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• Favoring the cognitive-motor process in the closed-loop of BCI mediated post stroke motor function recovery: challenges and approaches.
  The brain-computer interface (BCI)-mediated rehabilitation is emerging as a solution to restore motor skills in paretic patients after stroke. In the human brain, cortical motor neurons not only fire when actions are carried out but are also activated in a wir…
  pubmed Mang J, Xu Z, Qi Y, Zhang T 2023 置信度 0.82
• Development and evaluation of a robotic system for lumbar puncture and epidural steroid injection.
  Lumbar puncture is an important medical procedure for various diagnostics and therapies, but it can be hazardous due to individual variances in subcutaneous soft tissue, especially in the elderly and obese. Our research describes a novel robot-assisted punctur…
  pubmed Lu J, Huang Z, Zhuang B, Cheng Z 等 2023 置信度 0.82
• An adaptive control framework based multi-modal information-driven dance composition model for musical robots.
  Currently, most robot dances are pre-compiled, the requirement of manual adjustment of relevant parameters and meta-action to change the dancing to another type of music would greatly reduce its function. To overcome the gap, this study proposed a dance compos…
  pubmed Xu F, Xia Y, Wu X, Fumei Xu 等 2023 置信度 0.82
• Vision-force-fused curriculum learning for robotic contact-rich assembly tasks.
  Contact-rich robotic manipulation tasks such as assembly are widely studied due to their close relevance with social and manufacturing industries. Although the task is highly related to vision and force, current methods lack a unified mechanism to effectively …
  pubmed Jin P, Lin Y, Song Y, Li T 等 2023 置信度 0.82
• Effects of visual-electrotactile stimulation feedback on brain functional connectivity during motor imagery practice.
  The use of neurofeedback is an important aspect of effective motor rehabilitation as it offers real-time sensory information to promote neuroplasticity. However, there is still limited knowledge about how the brain's functional networks reorganize in response …
  pubmed Phunruangsakao C, Achanccaray D, Bhattacharyya S, Izumi SI 等 2023 Oct 18 置信度 0.82
• Res-FLNet: human-robot interaction and collaboration for multi-modal sensing robot autonomous driving tasks based on learning control algorithm.
  Introduction Res-FLNet presents a cutting-edge solution for addressing autonomous driving tasks in the context of multimodal sensing robots while ensuring privacy protection through Federated Learning (FL). The rapid advancement of autonomous vehicles and robo…
  pubmed Wang S, Shulei Wang 2023 置信度 0.82
• Multi-view and multi-scale behavior recognition algorithm based on attention mechanism.
  Human behavior recognition plays a crucial role in the field of smart education. It offers a nuanced understanding of teaching and learning dynamics by revealing the behaviors of both teachers and students. In this study, to address the exigencies of teaching …
  pubmed Zhang D, Chen C, Tan F, Qian B 等 2023 置信度 0.82
• Study on human-SRL synchronized walking based on coupled impedance.
  Introduction Supernumerary robotic limbs (SRL) is a novel category of wearable robotics. Unlike prostheses (compensation for human limbs) and exoskeletons (augmentation of human limbs), SRL focuses on expanding human limbs and enhancing human activities, perce…
  pubmed Liu Z, Xiang K, He W, Gao X 等 2023 置信度 0.82
• Monocular catadioptric panoramic depth estimation via improved end-to-end neural network model.
  In this paper, we propose a monocular catadioptric panoramic depth estimation algorithm based on an improved end-to-end neural network model. First, we use an enhanced concentric circle approximation unfolding algorithm to unfold the panoramic images captured …
  pubmed Yan F, Liu L, Ding X, Zhang Q 等 2023 置信度 0.82
• Research on obstacle avoidance optimization and path planning of autonomous vehicles based on attention mechanism combined with multimodal information decision-making thoughts of robots.
  With the development of machine perception and multimodal information decision-making techniques, autonomous driving technology has become a crucial area of advancement in the transportation industry. The optimization of vehicle navigation, path planning, and …
  pubmed Wu X, Wang G, Shen N 2023 置信度 0.82
• MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm.
  Unmanned Aerial Vehicles (UAVs) have gained popularity due to their low lifecycle cost and minimal human risk, resulting in their widespread use in recent years. In the UAV swarm cooperative decision domain, multi-agent deep reinforcement learning has signific…
  pubmed Zhao M, Wang G, Fu Q, Guo X 等 2023 置信度 0.82
• Robust control for a tracked mobile robot based on a finite-time convergence zeroing neural network.
  Introduction Since tracked mobile robot is a typical non-linear system, it has been a challenge to achieve the trajectory tracking of tracked mobile robots. A zeroing neural network is employed to control a tracked mobile robot to track the desired trajectory.…
  pubmed Cao Y, Liu B, Pu J, Yuxuan Cao 等 2023 置信度 0.82
• Velocity range-based reward shaping technique for effective map-less navigation with LiDAR sensor and deep reinforcement learning.
