticsrobotmath.ocartificial neural network
• DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model.
  Recent adversarial attack research reveals the vulnerability of learning-based deep learning models (DNN) against well-designed perturbations. However, most existing attack methods have inherent limitations in image quality as they rely on a relatively loose n…
  pubmed Liu R, Jin X, Hu D, Zhang J 等 2023 置信度 0.93 cs.lgcs.aics.cvcomputer scienceartificial intelligence
• Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle.
  This study explains how the leader-follower relationship and turn-taking could develop in a dyadic imitative interaction by conducting robotic simulation experiments based on the free energy principle. Our prior study showed that introducing a parameter during…
  pubmed Wirkuttis N, Ohata W, Tani J 2023 Jan 31 置信度 0.89 psychologysocial and behavioral sciencescognitive psychologymeteoritephysics.plasm-ph
• Adaptive neural network projection analytical fault-tolerant control of underwater salvage robot with event trigger.
  To solve the problem of control failure caused by system failure of deep-water salvage equipment under severe sea conditions, an event-triggered fault-tolerant control method (PEFC) based on proportional logarithmic projection analysis is proposed innovatively…
  pubmed Guo G, Zhang Q, Zhang Y, Tan W 等 2022 置信度 0.90 control theorymath.occontrolai safetyai governance
• Bio-inspired neural networks for decision-making mechanisms and neuromodulation for motor control in a differential robot.
  The aim of this work is to propose bio-inspired neural networks for decision-making mechanisms and modulation of motor control of an automaton. In this work, we have adapted and applied cortical synaptic circuits, such as short-term memory circuits, winner-tak…
  pubmed Guerrero-Criollo RJ, Castaño-López JA, Hurtado-López J, Ramirez-Moreno DF 2023 置信度 0.93 cs.necs.lgcomputer scienceartificial neural networkq-bio.nc
• Axonal Guidance Using Biofunctionalized Straining Flow Spinning Regenerated Silk Fibroin Fibers as Scaffold.
  After an injury, the limited regenerative capacity of the central nervous system makes the reconnection and functional recovery of the affected nervous tissue almost impossible. To address this problem, biomaterials appear as a promising option for the design …
  pubmed Castro-Domínguez C, Lozano-Picazo P, Álvarez-López A, Garrote-Junco J 等 2023 Feb 4 置信度 0.93 rehabilitationphysical medicine and rehabilitationq-bio.mnphysics.pop-phsocial and behavioral sciences
• Adaptive load feedback robustly signals force dynamics in robotic model of Carausius morosus stepping.
  Animals utilize a number of neuronal systems to produce locomotion. One type of sensory organ that contributes in insects is the campaniform sensillum (CS) that measures the load on their legs. Groups of the receptors are found on high stress regions of the le…
  pubmed Zyhowski WP, Zill SN, Szczecinski NS 2023 置信度 0.93 roboticsgeologymeteoritechemistryai governance
• Neural signatures of visuo-motor integration during human-robot interactions.
  Visuo-motor integration shapes our daily experience and underpins the sense of feeling in control over our actions. The last decade has seen a surge in robotically and virtually mediated interactions, whereby bodily actions ultimately result in an artificial m…
  pubmed Marchesotti S, Bernasconi F, Rognini G, De Lucia M 等 2022 置信度 0.93 brain-computer interfacepsychologyhuman-computer interactioncomputer scienceelectroencephalography
• Trans-UTPA: PSO and MADDPG based multi-UAVs trajectory planning algorithm for emergency communication.
  Communication infrastructure is damaged by disasters and it is difficult to support communication services in affected areas. UAVs play an important role in the emergency communication system. Due to the limited airborne energy of a UAV, it is a critical techn…
  pubmed Li J, Cao S, Liu X, Yu R 等 2022 置信度 0.93 cs.nielectrical engineering, electronic engineering, information engineeringcs.rosignal processingmath.oc
• Keyframe image processing of semantic 3D point clouds based on deep learning.
  With the rapid development of web technologies and the popularity of smartphones, users are uploading and sharing a large number of images every day. Therefore, it is a very important issue nowadays to enable users to discover exactly the information they need…
  pubmed Wang J, Lv W, Wang Z, Zhang X 等 2022 置信度 0.83 computer sciencecs.cvartificial intelligenceconvolutional neural networkeess.iv
• Prescribed performance adaptive event-triggered consensus control for multiagent systems with input saturation.
  In this paper, a prescribed performance adaptive event-triggered consensus control method is developed for a class of multiagent systems with the consideration of input dead zone and saturation. In practical engineering applications, systems are inevitably suf…
  pubmed Yue X, Liu J, Chen K, Zhang Y 等 2022 置信度 0.93 control theorycomputer sciencebrain-computer interfacemath.oceess.sy
• Effect analysis of neural network robot system in music relaxation training to alleviate adverse reactions of chemotherapy in patients with breast cancer.
