仿生智能 · 全部实体（第 21 / 100 页）

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• A Neurorobotics Approach to Investigating the Emergence of Communication in Robots
  This paper introduces our approach to building a robot with communication capability based on the two key features: stochastic neural dynamics and prediction error minimization. A preliminary experiment showed that the humanoid robot was able to imitate other'…
  openalex Jungsik Hwang, Nadine Wirkuttis, Jun Tani 2019-03-01 置信度 0.72 RobotHumanoid robotKey (lock)Computer scienceArtificial intelligence
• Invariant Neuromorphic Representations of Tactile Stimuli Improve Robustness of a Real‐Time Texture Classification System
  Humans possess an exquisite sense of touch, which robotic and prosthetic systems aim to replicate. Algorithms are developed to create neuron‐like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and contact force appli…
  openalex Mark M. Iskarous, Zan Chaudhry, Fangjie Li, Samuel Bello 等 2025-04-10 置信度 0.72 Neuromorphic engineeringInvariant (physics)Robustness (evolution)Artificial intelligenceComputer science
• Neurorobotic Technology for Advanced Robot Motor Control
  Gående robotter har potentialet til at kunne gå overalt, hvor deres biologiske modparter også kan gå samt at krydse terræn utilgængeligt for de fleste robotter med hjul. De kan interagere med generiske fysiske miljøer designet til bevægelse med ben eller groft…
  openalex Mathias Thor 2021-11-17 置信度 0.72 RobotComputer scienceRobot controlControl (management)Engineering
• Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
  Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using machine learning models is a promising …
  openalex Pronab Ghosh, Sami Azam, Mirjam Jonkman, Asif Karim 等 2021-01-01 置信度 0.72 Lasso (programming language)Feature selectionComputer scienceMachine learningSelection (genetic algorithm)
• Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots?
  Research in the fields of Psychology and Neuroscience have provided strong evidence that mammals can adaptively switch between goal-directed behaviors - i.e. deliberative decisions based on costly but flexible planned long-term consequences of actions - and ha…
  openalex Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi 2015-08-01 置信度 0.72 Reinforcement learningComputer scienceFlexibility (engineering)Task (project management)Robot
• INTRODUCTION OF AN ELECTRONIC MODULE "ROBOTS, VIRTUAL REALITY AND NEUROROBOTICS IN REHABILITATION CLINICAL PRACTICE"
  INTRODUCTION OF AN ELECTRONIC MODULE "ROBOTS, VIRTUAL REALITY AND NEUROROBOTICS IN REHABILITATION CLINICAL PRACTICE"
  openalex Radoslav Yoshinov, Borislav Yoshinov, Ivet Koleva 2024-03-01 置信度 0.72 Virtual realityRobotHuman–computer interactionRehabilitationComputer science
• A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks
  Biological intelligence processes information using impulses or spikes, which makes those living creatures able to perceive and act in the real world exceptionally well and outperform state-of-the-art robots in almost every aspect of life. To make up the defic…
  openalex Zhenshan Bing, Claus Meschede, Florian Röhrbein, Kai Huang 等 2018-07-06 置信度 0.72 Spiking neural networkArtificial intelligenceComputer scienceRoboticsRobot
• Neurorobotics Approach to Explanatory Gaps in Neurodevelopmental Disorders
  神経発達障害の神経レベルと認知行動レベルの特性について，観察に基づいた生物学的知見が蓄積されているが，これらの間には説明のギャップが存在する．計算論的精神医学では，脳の計算モデルを使用することでこの課題にアプローチし，症状形成メカニズムの統合的な理解を試みている．特に予測情報処理理論に基づいた計算モデルの枠組みでは，感覚刺激あるいはその原因（環境）に関する情報精度（不確実性）の推定異常が，自閉スペクトラム症を含む神経発達障害と関与していることが示唆されている．しかし，症状形成における学習発達の側面や身体性（脳–身体…
  openalex Hayato Idei 2022-06-05 置信度 0.72 Computer science
• Studies of Cognitive Neurorobotics Based on the Free Energy Principle
  は じ め に カール・フリストン(Karl Friston)が提案した自由エ ネルギー原理(Free Energy Principle: FEP)[9] は近年神 経科学のみならず，精神医学，社会心理学，理論生物学等， さらには意識の哲学(現象学)等の研究者達の高い注目を 集めている．Friston 自身が述べているように，
  openalex Jun Tani 2023-01-01 置信度 0.72 Computer science
• Handbook of Robotics, Neurorobotics: From Vision to Action
  openalex Michael A. Arbib, Giorgio Metta, Smagt van der, Patrick 2008-09-01 置信度 0.72 Artificial intelligenceRoboticsAction (physics)Computer visionComputer science
• An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence
  A binary classification is a computational procedure that labels data elements as members of one or another category. In machine learning and computational statistics, input data elements which are part of two classes are usually encoded as 0's or -1's (negati…
  openalex Davide Chicco, Giuseppe Jurman 2022-03-25 置信度 0.72 RoboticsArtificial intelligenceComputer scienceCorrelation coefficientCorrelation
• A deep-learned skin sensor decoding the epicentral human motions
  State monitoring of the complex system needs a large number of sensors. Especially, studies in soft electronics aim to attain complete measurement of the body, mapping various stimulations like temperature, electrophysiological signals, and mechanical strains.…
  openalex Kyun Kyu Kim, Inho Ha, Min Kim, Joonhwa Choi 等 2020-05-01 置信度 0.72 Computer scienceArtificial intelligenceComputer visionTracking (education)Continuous monitoring
• Electrical spinal cord stimulation must preserve proprioception to enable locomotion in humans with spinal cord injury
  openalex Emanuele Formento, Karen Minassian, Fabien B. Wagner, Jean-Baptiste Mignardot 等 2018-10-31 置信度 0.72 ProprioceptionNeuroscienceSpinal cord injuryStimulationSpinal cord
• Accounting for the Minimal Self and the Narrative Self: Robotics Experiments Using Predictive Coding.
  This paper proposes that the mind comprises emergent phenomena that appear via intricate and often conflicting interactions between top-down intentional processes involved in proactively acting on the external world, and bottom-up recognition processes involve…
  openalex Jun Tani 2019-01-01 置信度 0.72 Predictive codingArtificial intelligenceCoding (social sciences)Computer scienceNarrative
• Contextual encoder–decoder network for visual saliency prediction
  Predicting salient regions in natural images requires the detection of objects that are present in a scene. To develop robust representations for this challenging task, high-level visual features at multiple spatial scales must be extracted and augmented with …
  openalex Alexander Kröner, Mario Senden, Kurt Driessens, Rainer Goebel 2020-05-08 置信度 0.72 Computer scienceArtificial intelligenceConvolutional neural networkEncoderSalient
• A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
  The surface electromyography (sEMG)-based gesture recognition with deep learning approach plays an increasingly important role in human-computer interaction. Existing deep learning architectures are mainly based on Convolutional Neural Network (CNN) architectu…
  openalex Yu Hu, Yongkang Wong, Wentao Wei, Yu Du 等 2018-10-30 置信度 0.72 Computer scienceConvolutional neural networkBenchmark (surveying)Artificial intelligenceDeep learning
• Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons
  Neuromorphic systems, inspired by nature, are sought to efficiently process analogue inputs in real and complex environments. This could lead to ultralow-power in-sensor intelligent edge computers. Here, we present an artificial sensory oscillator neuron consi…
  openalex Bejoys Jacob, Juan Silva, J. M. L. Figueiredo, Jana B. Nieder 等 2025-02-25 置信度 0.72 Neuromorphic engineeringSensory systemPhotonicsDifferential (mechanical device)Neuroscience
• Neurotechnology: Methods, advances and applications
  This book focuses on recent advances and future trends in the methods and applications of technologies that are used in neuroscience for the evaluation, diagnosis and treatment of neurological diseases and conditions or for the improvement of quality of life. …
  openalex Albuquerque, Victor Hugo C. de, Athanasiou, Alkinoos, Ribeiro, Sidarta 2020-05-11 置信度 0.72 Computer science
• Integration of paired spiking cerebellar models for voluntary movement adaptation in a closed-loop neuro-robotic experiment. A simulation study
  Motor control is a very important feature in the human brain to achieve optimal performance in motor tasks. The biological basis of this feature can be better understood by emulating the cerebellar mechanisms of learning. The cerebellum plays a key role in imp…
  openalex Carlos Corchado, Alberto Antonietti, Marie Claire Capolei, Claudia Casellato 等 2019-09-01 置信度 0.72 Movement (music)Computer scienceAdaptation (eye)Closed loopNeurophysiology