  In recent years, sensor components similar to human sensory functions have been rapidly developed in the hardware field, enabling the acquisition of information at a level beyond that of humans, and in the software field, artificial intelligence technology has…
  pubmed Lee H, Jeong J 2023 置信度 0.82
• Continuous joint velocity estimation using CNN-based deep learning for multi-DoF prosthetic wrist for activities of daily living.
  Myoelectric control of prostheses is a long-established technique, using surface electromyography (sEMG) to detect user intention and perform subsequent mechanical actions. Most machine learning models utilized in control systems are trained using isolated mov…
  pubmed Meng Z, Kang J 2023 置信度 0.82
• Editorial: EMG/EEG signals-based control of assistive and rehabilitation robots, volume II.
  pubmed Gopura RARC, Lalitharatne TD, Zhang D, R. A. R. C. Gopura 等 2023 置信度 0.82
• Ring attractor bio-inspired neural network for social robot navigation.
  We introduce a bio-inspired navigation system for a robot to guide a social agent to a target location while avoiding static and dynamic obstacles. Robot navigation can be accomplished through a model of ring attractor neural networks. This connectivity patter…
  pubmed Rivero-Ortega JD, Mosquera-Maturana JS, Pardo-Cabrera J, Hurtado-López J 等 2023 置信度 0.82
• Based on cross-scale fusion attention mechanism network for semantic segmentation for street scenes.
  Semantic segmentation, which is a fundamental task in computer vision. Every pixel will have a specific semantic class assigned to it through semantic segmentation methods. Embedded systems and mobile devices are difficult to deploy high-accuracy segmentation …
  pubmed Ye X, Gao L, Chen J, Lei M 等 2023 置信度 0.82
• Elongating, entwining, and dragging: mechanism for adaptive locomotion of tubificine worm blobs in a confined environment.
  Worms often aggregate through physical connections and exhibit remarkable functions such as efficient migration, survival under environmental changes, and defense against predators. In particular, entangled blobs demonstrate versatile behaviors for their survi…
  pubmed Mikami T, Wakita D, Kobayashi R, Ishiguro A 等 2023 置信度 0.82
• Tracking by segmentation with future motion estimation applied to person-following robots.
  Person-following is a crucial capability for service robots, and the employment of vision technology is a leading trend in building environmental understanding. While most existing methodologies rely on a tracking-by-detection strategy, which necessitates exte…
  pubmed Jiang S, Cui R, Wei R, Fu Z 等 2023 置信度 0.82
• Uncertainty-aware automated assessment of the arm impedance with upper-limb exoskeletons.
  Providing high degree of personalization to a specific need of each patient is invaluable to improve the utility of robot-driven neurorehabilitation. For the desired customization of treatment strategies, precise and reliable estimation of the patient's state …
  pubmed Tesfazgi S, Sangouard R, Endo S, Hirche S 2023 置信度 0.82
• Bioelectrical State of Bacteria Is Linked to Growth Dynamics and Response to Neurotransmitters: Perspectives for the Investigation of the Microbiota-Brain Axis.
  Inter-cellular communication is mediated by a sum of biochemical, biophysical, and bioelectrical signals. This might occur not only between cells belonging to the same tissue and/or animal species but also between cells that are, from an evolutionary point of …
  pubmed Muñoz-Rodríguez D, Bourqqia-Ramzi M, García-Esteban MT, Murciano-Cespedosa A 等 2023 Aug 29 置信度 0.82
• Elicitation of trustworthiness requirements for highly dexterous teleoperation systems with signal latency.
  Introduction Teleoperated robotic manipulators allow us to bring human dexterity and cognition to hard-to-reach places on Earth and in space. In long-distance teleoperation, however, the limits of the speed of light results in an unavoidable and perceivable si…
  pubmed Louca J, Vrublevskis J, Eder K, Tzemanaki A 等 2023 置信度 0.82
• Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction.
  Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language processing (NLP) that aims to extract triplets from comments. Each triplet comprises an aspect term, an opinion term, and the sentiment polarity of the aspect term. The neural…
  pubmed Li Y, He Q, Zhang D 2023 置信度 0.82
• A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control.
  A normalization method of road adhesion coefficient and tire cornering stiffness is proposed to provide the significant information for vehicle direct yaw-moment control (DYC) system design. This method is carried out based on a fractional-order multi-variable…
  pubmed Lian Y, Feng W, Liu S, Nie Z 2023 置信度 0.82
• Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model.
  Deep neural networks (DNNs) have been shown to be susceptible to critical vulnerabilities when attacked by adversarial samples. This has prompted the development of attack and defense strategies similar to those used in cyberspace security. The dependence of s…
  pubmed Qin R, Wang L, Du X, Xie P 等 2023 置信度 0.82
• Wearable teleoperation controller with 2-DoF robotic arm and haptic feedback for enhanced interaction in virtual reality.