  Music therapy is a common method to relieve anxiety and pain in cancer patients after surgery in recent years, but due to the lack of technical and algorithmic support, this therapy is not particularly stable and the therapeutic effect is not good. In this stu…
  pubmed Teng Y, Bao J, Li Y, Ye H 2023 置信度 0.93 cancermedicineinternal medicineartificial neural networkconvolutional neural network
• Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach.
  The dynamics of a robot may vary during operation due to both internal and external factors, such as non-ideal motor characteristics and unmodeled loads, which would lead to control performance deterioration and even instability. In this paper, the adaptive op…
  pubmed Zhang J, Li Z, Wang S, Dai Y 等 2022 置信度 0.93 robotcontrol theoryunderwaterroboticscomputer and information sciences
• A Siamese tracker with "dynamic-static" dual-template fusion and dynamic template adaptive update.
  In recent years, visual tracking algorithms based on Siamese networks have attracted attention for their desirable balance between speed and accuracy. The performance of such tracking methods relies heavily on target templates. Static templates cannot cope wit…
  pubmed Sun D, Wang X, Man Y, Deng N 等 2022 置信度 0.83 computer and information sciencescs.lgelectrical engineering, electronic engineering, information engineeringcontrol theoryartificial neural network
• Facial image inpainting for big data using an effective attention mechanism and a convolutional neural network.
  Big data facial image is an important identity information for people. However, facial image inpainting using existing deep learning methods has some problems such as insufficient feature mining and incomplete semantic expression, leading to output image artif…
  pubmed Lu X, Lu R, Zhao W, Ma E 2022 置信度 0.93 computer sciencecs.cvconvolutional neural networkcomputer and information sciencesartificial neural network
• A deep ensemble learning method for single finger-vein identification.
  Finger-vein biometrics has been extensively investigated for personal verification. Single sample per person (SSPP) finger-vein recognition is one of the open issues in finger-vein recognition. Despite recent advances in deep neural networks for finger-vein re…
  pubmed Liu C, Qin H, Song Q, Yan H 等 2022 置信度 0.89 cs.lgcomputer sciencebrain-computer interfaceartificial intelligenceconvolutional neural network
• Lower limb exoskeleton robot and its cooperative control: A review, trends, and challenges for future research.
  Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for assessing the robot's movements and the force they produce to generate efficient control signals. Interestingly, certain surveys were done to show off cutting-edge exos…
  pubmed Masengo G, Zhang X, Dong R, Alhassan AB 等 2022 置信度 0.93 controlroboticsrobotbrain-computer interfaceelectroencephalography
• Research on reinforcement learning-based safe decision-making methodology for multiple unmanned aerial vehicles.
  A system with multiple cooperating unmanned aerial vehicles (multi-UAVs) can use its advantages to accomplish complicated tasks. Recent developments in deep reinforcement learning (DRL) offer good prospects for decision-making for multi-UAV systems. However, t…
  pubmed Yue L, Yang R, Zhang Y, Zuo J 2022 置信度 0.83 reinforcement learningelectrical engineering, electronic engineering, information engineeringcomputer and information sciencescomputer scienceartificial intelligence
• Research on a hybrid neural network task assignment algorithm for solving multi-constraint heterogeneous autonomous underwater robot swarms.
  Studying the task assignment problem of multiple underwater robots has a broad effect on the field of underwater exploration and can be helpful in military, fishery, and energy. However, to the best of our knowledge, few studies have focused on multi-constrain…
  pubmed Ru J, Hao D, Zhang X, Xu H 等 2022 置信度 0.93 computer scienceunderwatercs.lgrobottask
• Multi-exposure electric power monitoring image fusion method without ghosting based on exposure fusion framework and color dissimilarity feature.
  To solve the ghosting artifacts problem in dynamic scene multi-scale exposure fusion, an improved multi-exposure fusion method has been proposed without ghosting based on the exposure fusion framework and the color dissimilarity feature of this study. This fus…
  pubmed Chen S, Li Z, Shen D, An Y 等 2022 置信度 0.83 cs.cvcomputer and information scienceseess.ivcomputer vision and pattern recognitionconvolutional neural network
• Actuation delay compensation of robots in semi-physical test.
  In general, the traditional spacecraft semi-physical docking tests include the evaluation of docking and separation performance. However, these tests often rely on "specific" equipment, such as specially designed actuators and fast-response hydraulic systems, …
  pubmed Zhang X, He Y, Xu Z, Jiang Z 等 2022 置信度 0.93 robotunderwaterelectrical engineering, electronic engineering, information engineeringcomputer sciencecomputer and information sciences
• Realistic Actor-Critic: A framework for balance between value overestimation and underestimation.