• Learning Techniques for Neurorobotics -- A Survey on the Role of the Factor Time
  openalex Florian Walter, Florian Röhrbein, Alois Knoll 2015-01-01 置信度 0.72 Factor (programming language)Computer scienceProgramming language
• Application of Target Detection Method Based on Convolutional Neural Network in Sustainable Outdoor Education
  In order to realize the intelligence of underwater robots, this exploration proposes a submersible vision system based on neurorobotics to obtain the target information in underwater camera data. This exploration innovatively proposes a method based on the con…
  openalex Xiaoming Yang, Shamsulariffin Samsudin, Yuxuan Wang, Yubin Yuan 等 2023-01-31 置信度 0.72 UnderwaterConvolutional neural networkArtificial intelligenceComputer scienceField (mathematics)
• Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control
  The neuroplasticity rule Differential Extrinsic Plasticity (DEP) has been studied in the context of goal-free simulated agents, producing realistic-looking, environmentally-aware behaviors, but no successful control mechanism has yet been implemented for inten…
  crossref Simon Birrell, Arsen Abdulali, Fumiya Iida 2022-06-01T13:59:43Z 置信度 0.70
• Feature Interaction Dual Self-attention network for sequential recommendation
  Combining item feature information helps extract comprehensive sequential patterns, thereby improving the accuracy of sequential recommendations. However, existing methods usually combine features of each item using a vanilla attention mechanism. We argue that…
  crossref Yunfeng Zhu, Shuchun Yao, Xun Sun 2024-08-16T01:10:36Z 置信度 0.70
• Robust Event-Based Object Tracking Combining Correlation Filter and CNN Representation
  Object tracking based on the event-based camera or dynamic vision sensor (DVS) remains a challenging task due to the noise events, rapid change of event-stream shape, chaos of complex background textures, and occlusion. To address the challenges, this paper pr…
  crossref Hongmin Li, Luping Shi 2019-10-10T04:23:06Z 置信度 0.70
• Geometric Affordance Perception: Leveraging Deep 3D Saliency With the Interaction Tensor
  Agents that need to act on their surroundings can significantly benefit from the perception of their interaction possibilities or affordances. In this paper we combine the benefits of the Interaction Tensor, a straight-forward geometrical representation that c…
  crossref Eduardo Ruiz, Walterio Mayol-Cuevas 2020-07-07T11:06:27Z 置信度 0.70
• A brain-inspired robot pain model based on a spiking neural network
  Introduction Pain is a crucial function for organisms. Building a “Robot Pain” model inspired by organisms' pain could help the robot learn self-preservation and extend longevity. Most previous studies about robots and pain focus on robots interacting with peo…
  pubmed Hui Feng, Yi Zeng, Feng H, Zeng Y 2022 置信度 0.82
• Application of conditional generative adversarial network to multi-step car-following modeling
  Car-following modeling is essential in the longitudinal control for connected and autonomous vehicles (CAVs). Considering the advantage of the generative adversarial network (GAN) in capturing realistic data distribution, this paper applies conditional GAN (CG…
  pubmed Lijing Ma, Shiru Qu, Ma L, Qu S 2023 置信度 0.82
• Comparing the effect of humanoid and human face for the spatial orientation of attention
  The current study was designed to investigate how the automatic spatial orientation of attention induced by the perception of another agent's orientation of attention is modulated by the social nature of the other agent. Modified versions of the Posner task, u…
  crossref Thierry Chaminade, Maria M. Okka 2013-09-03T03:33:43Z 置信度 0.70
• Rasch-Built Measure of Pleasant Touch through Active Fingertip Exploration
  Background Evidence suggests that somatic sensation has a modality for pleasant touch. Objective To investigate pleasant touch at the fingertip level (i.e., glabrous skin site) through the elaboration of a linear unidimensional scale that measures (i) various …
  crossref Anne Klöcker, Carlyne Arnould, Massimo Penta, Jean-Louis Thonnard 2012-06-21T17:26:40Z 置信度 0.70
• Bi-criteria Acceleration Level Obstacle Avoidance of Redundant Manipulator