  Introduction Teleoperation is an essential component in fields such as medicine and manufacturing, enabling human operators to interact with remote robotic systems. A wearable device has been designed and manufactured to enhance sensitivity, wearability, and s…
  pubmed Zhang Z, Qian C, Zheyuan Zhang, Chen Qian 2023 置信度 0.82
• An improved model for target detection and pose estimation of a teleoperation power manipulator.
  A hot cell is generally deployed with a teleoperation power manipulator to complete tests, operations, and maintenance. The position and pose of the manipulator are mostly acquired through radiation-resistant video cameras arranged in the hot cell. In this pap…
  pubmed Xie L, Huang J, Li Y, Guo J 2023 置信度 0.82
• Re-learning mental representation of walking after a brain lesion. Effects of a cognitive-motor training with a robotic orthosis.
  Stroke-related deficits often include motor impairments and gait dysfunction, leading to a limitation of social activities and consequently affecting the quality of life of stroke survivors. Neurorehabilitation takes advantage of the contribution of different …
  pubmed Villa MC, Geminiani GC, Zettin M, Cicerale A 等 2023 置信度 0.82
• Deep learning-based framework for real-time upper limb motion intention classification using combined bio-signals.
  This research study proposes a unique framework that takes input from a surface electromyogram (sEMG) and functional near-infrared spectroscopy (fNIRS) bio-signals. These signals are trained using convolutional neural networks (CNN). The framework entails a re…
  pubmed Syed AU, Sattar NY, Ganiyu I, Sanjay C 等 2023 置信度 0.82
• An extended clinical EEG dataset with 15,300 automatically labelled recordings for pathology decoding.
  Automated clinical EEG analysis using machine learning (ML) methods is a growing EEG research area. Previous studies on binary EEG pathology decoding have mainly used the Temple University Hospital (TUH) Abnormal EEG Corpus (TUAB) which contains approximately …
  pubmed Kiessner AK, Schirrmeister RT, Gemein LAW, Boedecker J 等 2023 置信度 0.82
• E-YOLOv4-tiny: a traffic sign detection algorithm for urban road scenarios.
  In urban road scenes, due to the small size of traffic signs and the large amount of surrounding interference information, current methods are difficult to achieve good detection results in the field of unmanned driving.
  pubmed Xiao Y, Yin S, Cui G, Zhang W 等 2023 置信度 0.82
• Online detection of compensatory strategies in human movement with supervised classification: a pilot study.
  Introduction Stroke survivors often compensate for the loss of motor function in their distal joints by altered use of more proximal joints and body segments. Since this can be detrimental to the rehabilitation process in the long-term, it is imperative that s…
  pubmed Das N, Endo S, Patel S, Krewer C 等 2023 置信度 0.82
• Active fault-tolerant anti-input saturation control of a cross-domain robot based on a human decision search algorithm and RBFNN.
  This article presents a cross-domain robot (CDR) that experiences drive efficiency degradation when operating on water surfaces, similar to drive faults. Moreover, the CDR mathematical model has uncertain parameters and non-negligible water resistance. To solv…
  pubmed Wang K, Liu Y, Huang C 2023 置信度 0.82
• Elbow-sideWINDER (Elbow-side Wearable INDustrial Ergonomic Robot): design, control, and validation of a novel elbow exoskeleton.
  Musculoskeletal Disorders associated with the elbow are one of the most common forms of work-related injuries. Exoskeletons have been proposed as an approach to reduce and ideally eliminate these injuries; however, exoskeletons introduce their own problems, es…
  pubmed Park D, Di Natali C, Sposito M, Caldwell DG 等 2023 置信度 0.82
• A self-learning Monte Carlo tree search algorithm for robot path planning.
  This paper proposes a self-learning Monte Carlo tree search algorithm (SL-MCTS), which has the ability to continuously improve its problem-solving ability in single-player scenarios. SL-MCTS combines the MCTS algorithm with a two-branch neural network (PV-Netw…
  pubmed Li W, Liu Y, Ma Y, Xu K 等 2023 置信度 0.82
• A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model.
  Motion predictions for limbs can be performed using commonly called Hill-based muscle models. For this type of models, a surface electromyogram (sEMG) of the muscle serves as an input signal for the activation of the muscle model. However, the Hill model needs…
  pubmed Mechtenberg M, Schneider A 2023 置信度 0.82
• Spasticity evaluation with the Amadeo Tyromotion device in patients with hemispheric stroke.
  The objective of this study is to verify the reliability and the concurrent and discriminant validity of the measurements of spasticity offered by the robotic device, quantifying the (1) test-retest reliability, (2) correlation with the clinical evaluation usi…
  pubmed Urrutia R, Miren Gutiérrez-Muto A, Sanz-Morère CB, Gómez A 等 2023 置信度 0.82
• YOLOv7-CSAW for maritime target detection.