  The value approximation bias is known to lead to suboptimal policies or catastrophic overestimation bias accumulation that prevent the agent from making the right decisions between exploration and exploitation. Algorithms have been proposed to mitigate the abo…
  pubmed Li S, Tang Q, Pang Y, Ma X 等 2022 置信度 0.83 reinforcement learningcs.aics.cycs.lgstat.ml
• Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication.
  Although the increase in the use of dynamical modeling in the literature on cultural evolution makes current models more mathematically sophisticated, these models have yet to be tested or validated. This paper provides a testable deep active inference formula…
  pubmed Kastel N, Hesp C, Ridderinkhof KR, Friston KJ 2022 置信度 0.83 psychologycognitive sciencecognitive psychologysocial and behavioral sciencescognition
• Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome.
  We analyze the neural dynamics and their relation with the emergent actions of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans . The robot interacts with the envir…
  pubmed Valencia Urbina CE, Cannas SA, Gleiser PM 2022 置信度 0.93 q-bio.ncrobotphysics.bio-phcs.rocs.ne
• Dual-flow network with attention for autonomous driving.
  We present a dual-flow network for autonomous driving using an attention mechanism. The model works as follows: (i) The perception network extracts red, blue, and green (RGB) images from the video at low speed as input and performs feature extraction of the im…
  pubmed Yang L, Lei W, Zhang W, Ye T 2022 置信度 0.83 cs.rocs.cvunderwaterroboticscomputer and information sciences
• A gait phase prediction model trained on benchmark datasets for evaluating a controller for prosthetic legs.
  Powered lower-limb assistive devices, such as prostheses and exoskeletons, are a promising option for helping mobility-impaired individuals regain functional gait. Gait phase prediction plays an important role in controlling these devices and evaluating whethe…
  pubmed Kim M, Hargrove LJ 2022 置信度 0.89 brain-computer interfacecs.lgartificial neural networkphysical medicine and rehabilitationcomputer science
• Study on the enhancement method of online monitoring image of dense fog environment with power lines in smart city.
  In this research, an image defogging algorithm is proposed for the electricity transmission line monitoring system in the smart city. The electricity transmission line image is typically situated in the top part of the image which is rather thin in size. Becau…
  pubmed Zhang M, Song Z, Yang J, Gao M 等 2022 置信度 0.83 eess.ivconvolutional neural networkremote sensingmechanical engineeringcomputer vision and pattern recognition
• Anomaly detection in images with shared autoencoders.
  Anomaly detection is a classical problem in computer vision, namely the determination of the normal from the abnormal when datasets are highly biased toward one class (normal) due to the insufficient sample size of the other class (abnormal). We introduce a no…
  pubmed Jia H, Liu W 2022 置信度 0.93 cs.cvcs.lgcomputer and information sciencesstat.mlcs.ai
• Cloth manipulation planning on basis of mesh representations with incomplete domain knowledge and voxel-to-mesh estimation.
  Cloth manipulation is common in both housework and manufacturing. However, robotic cloth manipulation remains challenging, especially for less controlled and open-goal settings. We consider the problem of open-goal planning for robotic cloth manipulation, with…
  pubmed Arnold S, Tanaka D, Yamazaki K 2022 置信度 0.93 computer and information sciencesroboticscs.aielectrical engineering, electronic engineering, information engineeringcs.ro
• Robotic versus Conventional Overground Gait Training in Subacute Stroke Survivors: A Multicenter Controlled Clinical Trial.
  Although stroke survivors can benefit from robotic gait rehabilitation, stationary robot-assisted gait training needs further investigation. In this paper, we investigated the efficacy of this approach (with an exoskeleton or an end-effector robot) in comparis…
  pubmed Pournajaf S, Calabrò RS, Naro A, Goffredo M 等 2023 Jan 5 置信度 0.86 rehabilitationphysical medicine and rehabilitationmotor imagerybrain-computer interfaceinternal medicine
• The Efficacity of the NeuroAssist Robotic System for Motor Rehabilitation of the Upper Limb-Promising Results from a Pilot Study.
  The research aimed to evaluate the efficacy of the NeuroAssist, a parallel robotic system comprised of three robotic modules equipped with human-robot interaction capabilities, an internal sensor system for torque monitoring, and an external sensor system for …
  pubmed Tohanean N, Tucan P, Vanta OM, Abrudan C 等 2023 Jan 4 置信度 0.93 physical medicine and rehabilitationmedicinerehabilitationbrain-computer interfaceinternal medicine
• Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation.