  In this paper, an improved obstacle-avoidance-scheme-based kinematic control problem in acceleration level for a redundant robot manipulator is investigated. Specifically, the manipulator and obstacle are abstracted as mathematical geometries, based on the vec…
  crossref Weifeng Zhao, Xiaoxiao Li, Xin Chen, Xin Su 等 2020-10-15T05:50:52Z 置信度 0.70
• Robust Learning Control for Shipborne Manipulator With Fuzzy Neural Network
  The shipborne manipulator plays an important role in autonomous collaboration between marine vehicles. In real applications, a conventional proportional-derivative (PD) controller is not suitable for the shipborne manipulator to conduct safe and accurate opera…
  crossref Zhiqiang Xu, Wanli Li, Yanran Wang 2019-04-04T04:51:27Z 置信度 0.70
• Robot Communication: Network Traffic Classification Based on Deep Neural Network
  With the rapid popularization of robots, the risks brought by robot communication have also attracted the attention of researchers. Because current traffic classification methods based on plaintext cannot classify encrypted traffic, other methods based on stat…
  crossref Mengmeng Ge, Xiangzhan Yu, Likun Liu 2021-03-19T14:42:57Z 置信度 0.70
• Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity
  In recent years, with the continuous development of drone technology, UAVs are used as unmanned and flightable devices, UAV plays an important role in remote sensing and GIS disciplines. During the flight, no one directly participates in flight-related decisio…
  crossref Huijuan Zhang 2021-07-14T13:17:41Z 置信度 0.70
• Gaze-Based Intention Estimation for Shared Autonomy in Pick-and-Place Tasks
  Shared autonomy aims at combining robotic and human control in the execution of remote, teleoperated tasks. This cooperative interaction cannot be brought about without the robot first recognizing the current human intention in a fast and reliable way so that …
  crossref Stefan Fuchs, Anna Belardinelli 2021-04-16T17:55:35Z 置信度 0.70
• PoseRL-Net: human pose analysis for motion training guided by robot vision
  Objective To address the limitations of traditional methods in human pose recognition, such as occlusions, lighting variations, and motion continuity, particularly in complex dynamic environments for seamless human-robot interaction. Method We propose PoseRL-N…
  crossref Bin Liu, Hui Wang 2025-03-05T07:12:00Z 置信度 0.70
• From self-assessment to frustration, a small step toward autonomy in robotic navigation
  Autonomy and self-improvement capabilities are still challenging in the fields of robotics and machine learning. Allowing a robot to autonomously navigate in wide and unknown environments not only requires a repertoire of robust strategies to cope with miscell…
  crossref Adrien Jauffret, Nicolas Cuperlier, Philippe Tarroux, Philippe Gaussier 2013-10-08T06:35:40Z 置信度 0.70
• Sensory feedback plays a significant role in generating walking gait and in gait transition in salamanders: a simulation study
  Here, we investigate the role of sensory feedback in gait generation and transition by using a three-dimensional, neuro-musculo-mechanical model of a salamander with realistic physical parameters. Activation of limb and axial muscles were driven by neural outp…
  crossref Nalin Harischandra 2011-11-04T10:36:36Z 置信度 0.70
• Research on steel rail surface defects detection based on improved YOLOv4 network
  Introduction The surface images of steel rails are extremely difficult to detect and recognize due to the presence of interference such as light changes and texture background clutter during the acquisition process. Methods To improve the accuracy of railway d…
  pubmed Zengzhen Mi, Ren Chen, Shanshan Zhao, Mi Z 等 2023 置信度 0.82
• sEMG-Based Natural Control Interface for a Variable Stiffness Transradial Hand Prosthesis
  We propose, implement, and evaluate a natural human-machine control interface for a variable stiffness transradial hand prosthesis that achieves tele-impedance control through surface electromyography (sEMG) signals. This interface, together with variable stif…
  crossref Elif Hocaoglu, Volkan Patoglu 2022-03-11T13:28:39Z 置信度 0.70
• Peripheral Neuroergonomics – An Elegant Way to Improve Human-Robot Interaction?