  The issue of low detection rates and high false negative rates in maritime search and rescue operations has been a critical problem in current target detection algorithms. This is mainly due to the complex maritime environment and the small size of most target…
  pubmed Zhu Q, Ma K, Wang Z, Shi P 2023 置信度 0.82
• Review of adaptive control for stroke lower limb exoskeleton rehabilitation robot based on motion intention recognition.
  Stroke is a significant cause of disability worldwide, and stroke survivors often experience severe motor impairments. Lower limb rehabilitation exoskeleton robots provide support and balance for stroke survivors and assist them in performing rehabilitation tr…
  pubmed Su D, Hu Z, Wu J, Shang P 等 2023 置信度 0.82
• Graph MADDPG with RNN for multiagent cooperative environment.
  Multiagent systems face numerous challenges due to environmental uncertainty, with scalability being a critical issue. To address this, we propose a novel multi-agent cooperative model based on a graph attention network. Our approach considers the relationship…
  pubmed Wei X, Cui W, Huang X, Yang L 等 2023 置信度 0.82
• Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning.
  Deep reinforcement learning (RL) agents often suffer from catastrophic forgetting, forgetting previously found solutions in parts of the input space when training new data. Replay memories are a common solution to the problem by decorrelating and shuffling old…
  pubmed Hafez MB, Immisch T, Weber T, Wermter S 2023 置信度 0.82
• Modalities of sequential human robot collaboration trigger different modifications of trunk oscillations.
  Introduction Human robot collaboration is quickly gaining importance in the robotics and ergonomics fields due to its ability to reduce biomechanical risk on the human operator while increasing task efficiency. The performance of the collaboration is typically…
  pubmed Ranaldi S, Bibbo D, Corvini G, Schmid M 等 2023 置信度 0.82
• Adaptive visual-tactile fusion recognition for robotic operation of multi-material system.
  The use of robots in various industries is evolving from mechanization to intelligence and precision. These systems often comprise parts made of different materials and thus require accurate and comprehensive target identification. While humans perceive the wo…
  pubmed Ding Z, Chen G, Wang Z, Sun L 2023 置信度 0.82
• MLNet: a multi-level multimodal named entity recognition architecture.
  In the field of human-computer interaction, accurate identification of talking objects can help robots to accomplish subsequent tasks such as decision-making or recommendation; therefore, object determination is of great interest as a pre-requisite task. Wheth…
  pubmed Zhai H, Lv X, Hou Z, Tong X 等 2023 置信度 0.82
• Editorial: The role of the cerebellum in dementia and neurodegenerative diseases.
  pubmed Toniolo S, Pisotta I, Manto M 2023 置信度 0.82
• A fabric-based soft hand exoskeleton for assistance: the ExHand Exoskeleton.
  The rise of soft robotics has driven the development of devices for assistance in activities of daily living (ADL). Likewise, different types of actuation have been developed for safer human interaction. Recently, textile-based pneumatic actuation has been int…
  pubmed Maldonado-Mejía JC, Múnera M, Diaz CAR, Wurdemann H 等 2023 置信度 0.82
• Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation.
  Collaborative robots, or cobots, are designed to work alongside humans and to alleviate their physical burdens, such as lifting heavy objects or performing tedious tasks. Ensuring the safety of human-robot interaction (HRI) is paramount for effective collabora…
  pubmed Valencia-Vidal B, Ros E, Abadía I, Luque NR 2023 置信度 0.82
• Location estimation based on feature mode matching with deep network models.
  Global navigation satellite system (GNSS) signals can be lost in viaducts, urban canyons, and tunnel environments. It has been a significant challenge to achieve the accurate location of pedestrians during Global Positioning System (GPS) signal outages. This p…
  pubmed Bai YT, Jia W, Jin XB, Su TL 等 2023 置信度 0.82
• A semantic segmentation scheme for night driving improved by irregular convolution.
  In order to solve the poor performance of real-time semantic segmentation of night road conditions in video images due to insufficient light and motion blur, this study proposes a scheme: a fuzzy information complementation strategy based on generative models …
  pubmed Xuantao Y, Junying H, Chenzhong L, Yang Xuantao 等 2023 置信度 0.82
• SNS-Toolbox: An Open Source Tool for Designing Synthetic Nervous Systems and Interfacing Them with Cyber-Physical Systems.
  One developing approach for robotic control is the use of networks of dynamic neurons connected with conductance-based synapses, also known as Synthetic Nervous Systems (SNS). These networks are often developed using cyclic topologies and heterogeneous mixture…
  pubmed Nourse WRP, Jackson C, Szczecinski NS, Quinn RD 2023 Jun 10 置信度 0.82
• A robotic treadmill system to mimic overground walking training with body weight support.
  Body weight support overground walking training (BWSOWT) is widely used in gait rehabilitation. However, existing systems require large workspace, complex structure, and substantial installation cost for the actuator, which make those systems inappropriate for…
  pubmed Kim J, Oh S, Jo Y, Moon JH 等 2023 置信度 0.82
• Enactive artificial intelligence: subverting gender norms in human-robot interaction.