  Brain-Computer Interfaces (BCI) promote upper limb recovery in stroke patients reinforcing motor related brain activity (from electroencephalogaphy, EEG). Hybrid BCIs which include peripheral signals (electromyography, EMG) as control features could be employe…
  pubmed Pichiorri F, Toppi J, de Seta V, Colamarino E 等 2023 Jan 14 置信度 0.93 brain-computer interfacephysical medicine and rehabilitationrehabilitationmotor imageryelectroencephalography
• A CW-CNN regression model-based real-time system for virtual hand control.
  For upper limb amputees, wearing a myoelectric prosthetic hand is the only way for them to continue normal life. Even until now, the proposal of a high-precision and natural performance real-time control system based on surface electromyography (sEMG) signals …
  pubmed Qin Z, He Z, Li Y, Saetia S 等 2022 置信度 0.93 computer sciencebrain-computer interfacerobotroboticscomputer and information sciences
• UAV path planning method for data collection of fixed-point equipment in complex forest environment.
  In a complicated forest environment, it is usual to install many ground-fixed devices, and patrol personnel periodically collects data from the device to detect forest pests and valuable wild animals. Unlike human patrols, UAV (Unmanned Aerial Vehicles) may co…
  pubmed Cui X, Wang Y, Yang S, Liu H 等 2022 置信度 0.83 computer and information scienceseess.sycs.rounderwatermath.oc
• Using enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habits.
  We suggest that the influence of biology in 'biologically inspired robotics' can be embraced at a deeper level than is typical, if we adopt an enactive approach that moves the focus of interest from how problems are solved to how problems emerge in the first p…
  pubmed Egbert MD, Barandiaran XE 2022 置信度 0.93 computer sciencepsychologyrobotphysicsrobotics
• Interaction learning control with movement primitives for lower limb exoskeleton.
  Research on robotic exoskeletons both in the military and medical fields has rapidly expanded over the previous decade. As a human-robot interaction system, it is a challenge to develop an assistive strategy that makes the exoskeleton supply efficient and natu…
  pubmed Wang J, Wu D, Gao Y, Dong W 2022 置信度 0.89 robotcontrol theorycomputer scienceroboticssystems and control
• Measuring embodiment: A review of methods for prosthetic devices.
  The development of neural interfaces to provide improved control and somatosensory feedback from prosthetic limbs has initiated a new ability to probe the various dimensions of embodiment. Scientists in the field of neuroprosthetics require dependable measures…
  pubmed Segil JL, Roldan LM, Graczyk EL 2022 置信度 0.93 computer sciencephysical medicine and rehabilitationbrain-computer interfacepsychologyhuman-computer interaction
• Multi-scale and attention enhanced graph convolution network for skeleton-based violence action recognition.
  Graph convolution networks (GCNs) have been widely used in the field of skeleton-based human action recognition. However, it is still difficult to improve recognition performance and reduce parameter complexity. In this paper, a novel multi-scale attention spa…
  pubmed Yang H, Ren Z, Yuan H, Wei W 等 2022 置信度 0.83 computer sciencecomputer and information sciencescs.lgartificial intelligencebrain-computer interface
• A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope.
  Low-cost inertial measurement units (IMUs) based on microelectromechanical system (MEMS) have been widely used in self-localization for autonomous robots due to their small size and low power consumption. However, the low-cost MEMS IMUs often suffer from compl…
  pubmed Liu Y, Cui J, Liang W 2022 置信度 0.93 convolutional neural networkcomputer sciencecs.lgrobustnesscomputer and information sciences
• Blind detection of circular image rotation angle based on ensemble transfer regression and fused HOG.
  Aiming at the problems of low accuracy in estimating the rotation angle after the rotation of circular image data within a wide range (0°-360°) and difficulty in blind detection without a reference image, a method based on ensemble transfer regressio…
  pubmed Dong W, Zhang J, Zhou Y, Gao L 等 2022 置信度 0.81 astronomycomputer vision and pattern recognitionartificial neural networkconvolutional neural networkinterpretability
• Multibranch convolutional neural network with contrastive representation learning for decoding same limb motor imagery tasks.
  Emerging deep learning approaches to decode motor imagery (MI) tasks have significantly boosted the performance of brain-computer interfaces. Although recent studies have produced satisfactory results in decoding MI tasks of different body parts, the classific…
  pubmed Phunruangsakao C, Achanccaray D, Izumi SI, Hayashibe M 2022 置信度 0.93 brain-computer interfacemotor imageryelectroencephalographycs.lgconvolutional neural network
• An immediate-return reinforcement learning for the atypical Markov decision processes.
  The atypical Markov decision processes (MDPs) are decision-making for maximizing the immediate returns in only one state transition. Many complex dynamic problems can be regarded as the atypical MDPs, e.g., football trajectory control, approximations of the co…
  pubmed Pan Z, Wen G, Tan Z, Yin S 等 2022 置信度 0.83 computer sciencereinforcement learningcs.lgcomputer and information scienceselectrical engineering, electronic engineering, information engineering
• Transformer-based progressive residual network for single image dehazing.
