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• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• [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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• The 'hand paradox': distorted representations guide optimal actions.
  pubmed Bassolino M, Becchio C 2023 Jan 置信度 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.82
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.82
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70
• 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 0.70