  Introduction This paper presents Enactive Artificial Intelligence (eAI) as a gender-inclusive approach to AI, emphasizing the need to address social marginalization resulting from unrepresentative AI design. Methods The study employs a multidisciplinary framew…
  pubmed Hipólito I, Winkle K, Lie M, Inês Hipólito 等 2023 置信度 0.82
• Multi-robot cooperative autonomous exploration via task allocation in terrestrial environments.
  Cooperative autonomous exploration is a challenging task for multi-robot systems, which can cover larger areas in a shorter time or path length. Using multiple mobile robots for cooperative exploration of unknown environments can be more efficient than a singl…
  pubmed Yan X, Zeng Z, He K, Hong H 2023 置信度 0.82
• Face morphing attack detection based on high-frequency features and progressive enhancement learning.
  Face morphing attacks have become increasingly complex, and existing methods exhibit certain limitations in capturing fine-grained texture and detail changes. To overcome these limitation, in this study, a detection method based on high-frequency features and …
  pubmed Jia CK, Liu YC, Chen YL, Cheng-kun Jia 等 2023 置信度 0.82
• Human-machine interface for two-dimensional steering control with the auricular muscles.
  Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be fou…
  pubmed Pinheiro DJLL, Faber J, Micera S, Shokur S 2023 置信度 0.82
• MCR-ALS-based muscle synergy extraction method combined with LSTM neural network for motion intention detection.
  The time-varying and individual variability of surface electromyographic signals (sEMG) can lead to poorer motor intention detection results from different subjects and longer temporal intervals between training and testing datasets. The consistency of using m…
  pubmed Zhao D, Ma Y, Meng J, Hu Y 等 2023 置信度 0.82
• ST-YOLOA: a Swin-transformer-based YOLO model with an attention mechanism for SAR ship detection under complex background.
  A synthetic aperture radar (SAR) image is crucial for ship detection in computer vision. Due to the background clutter, pose variations, and scale changes, it is a challenge to construct a SAR ship detection model with low false-alarm rates and high accuracy. …
  pubmed Zhao K, Lu R, Wang S, Yang X 等 2023 置信度 0.82
• Improved multi-objective artificial bee colony algorithm-based path planning for mobile robots.
  Mobile robots are widely used in various fields, including cosmic exploration, logistics delivery, and emergency rescue and so on. Path planning of mobile robots is essential for completing their tasks. Therefore, Path planning algorithms capable of finding th…
  pubmed Cui Q, Liu P, Du H, Wang H 等 2023 置信度 0.82
• The clinical application of neuro-robot in the resection of epileptic foci: a novel method assisting epilepsy surgery.
  During surgery for foci-related epilepsy, neurosurgeons face significant difficulties in identifying and resecting MRI-negative or deep-seated epileptic foci. Here, we present a neuro-robotic navigation system that is specifically designed for resection of MRI…
  pubmed Xu Y, Chen Y, Liu H, Zhang H 等 2023 Oct 置信度 0.82
• Lower extremity robotic exoskeleton devices for overground ambulation recovery in acquired brain injury-A review.
  Acquired brain injury (ABI) is a leading cause of ambulation deficits in the United States every year. ABI (stroke, traumatic brain injury and cerebral palsy) results in ambulation deficits with residual gait and balance deviations persisting even after 1 year…
  pubmed Karunakaran KK, Pamula SD, Bach CP, Legelen E 等 2023 置信度 0.82
• Contralaterally EMG-triggered functional electrical stimulation during serious gaming for upper limb stroke rehabilitation: a feasibility study.