  The seriously degraded fogging image affects the further visual tasks. How to obtain a fog-free image is not only challenging, but also important in computer vision. Recently, the vision transformer (ViT) architecture has achieved very efficient performance in…
  pubmed Yang Z, Li X, Li J 2022 置信度 0.90 computer vision and pattern recognitioncs.cvconvolutional neural networkcomputer visionembodied cognition
• A mutation operator self-adaptive differential evolution particle swarm optimization algorithm for USV navigation.
  To keep the global search capability and robustness for unmanned surface vessel (USV) path planning, an improved differential evolution particle swarm optimization algorithm (DePSO) is proposed in this paper. In the optimization process, approach to optimal va…
  pubmed Gong Y, Zhang S, Luo M, Ma S 2022 置信度 0.89 math.ocalgorithmrobustnesseess.sycontrol theory
• Vagus Nerve Stimulation: A Personalized Therapeutic Approach for Crohn's and Other Inflammatory Bowel Diseases.
  Inflammatory bowel diseases, including Crohn's disease and ulcerative colitis, are incurable autoimmune diseases characterized by chronic inflammation of the gastrointestinal tract. There is increasing evidence that inappropriate interaction between the enteri…
  pubmed Cirillo G, Negrete-Diaz F, Yucuma D, Virtuoso A 等 2022 Dec 17 置信度 0.89 diseasemedicinetraditional medicineneuroscienceintensive care medicine
• Real-time route planning of unmanned aerial vehicles based on improved soft actor-critic algorithm.
  With the application and development of UAV technology and navigation and positioning technology, higher requirements are put forward for UAV maneuvering obstacle avoidance ability and real-time route planning. In this paper, for the problem of real-time UAV r…
  pubmed Zhou Y, Shu J, Zheng X, Hao H 等 2022 置信度 0.93 reinforcement learningcs.rocs.nieess.speess.sy
• Intelligent air defense task assignment based on hierarchical reinforcement learning.
  Modern air defense battlefield situations are complex and varied, requiring high-speed computing capabilities and real-time situational processing for task assignment. Current methods struggle to balance the quality and speed of assignment strategies. This pap…
  pubmed Liu JY, Wang G, Guo XK, Wang SY 等 2022 置信度 0.83 cs.aielectrical engineering, electronic engineering, information engineeringcomputer sciencereinforcement learningdistributed computing
• Coordinating human-robot collaboration by EEG-based human intention prediction and vigilance control.
  In human-robot collaboration scenarios with shared workspaces, a highly desired performance boost is offset by high requirements for human safety, limiting speed and torque of the robot drives to levels which cannot harm the human body. Especially for complex …
  pubmed Lyu J, Maýe A, Görner M, Ruppel P 等 2022 置信度 0.93 robothuman-computer interactionroboticscomputer sciencecs.ai
• A novel gait analysis system for detecting abnormal hemiparetic gait patterns during robot-assisted gait training: A criterion validity study among healthy adults.
  Robot-assisted gait training has been reported to improve gait in individuals with hemiparetic stroke. Ideally, the gait training program should be customized based on individuals' gait characteristics and longitudinal changes. However, a gait robot that uses …
  pubmed Imoto D, Hirano S, Mukaino M, Saitoh E 等 2022 置信度 0.89 physical medicine and rehabilitationrehabilitationrobotsocial and behavioral sciencesrobotics
• Physical-model guided self-distillation network for single image dehazing.
  Image dehazing, as a key prerequisite of high-level computer vision tasks, has gained extensive attention in recent years. Traditional model-based methods acquire dehazed images via the atmospheric scattering model, which dehazed favorably but often causes art…
  pubmed Lan Y, Cui Z, Su Y, Wang N 等 2022 置信度 0.93 cs.cveess.ivstat.mlcomputer vision and pattern recognitioncs.lg
• Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment.
  Wheel-legged robots have fast and stable motion characteristics on flat roads, but there are the problems of poor balance ability and low movement level in special terrains such as rough roads. In this paper, a new type of wheel-legged robot with parallel four…
  pubmed Guo T, Liu J, Liang H, Zhang Y 等 2022 置信度 0.93 robotcontrol theoryroboticsunderwatercs.ro
• Odor source localization of multi-robots with swarm intelligence algorithms: A review.
  The use of robot swarms for odor source localization (OSL) can better adapt to the reality of unstable turbulence and find chemical contamination or hazard sources faster. Inspired by the collective behavior in nature, swarm intelligence (SI) is recognized as …
  pubmed Wang J, Lin Y, Liu R, Fu J 2022 置信度 0.93 computer scienceroboticsfieldphysicsartificial intelligence
• Application of the robot-assisted implantation in deep brain stimulation.