  The day seems not too far away, in which robots will be an active part of our daily life, just like electric appliances already are. Hence, there is an increasing need for paradigms, tools, and techniques to design proper human-robot interaction in a human-cen…
  crossref Alessandro Del Vecchio, Claudio Castellini, Philipp Beckerle 2021-08-20T08:21:07Z 置信度 0.70
• A psychology based approach for longitudinal development in cognitive robotics
  A major challenge in robotics is the ability to learn, from novel experiences, new behavior that is useful for achieving new goals and skills. Autonomous systems must be able to learn solely through the environment, thus ruling out a priori task knowledge, tun…
  crossref J. Law, P. Shaw, K. Earland, M. Sheldon 等 2014-01-27T02:35:31Z 置信度 0.70
• Editorial: Peripheral Nervous System-Machine Interfaces (PNS-MI)
  EDITORIAL article Front. Neurorobot., 24 October 2017 | https://doi.org/10.3389/fnbot.2017.00054
  crossref Michael Wininger, Panagiotis Artemiadis, Claudio Castellini, Patrick Pilarski 2017-10-24T04:15:08Z 置信度 0.70
• Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances
  Neural conditioning associates cues and actions with following rewards. The environments in which robots operate, however, are pervaded by a variety of disturbing stimuli and uncertain timing. In particular, variable reward delays make it difficult to reconstr…
  crossref Andrea Soltoggio, Andre Lemme, Felix Reinhart, Jochen J. Steil 2013-04-02T05:18:04Z 置信度 0.70
• Editorial: Constructive approach to spatial cognition in intelligent robotics
  pubmed Akira Taniguchi, Michael Spranger, Hiroshi Yamakawa, Tetsunari Inamura 等 2022 置信度 0.82
• Editorial: Collaborative interaction and control for intelligent human-robot systems
  pubmed Rui Huang, Kecheng Shi, Xin Li, Kaibo Shi 等 2023 置信度 0.82
• On collective behavior in C. elegans
  C. elegans is a model organism in many biological domains, such as genetics, neurophysiology, and behavioral ecology. Despite our relatively deep knowledge of the neuronal, genetic and molecular mechanisms underlying C. elegans communication, we still lack a c…
  crossref Nemanja Antonic, Aymeric Vellinger, Elio Tuci 2025-11-17T06:26:14Z 置信度 0.70
• Curiosity driven reinforcement learning for motion planning on humanoids
  Most previous work on textit{artificial curiosity} and textit{intrinsic motivation} focuses on basic concepts and theory. Experimental results are generally limited to toy scenarios, such as navigation in a simulated maze, or control of a simple mechanical sys…
  openalex Mikhail Frank, Jürgen Leitner, Marijn Stollenga, Alexander Förster 等 2014-01-01 置信度 0.72 iCubCuriosityComputer scienceReinforcement learningHumanoid robot
• Robust robot image classification toward cyber-physical system-based closed-loop package design evaluation
  The package design can transmit the value of a product to consumers visually and can therefore influence the consumers' decisions. The traditional package design is an open-loop process in which a design can only be evaluated after the products are sent to the…
  pubmed Shacheng Liu, Liu S 2022 置信度 0.82
• Influence of Human–Computer Interaction-Based Intelligent Dancing Robot and Psychological Construct on Choreography
  To study the influence of Artificial Intelligence (AI) on dancing robots in choreography, this paper introduces the biped-humanoid robot-imagined choreography model alongside the Psychological Space Construction (Psychological Construct) and Human–Computer Int…
  crossref Liu Yang 2022-05-18T15:36:19Z 置信度 0.70
• Control Framework for Sloped Walking With a Powered Transfemoral Prosthesis
  User customization of a lower-limb powered Prosthesis controller remains a challenge to this date. Controllers adopting impedance control strategies mandate tedious tuning for every joint, terrain condition, and user. Moreover, no relationship is known to exis…