  Virtual Reality/serious games (SG) and functional electrical stimulation (FES) therapies are used in upper limb stroke rehabilitation. A combination of both approaches seems to be beneficial for therapy success. The feasibility of a combination of SG and contr…
  pubmed Höhler C, Wild L, de Crignis A, Jahn K 等 2023 置信度 0.82
• Collision-Free Compliance Control for Redundant Manipulators: An Optimization Case
  Force control of manipulators could enhance compliance and execution capabilities, and has become a key issue in the field of robotic control. However, it is challenging for redundant manipulators, especially when there exist risks of collisions. In this paper…
  crossref Xuefeng Zhou, Zhihao Xu, Shuai Li 2019-07-11T13:21:08Z 置信度 0.70
• Cross-modality fusion with EEG and text for enhanced emotion detection in English writing
  Introduction Emotion detection in written text is critical for applications in human-computer interaction, affective computing, and personalized content recommendation. Traditional approaches to emotion detection primarily leverage textual features, using natu…
  crossref Jing Wang, Ci Zhang 2025-01-17T06:53:43Z 置信度 0.70
• Multimodal fusion image enhancement technique and CFEC-YOLOv7 for underwater target detection algorithm research
  The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition accuracy of underwater targets and failing to meet the needs of underwater environment detection. First…
  crossref Xiaorong Qiu, Yingzhong Shi 2025-06-19T05:31:46Z 置信度 0.70
• NeuroVI-based wave compensation system control for offshore wind turbines
  In deep-sea areas, the hoisting operation of offshore wind turbines is seriously affected by waves, and the secondary impact is prone to occur between the turbine and the pile foundation. To address this issue, this study proposes an integrated wave compensati…
  crossref Fengshuang Ma, Xiangyong Liu, Zhiqiang Xu, Tianhong Ding 2025-07-30T05:31:01Z 置信度 0.70
• Single-Camera Multi-View 6DoF pose estimation for robotic grasping
  Accurately estimating the 6DoF pose of objects during robot grasping is a common problem in robotics. However, the accuracy of the estimated pose can be compromised during or after grasping the object when the gripper collides with other parts or occludes the …
  pubmed Shuangjie Yuan, Zhenpeng Ge, Lu Yang, Yuan S 等 2023 置信度 0.82
• Hierarchical Spatial Concept Formation Based on Multimodal Information for Human Support Robots
  In this paper, we propose a hierarchical spatial concept formation method based on the Bayesian generative model with multimodal information e.g., vision, position and word information. Since humans have the ability to select an appropriate level of abstractio…
  crossref Yoshinobu Hagiwara, Masakazu Inoue, Hiroyoshi Kobayashi, Tadahiro Taniguchi 2018-03-13T04:44:30Z 置信度 0.70
• Testing technology for tensile properties of metal materials based on deep learning model
  The properties of metallic materials have been extensively studied, and nowadays the tensile properties testing techniques of metallic materials still have not found a suitable research method. In this paper, the neural Turing machine model is first applied to…
  crossref Xuewen Chen, Weizhong Fan 2022-09-15T07:59:44Z 置信度 0.70
• Mutual Skill Learning and Adaptability to Others via Haptic Interaction
  When learning a new skill through an unknown environment, should we practice alone, or together with another beginner, or learn from the expert? It is normally helpful to have an expert guiding through unknown environmental dynamics. The guidance from the expe…
  crossref Ozge Ozlem Saracbasi, William Harwin, Toshiyuki Kondo, Yoshikatsu Hayashi 2021-12-02T07:08:45Z 置信度 0.70
• Recalibration of myoelectric control with active learning
  Introduction Improving the robustness of myoelectric control to work over many months without the need for recalibration could reduce prosthesis abandonment. Current approaches rely on post-hoc error detection to verify the certainty of a decoder's prediction …
  pubmed Katarzyna Szymaniak, Agamemnon Krasoulis, Kianoush Nazarpour, Szymaniak K 等 2022 置信度 0.82
• Deep Recurrent Neural Networks Based Obstacle Avoidance Control for Redundant Manipulators
  Obstacle avoidance is an important subject in the control of robot manipulators, but is remains challenging for robots with redundant degrees of freedom, especially when there exist complex physical constraints. In this paper, we propose a novel controller bas…
  crossref Zhihao Xu, Xuefeng Zhou, Shuai Li 2019-07-04T15:47:13Z 置信度 0.70
• Learning Inverse Statics Models Efficiently With Symmetry-Based Exploration
  Learning (inverse) kinematics and dynamics models of dexterous robots for the entire action or observation space is challenging and costly. Sampling the entire space is usually intractable in terms of time, tear, and wear. We propose an efficient approach to l…
  crossref Rania Rayyes, Daniel Kubus, Jochen Steil 2018-10-24T09:08:14Z 置信度 0.70
• Neuromorphic NEF-Based Inverse Kinematics and PID Control
  Neuromorphic implementation of robotic control has been shown to outperform conventional control paradigms in terms of robustness to perturbations and adaptation to varying conditions. Two main ingredients of robotics are inverse kinematic and Proportional–Int…
  crossref Yuval Zaidel, Albert Shalumov, Alex Volinski, Lazar Supic 等 2021-02-03T12:07:45Z 置信度 0.70