  This work aims to assess the accuracy of robotic assistance guided by a videometric tracker in deep brain stimulation (DBS).
  pubmed Ma FZ, Liu DF, Yang AC, Zhang K 等 2022 置信度 0.84
• Comparison of machine learning and deep learning-based methods for locomotion mode recognition using a single inertial measurement unit.
  Locomotion mode recognition provides the prosthesis control with the information on when to switch between different walking modes, whereas the gait phase detection indicates where we are in the gait cycle. But powered prostheses often implement a different co…
  pubmed Vu HTT, Cao HL, Dong D, Verstraten T 等 2022 置信度 0.93 artificial intelligencecomputer sciencecs.lgconvolutional neural networkartificial neural network
• UVMS task-priority planning framework for underwater task goal classification optimization.
  This paper presents a task prioritization strategy based on a generic underwater task goal classification transformation for multitasking underwater operational tasks: attitude control, floating manipulation, collision-free motion, especially optimizing trajec…
  pubmed Gao YE, Zhang X, Su Y, Wang J 等 2022 置信度 0.93 computer scienceunderwaterrobotcs.romarine engineering
• [New technologies and robotics].
  The development of increasingly more complex computer and electromotor technologies enables the increasing use and expansion of robot-assisted systems in trauma surgery rehabilitation; however, the currently available devices are rarely comprehensively applied…
  pubmed Kruppa C, Benner S, Brinkemper A, Aach M 等 2023 Jan 置信度 0.93 computer sciencerehabilitationphysical medicine and rehabilitationbrain-computer interfacewearable computer
• A triple-step controller with linear active disturbance rejection control for a lower limb rehabilitation robot.
  Lower limb rehabilitation robots (LLRRs) have shown promising potential in assisting hemiplegic patients to recover their motor function. During LLRR-aided rehabilitation, the dynamic uncertainties due to human-robot coupling, model uncertainties, and external…
  pubmed Peng H, Zhou J, Song R 2022 置信度 0.93 control theorybrain-computer interfacerobotcontrolrobustness
• DWFed: A statistical- heterogeneity-based dynamic weighted model aggregation algorithm for federated learning.
  Federated Learning is a distributed machine learning framework that aims to train a global shared model while keeping their data locally, and previous researches have empirically proven the ideal performance of federated learning methods. However, recent resea…
  pubmed Chen A, Fu Y, Wang L, Duan G 2022 置信度 0.83 cs.lgmachine learningcomputer and information sciencescryptography and securitydistributed computing
• Variational deep embedding-based active learning for the diagnosis of pneumonia.
  Machine learning works similar to the way humans train their brains. In general, previous experiences prepared the brain by firing specific nerve cells in the brain and increasing the weight of the links between them. Machine learning also completes the classi…
  pubmed Huang J, Ding W, Zhang J, Li Z 等 2022 置信度 0.93 cs.lgcs.cveess.ascomputer and information sciencescs.cl
• Bearing fault diagnosis based on particle swarm optimization fusion convolutional neural network.
  Bearings are the most basic and important mechanical parts. The stable and safe operation of the equipment requires bearing fault diagnosis in advance. So, bearing fault diagnosis is an important technology. However, the feature extraction quality of the tradi…
  pubmed Liu X, Wu R, Wang R, Zhou F 等 2022 置信度 0.89 convolutional neural networkartificial neural networkcomputer sciencecs.cvcs.lg
• Enhanced You Only Look Once X for surface defect detection of strip steel.
  Using deep learning-based methods to detect surface defects in strip steel can reduce the impact of human factors and lower costs while maintaining accuracy and efficiency. However, the main disadvantages of this method is the inability to tradeoff accuracy an…
  pubmed Wu R, Zhou F, Li N, Liu H 等 2022 置信度 0.83 computer and information sciencescomputer sciencesignal processingelectrical engineering, electronic engineering, information engineeringbrain-computer interface
• A detection method of the rescue targets in the marine casualty based on improved YOLOv5s.
  In recent years, with the deep exploitation of marine resources and the development of maritime transportation, ship collision accidents occur frequently, which leads to the increasingly heavy task of maritime Search and Rescue (SAR). Unmanned Aerial Vehicles …
  pubmed Bai J, Dai J, Wang Z, Yang S 2022 置信度 0.83 computer scienceunderwaterartificial intelligenceconvolutional neural networkcs.cv
• Vital information matching in vision-and-language navigation.
  With the rapid development of artificial intelligence technology, many researchers have begun to focus on visual language navigation, which is one of the most important tasks in multi-modal machine learning. The focus of this multi-modal field is how to fuse m…
  pubmed Jia Z, Yu K, Ru J, Yang S 等 2022 置信度 0.93 computer scienceartificial intelligencecs.lgcs.aiartificial neural network
• Multi-view SoftPool attention convolutional networks for 3D model classification.