  crossref Namita Anil Kumar, Shawanee Patrick, Woolim Hong, Pilwon Hur 2022-01-11T04:34:23Z 置信度 0.70
• Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots
  crossref Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto, Gianluca Baldassarre 2020-01-17T07:09:36Z 置信度 0.70
• A Brain-Inspired Model of Theory of Mind
  Theory of mind (ToM) is the ability to attribute mental states to oneself and others, and to understand that others have beliefs that are different from one's own. Although functional neuroimaging techniques have been widely used to establish the neural correl…
  crossref Yi Zeng, Yuxuan Zhao, Tielin Zhang, Dongcheng Zhao 等 2020-08-28T04:58:20Z 置信度 0.70
• Learning Actions From Natural Language Instructions Using an ON-World Embodied Cognitive Architecture
  Endowing robots with the ability to view the world the way humans do, to understand natural language and to learn novel semantic meanings when they are deployed in the physical world, is a compelling problem. Another significant aspect is linking language to a…
  crossref Ioanna Giorgi, Angelo Cangelosi, Giovanni L. Masala 2021-05-13T06:40:52Z 置信度 0.70
• MusicARLtrans Net: a multimodal agent interactive music education system driven via reinforcement learning
  Introduction In recent years, with the rapid development of artificial intelligence technology, the field of music education has begun to explore new teaching models. Traditional music education research methods have primarily focused on single-modal studies s…
  crossref Jie Chang, Zhenmeng Wang, Chao Yan 2024-11-21T06:24:52Z 置信度 0.70
• Sensory prediction on a whiskered robot: a tactile analogy to “optical flow”
  When an animal moves an array of sensors (e.g., the hand, the eye) through the environment, spatial and temporal gradients of sensory data are related by the velocity of the moving sensory array. In vision, the relationship between spatial and temporal brightn…
  crossref Christopher L. Schroeder, Mitra J. Z. Hartmann 2012-10-22T08:52:39Z 置信度 0.70
• SAUV—A Bio-Inspired Soft-Robotic Autonomous Underwater Vehicle
  Autonomous and remotely operated underwater vehicles allow us to reach places which have previously been inaccessible and perform complex repair, exploration and analysis tasks. As their navigation is not infallible, they may cause severe damage to themselves …
  crossref Fabian Plum, Susanna Labisch, Jan-Henning Dirks 2020-02-21T12:41:28Z 置信度 0.70
• Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics
  In embodied computation (or morphological computation), part of the complexity of motor control is offloaded to the body dynamics. We demonstrate that a simple Hebbian-like learning rule can be used to train systems with (partial) embodiment, and can be extend…
  crossref Jeroen Burms, Ken Caluwaerts, Joni Dambre 2015-08-17T08:14:06Z 置信度 0.70
• The application prospects of robot pose estimation technology: exploring new directions based on YOLOv8-ApexNet
  Introduction Service robot technology is increasingly gaining prominence in the field of artificial intelligence. However, persistent limitations continue to impede its widespread implementation. In this regard, human motion pose estimation emerges as a crucia…
  crossref XianFeng Tang, Shuwei Zhao 2024-04-05T04:58:13Z 置信度 0.70
• The Curved Openspace Algorithm and a Spike-Latency Model for Sonar-Based Obstacle Avoidance
  The rapid control of a sonar-guided vehicle to pursue a goal while avoiding obstacles has been a persistent research topic for decades. Taking into account the limited field-of-view of practical sonar systems and vehicle kinematics, we propose a neural model f…
  crossref Chenxi Wen, Timothy K. Horiuchi 2022-06-01T14:07:34Z 置信度 0.70
• Multimodal bipedal locomotion generation with passive dynamics via deep reinforcement learning
  Generating multimodal locomotion in underactuated bipedal robots requires control solutions that can facilitate motion patterns for drastically different dynamical modes, which is an extremely challenging problem in locomotion-learning tasks. Also, in such mul…