• Re-framing bio-plausible collision detection: identifying shared meta-properties through strategic prototyping
  Insects exhibit remarkable abilities in navigating complex natural environments, whether it be evading predators, capturing prey, or seeking out con-specifics, all of which rely on their compact yet reliable neural systems. We explore the field of bio-inspired…
  pubmed Haotian Wu, Shigang Yue, Cheng Hu, Wu H 等 2024 置信度 0.82
• Deep learning-based control framework for dynamic contact processes in humanoid grasping
  Humanoid grasping is a critical ability for anthropomorphic hand, and plays a significant role in the development of humanoid robots. In this article, we present a deep learning-based control framework for humanoid grasping, incorporating the dynamic contact p…
  pubmed Shaowen Cheng, Yongbin Jin, Hongtao Wang, Cheng S 等 2024 置信度 0.82
• Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar
  Embodied artificial cognitive systems, such as autonomous robots or intelligent observers, connect cognitive processes to sensory and effector systems in real time. Prime candidates for such embodied intelligence are neurally inspired architectures. While comp…
  crossref Oliver Lomp, Mathis Richter, Stephan K. U. Zibner, Gregor Schöner 2016-11-02T03:24:56Z 置信度 0.70
• Continuous mode adaptation for cable-driven rehabilitation robot using reinforcement learning
  Continuous mode adaptation is very important and useful to satisfy the different user rehabilitation needs and improve human–robot interaction (HRI) performance for rehabilitation robots. Hence, we propose a reinforcement-learning-based optimal admittance cont…
  pubmed Renyu Yang, Jianlin Zheng, Rong Song, Yang R 等 2022 置信度 0.82
• Introducing Depth Information Into Generative Target Tracking
  Common visual features used in target tracking, including colour and grayscale, are prone to failure in a confusingly similar-looking background. As the technology of three-dimensional visual information acquisition has gradually gained ground in recent years,…
  crossref Dongyue Sun, Xian Wang, Yonghong Lin, Tianlong Yang 等 2021-09-04T02:14:12Z 置信度 0.70
• Editorial: Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction
  EDITORIAL article Front. Neurorobot., 15 April 2021 https://doi.org/10.3389/fnbot.2021.673659
  crossref Bin Fang, Cheng Fang, Li Wen, Poramate Manoonpong 2021-04-15T05:16:25Z 置信度 0.70
• Locomotor Sub-functions for Control of Assistive Wearable Robots
  A primary goal of comparative biomechanics is to understand the fundamental physics of locomotion within an evolutionary context. Such an understanding of legged locomotion results in a transition from copying nature to borrowing strategies for interacting wit…
  crossref Maziar A. Sharbafi, Andre Seyfarth, Guoping Zhao 2017-09-04T13:05:25Z 置信度 0.70
• Rail surface defect data enhancement method based on improved ACGAN
  Rail surface defects present a significant safety concern in railway operations. However, the scarcity of data poses challenges for employing deep learning in defect detection. This study proposes an enhanced ACGAN augmentation method to address these issues. …
  crossref He Zhendong, Gao Xiangyang, Liu Zhiyuan, An Xiaoyu 等 2024-04-09T10:23:32Z 置信度 0.70
• A Clustering Algorithm for Multi-Modal Heterogeneous Big Data With Abnormal Data
  The problems of data abnormalities and missing data are puzzling the traditional multi-modal heterogeneous big data clustering. In order to solve this issue, a multi-view heterogeneous big data clustering algorithm based on improved Kmeans clustering is establ…
  crossref An Yan, Wei Wang, Yi Ren, HongWei Geng 2021-06-14T06:22:50Z 置信度 0.70
• Editorial: Neuromechanical Biomarkers in Robot-Assisted Motor Rehabilitation
  crossref Andrés Úbeda, Alvaro Costa-Garcia, Diego Torricelli, Ivan Vujaklija 等 2022-01-12T04:35:23Z 置信度 0.70
• Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient
  There has been substantial growth in research on the robot automation, which aims to make robots capable of directly interacting with the world or human. Robot learning for automation from human demonstration is central to such situation. However, the dependen…
  crossref Junjie Cao, Weiwei Liu, Yong Liu, Jian Yang 2020-04-21T19:39:52Z 置信度 0.70
• Application of Table Tennis Ball Trajectory and Rotation-Oriented Prediction Algorithm Using Artificial Intelligence
  The present work aims to accelerate sports development in China and promote technological innovation in the artificial intelligence (AI) field. After analyzing the application and development of AI, it is introduced into sports and applied to table tennis comp…
  crossref Qiang Liu, Hairong Ding 2022-05-11T12:33:54Z 置信度 0.70
• Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model
  A major challenge in modern robotics is to liberate robots from controlled industrial settings, and allow them to interact with humans and changing environments in the real-world. The current research attempts to determine if a neurophysiologically motivated m…
  openalex Mehdi Khamassi, Stéphane Lallée, Pierre Enel, Emmanuel Procyk 等 2011-01-01 置信度 0.72 Reinforcement learningComputer scienceRobotArtificial intelligenceControl (management)
• A Distributed Multi-Agent Formation Control Method Based on Deep Q Learning
  Distributed control method plays an important role in the formation of a multi-agent system (MAS), which is the prerequisite for an MAS to complete its missions. However, the lack of considering the collision risk between agents makes many distributed formatio…