  Existing multi-view-based 3D model classification methods have the problems of insufficient view refinement feature extraction and poor generalization ability of the network model, which makes it difficult to further improve the classification accuracy. To thi…
  pubmed Wang W, Wang X, Chen G, Zhou H 2022 置信度 0.86 convolutional neural networkcs.lgcs.cveess.asmotor imagery
• Design and torque control base on neural network PID of a variable stiffness joint for rehabilitation robot.
  Variable stiffness joints have been gradually applied in rehabilitation robots because of their intrinsic compliance and greater ability to adjust mechanical stiffness. This paper designs a variable stiffness joint for upper limb rehabilitation training. The j…
  pubmed Hu B, Mao B, Lu S, Yu H 2022 置信度 0.93 control theoryphysical medicine and rehabilitationrobotrehabilitationrobustness
• A bioinspired flexible neuromuscular system based thermal-annealing-free perovskite with passivation.
  Brain-inspired electronics require artificial synapses that have ultra-low energy consumption, high operating speed, and stable flexibility. Here, we demonstrate a flexible artificial synapse that uses a rapidly crystallized perovskite layer at room temperatur…
  pubmed Liu J, Gong J, Wei H, Li Y 等 2022 Dec 2 置信度 0.93 neuromorphic engineeringmaterials scienceoptoelectronicscomputer scienceperovskite
• Frictional Anisotropic Locomotion and Adaptive Neural Control for a Soft Crawling Robot.
  Crawling animals with bendable soft bodies use the friction anisotropy of their asymmetric body structures to traverse various substrates efficiently. Although the effect of friction anisotropy has been investigated and applied to robot locomotion, the dynamic…
  pubmed Asawalertsak N, Heims F, Kovalev A, Gorb SN 等 2023 Jun 置信度 0.93 robotroboticssoft roboticsunderwaterhuman-computer interaction
• A robust zeroing neural network and its applications to dynamic complex matrix equation solving and robotic manipulator trajectory tracking.
  Dynamic complex matrix equation (DCME) is frequently encountered in the fields of mathematics and industry, and numerous recurrent neural network (RNN) models have been reported to effectively find the solution of DCME in no noise environment. However, noises …
  pubmed Jin J, Zhao L, Chen L, Chen W 2022 置信度 0.93 artificial neural networkcomputer sciencecs.lgcomputer and information sciencesrobustness
• Compound motion decoding based on sEMG consisting of gestures, wrist angles, and strength.
  This study aimed to highlight the demand for upper limb compound motion decoding to provide a more diversified and flexible operation for the electromyographic hand. In total, 60 compound motions were selected, which were combined with four gestures, five wris…
  pubmed Zhang X, Lu Z, Fan C, Wang Y 等 2022 置信度 0.93 computer scienceartificial intelligencebrain-computer interfacemachine learningmotor imagery
• Dance emotion recognition based on linear predictive Meir frequency cepstrum coefficient and bidirectional long short-term memory from robot environment.
  Dance emotion recognition is an important research direction of automatic speech recognition, especially in the robot environment. It is an important research content of dance emotion recognition to extract the features that best represent speech emotion and t…
  pubmed Shen D, Qiu X, Jiang X, Wang D 2022 置信度 0.93 computer scienceartificial intelligencecs.lgconvolutional neural networkbrain-computer interface
• G-Exos: A wearable gait exoskeleton for walk assistance.
  Stroke is the second leading cause of death and one of the leading causes of disability in the world. According to the World Health Organization, 11 million people suffer a stroke yearly. The cost of the disease is exorbitant, and the most widely used treatmen…
  pubmed Zorkot M, Dac LH, Morya E, Brasil FL 2022 置信度 0.93 physical medicine and rehabilitationrehabilitationbrain-computer interfacemedicineneuroscience
• ClueDepth Grasp: Leveraging positional clues of depth for completing depth of transparent objects.
  Obtaining accurate depth information is key to robot grasping tasks. However, for transparent objects, RGB-D cameras have difficulty perceiving them owing to the objects' refraction and reflection properties. This property makes it difficult for humanoid robot…
  pubmed Hong Y, Chen J, Cheng Y, Han Y 等 2022 置信度 0.89 computer and information sciencescomputer scienceroboticsartificial intelligencecs.cv
• A novel single robot image shadow detection method based on convolutional block attention module and unsupervised learning network.
  Shadow detection plays a very important role in image processing. Although many algorithms have been proposed in different environments, it is still a challenging task to detect shadows in natural scenes. In this paper, we propose a convolutional block attenti…
  pubmed Zhang J, Liu J 2022 置信度 0.89 convolutional neural networkartificial intelligencecs.lgsignal processingcs.cv
• The 'hand paradox': distorted representations guide optimal actions.
  pubmed Bassolino M, Becchio C 2023 Jan 置信度 0.67
• A noise-suppressing neural network approach for upper limb human-machine interactive control based on sEMG signals.
  The use of upper limb rehabilitation robots to assist the affected limbs for active rehabilitation training is an inevitable trend in the field of rehabilitation medicine. In particular, the active motion intention-based control of the upper limb rehabilitatio…
  pubmed Zhang B, Lan X, Wang G, Pang Z 等 2022 置信度 0.93 brain-computer interfacerehabilitationphysical medicine and rehabilitationmotor imageryrobot
• Estimation of knee joint movement using single-channel sEMG signals with a feature-guided convolutional neural network.
  Estimating human motion intention, such as intent joint torque and movement, plays a crucial role in assistive robotics for ensuring efficient and safe human-robot interaction. For coupled human-robot systems, surface electromyography (sEMG) signal has been pr…
  pubmed Zhang S, Lu J, Huo W, Yu N 等 2022 置信度 0.93 artificial intelligencebrain-computer interfacecomputer scienceelectrical engineering, electronic engineering, information engineeringconvolutional neural network
• Autonomous maneuver decision-making method based on reinforcement learning and Monte Carlo tree search.
  Autonomous maneuver decision-making methods for air combat often rely on human knowledge, such as advantage functions, objective functions, or dense rewards in reinforcement learning, which limits the decision-making ability of unmanned combat aerial vehicle t…
  pubmed Zhang H, Zhou H, Wei Y, Huang C 2022 置信度 0.89 cs.lgcomputer and information sciencesreinforcement learningeess.syrobotics
• Multi-user motion recognition using sEMG via discriminative canonical correlation analysis and adaptive dimensionality reduction.
  The inability of new users to adapt quickly to the surface electromyography (sEMG) interface has greatly hindered the development of sEMG in the field of rehabilitation. This is due mainly to the large differences in sEMG signals produced by muscles when diffe…
  pubmed Wang J, Cao D, Li Y, Wang J 等 2022 置信度 0.93 brain-computer interfaceinterfaceelectroencephalographymotor imageryconvolutional neural network
• Assessment methodology for human-exoskeleton interactions: Kinetic analysis based on muscle activation.
  During the development and assessment of an exoskeleton, many different analyzes need to be performed. The most frequently used evaluate the changes in muscle activations, metabolic consumption, kinematics, and kinetics. Since human-exoskeleton interactions ar…
  pubmed Fanti V, Sanguineti V, Caldwell DG, Ortiz J 等 2022 置信度 0.89 computer scienceprocessq-bio.qmphysical medicine and rehabilitationsystems and control
• Influence of proprioceptive training based on ankle-foot robot on improving lower limbs function in patients after a stroke.
  Proprioception is important for our everyday activity, as it indicates the position, movement, and force on the body. This is important not only for ambulation but also for patients who are diagnosed with stroke.
  pubmed Mao Y, Gao Z, Yang H, Song C 2022 置信度 0.86 physical medicine and rehabilitationpharmacologybiochemistryastrobiologyhabitability
• Multi-focus image fusion dataset and algorithm test in real environment.
  pubmed Liu S, Peng W, Jiang W, Yang Y 等 2022 置信度 0.67
• Fixed/Predefined-time synchronization of memristor-based complex-valued BAM neural networks for image protection.
  This paper investigates the fixed-time synchronization and the predefined-time synchronization of memristive complex-valued bidirectional associative memory neural networks (MCVBAMNNs) with leakage time-varying delay. First, the proposed neural networks are re…
  pubmed Liu A, Zhao H, Wang Q, Niu S 等 2022 置信度 0.89 control theoryelectrical engineering, electronic engineering, information engineeringrobustnessartificial neural networksystems and control
• QPSO-MPC based tracking algorithm for cable-driven continuum robots.
  Cable-driven continuum robots (CDCRs) can flexibly travel through narrow space for complex workspace tasks. However, it is challenging to design the trajectory tracking algorithm for CDCRs due to their nonlinear dynamic behaviors and cable hysteresis character…
  pubmed Chen Q, Qin Y, Li G 2022 置信度 0.89 computer sciencecontrol theorycomputer and information scienceseess.syrobotics
• A Natural Human-Drone Embodied Interface: Empirical Comparison With a Traditional Interface.
  Despite the importance of usability in human-machine interaction (HMI), most commonly used devices are not usable by all potential users. In particular, users with low or null technological experience, or with special needs, require carefully designed systems …
  pubmed Di Vincenzo M, Palini F, De Marsico M, Borghi AM 等 2022 置信度 0.93 brain-computer interfacecomputer sciencehuman-computer interactioninterfacemotor imagery