  crossref Nianhao Xie, Yunpeng Hu, Lei Chen 2022-03-31T09:11:48Z 置信度 0.70
• Editorial: Brain-computer interface and its applications
  pubmed Duo Chen, Ke Liu, Jiayang Guo, Luzheng Bi 等 2023 置信度 0.82
• DILS: depth incremental learning strategy
  There exist various methods for transferring knowledge between neural networks, such as parameter transfer, feature sharing, and knowledge distillation. However, these methods are typically applied when transferring knowledge between networks of equal size or …
  pubmed Yanmei Wang, Zhi Han, Siquan Yu, Shaojie Zhang 等 2023 置信度 0.82
• Synaptic plasticity in a recurrent neural network for versatile and adaptive behaviors of a walking robot
  Walking animals, like insects, with little neural computing can effectively perform complex behaviors. For example, they can walk around their environment, escape from corners/deadlocks, and avoid or climb over obstacles. While performing all these behaviors, …
  crossref Eduard Grinke, Christian Tetzlaff, Florentin Wörgötter, Poramate Manoonpong 2015-10-13T19:26:54Z 置信度 0.70
• A novel CapsNet neural network based on MobileNetV2 structure for robot image classification
  Image classification indicates that it classifies the images into a certain category according to the information in the image. Therefore, extracting image feature information is an important research content in image classification. Traditional image classifi…
  crossref Jingsi Zhang, Xiaosheng Yu, Xiaoliang Lei, Chengdong Wu 2022-09-30T13:52:46Z 置信度 0.70
• Color Constancy via Multi-Scale Region-Weighed Network Guided by Semantics
  In obtaining color constancy, estimating the illumination of a scene is the most important task. However, due to unknown light sources and the influence of the external imaging environment, the estimated illumination is prone to color ambiguity. In this articl…
  crossref Fei Wang, Wei Wang, Dan Wu, Guowang Gao 2022-04-08T06:30:00Z 置信度 0.70
• Target Recognition of Industrial Robots Using Machine Vision in 5G Environment
  The purpose is to solve the problems of large positioning errors, low recognition speed, and low object recognition accuracy in industrial robot detection in a 5G environment. The convolutional neural network (CNN) model in the deep learning (DL) algorithm is …
  crossref Zhenkun Jin, Lei Liu, Dafeng Gong, Lei Li 2021-02-25T09:21:40Z 置信度 0.70
• Hybrid knowledge transfer for MARL based on action advising and experience sharing
  Multiagent Reinforcement Learning (MARL) has been well adopted due to its exceptional ability to solve multiagent decision-making problems. To further enhance learning efficiency, knowledge transfer algorithms have been developed, among which experience-sharin…
  crossref Feng Liu, Dongqi Li, Jian Gao 2024-05-07T10:16:27Z 置信度 0.70
• Is the Prosthetic Homologue Necessary for Embodiment?
  Embodiment is the process by which patients with limb loss come to accept their peripheral device as a natural extension of self. However, there is little guidance as to how exacting the prosthesis must be in order for embodiment to take place: is it necessary…
  crossref Chelsea Dornfeld, Michelle Swanston, Joseph Cassella, Casey Beasley 等 2016-12-22T08:42:36Z 置信度 0.70
• Closed-loop Robots Driven by Short-Term Synaptic Plasticity: Emergent Explorative vs. Limit-Cycle Locomotion
  We examine the hypothesis, that short-term synaptic plasticity (STSP) may generate self-organized motor patterns. We simulated sphere-shaped autonomous robots, within the LPZRobots simulation package, containing three weights moving along orthogonal internal r…
  crossref Laura Martin, Bulcsú Sándor, Claudius Gros 2016-10-18T09:02:36Z 置信度 0.70
• Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture
  Intelligent agents, such as robots, have to serve a multitude of autonomous functions. Examples are, e.g., collision avoidance, navigation and route planning, active sensing of its environment, or the interaction and non-verbal communication with people in the…
  crossref Georg Layher, Tobias Brosch, Heiko Neumann 2017-03-21T23:42:20Z 置信度 0.70
• Ongoing behavior predicts perceptual report of interval duration
  The ability to estimate the passage of time is essential for adaptive behavior in complex environments. Yet, it is not known how the brain encodes time over the durations necessary to explain animal behavior. Under temporally structured reinforcement schedules…
  crossref Thiago S. Gouvêa, Tiago Monteiro, Sofia Soares, Bassam V. Atallah 等 2014-03-11T12:58:24Z 置信度 0.70
• Editorial: Active Vision and Perception in Human-Robot Collaboration
  TEST 02 - Elsevier's Scopus, the largest abstract and citation database of peer-reviewed literature. Search and access research from the science, technology, medicine, social sciences and arts and humanities fields.
  crossref Dimitri Ognibene, Tom Foulsham, Letizia Marchegiani, Giovanni Maria Farinella 2022-02-08T04:32:46Z 置信度 0.70
• Adoption of Machine Learning Algorithm-Based Intelligent Basketball Training Robot in Athlete Injury Prevention
  In order to effectively prevent sports injuries caused by collisions in basketball training, realize efficient shooting, and reduce collisions, the machine learning algorithm was applied to intelligent robot for path planning in this study. First of all, combi…
  crossref Teng Xu, Lijun Tang 2021-01-15T04:25:51Z 置信度 0.70