  pubmed Shunsuke Koseki, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe 等 2022 置信度 0.82
• A realistic implementation of ultrasound imaging as a human-machine interface for upper-limb amputees
  In the past years, especially with the advent of multi-fingered hand prostheses, the rehabilitation robotics community has tried to improve the use of human-machine interfaces to reliably control mechanical artifacts with many degrees of freedom. Ideally, the …
  openalex David Sierra González, Claudio Castellini, David González 2013-01-01 置信度 0.72 Computer scienceArtificial intelligenceRoboticsKinematicsComputer vision
• Humanoid Robot Cooperative Motion Control Based on Optimal Parameterization
  The implementation of low-energy cooperative movements is one of the key technologies for the complex control of the movements of humanoid robots. A control method based on optimal parameters is adopted to optimize the energy consumption of the cooperative mov…
  crossref Qiubo Zhong, Yaoyun Li, Caiming Zheng, Tianyao Shen 2021-06-21T07:48:51Z 置信度 0.70
• Muscle Co-Contraction Modulates Damping and Joint Stability in a Three-Link Biomechanical Limb
  Computational models of neuromotor control require forward models of limb movement that can replicate the natural relationships between muscle activation and joint dynamics without the burdens of excessive anatomical detail. We present a model of a three-link …
  openalex Stewart Heitmann, Norm Ferns, Michael Breakspear 2012-01-01 置信度 0.72 Muscle contractionTorqueElasticity (physics)Contraction (grammar)Computer science
• Learning of Central Pattern Generator Coordination in Robot Drawing
  How do robots learn to perform motor tasks in a specific condition and apply what they have learned in a new condition? This paper proposes a framework for motor coordination acquisition of a robot drawing straight lines within a part of the workspace. Then, i…
  crossref Payam Atoofi, Fred H. Hamker, John Nassour 2018-07-23T04:32:06Z 置信度 0.70
• A reinforcement learning enhanced pseudo-inverse approach to self-collision avoidance of redundant robots
  Introduction Redundant robots offer greater flexibility compared to non-redundant ones but are susceptible to increased collision risks when the end-effector approaches the robot's own links. Redundant degrees of freedom (DoFs) present an opportunity for colli…
  pubmed Tinghe Hong, Weibing Li, Kai Huang, Hong T 等 2024 置信度 0.82
• A Novel Model for Arbitration Between Planning and Habitual Control Systems
  It is well-established that human decision making and instrumental control uses multiple systems, some which use habitual action selection and some which require deliberate planning. Deliberate planning systems use predictions of action-outcomes using an inter…
  crossref Farzaneh Sheikhnezhad Fard, Thomas P. Trappenberg 2019-07-11T12:48:26Z 置信度 0.70
• Computational Modeling: Human Dynamic Model
  Improvements in quantitative measurements of human physical activity are proving extraordinarily useful for studying the underlying musculoskeletal system. Dynamic models of human movement support clinical efforts to analyze, rehabilitate injuries. They are al…
  crossref Lijia Liu, Joseph L. Cooper, Dana H. Ballard 2021-09-24T20:57:51Z 置信度 0.70
• Blind Face Restoration via Multi-Prior Collaboration and Adaptive Feature Fusion
  Blind face restoration (BFR) from severely degraded face images is important in face image processing and has attracted increasing attention due to its wide applications. However, due to the complex unknown degradations in real-world scenarios, existing priors…
  crossref Zi Teng, Xiaosheng Yu, Chengdong Wu 2022-02-04T13:20:57Z 置信度 0.70
• Learning tactile skills through curious exploration
  We present curiosity-driven, autonomous acquisition of tactile exploratory skills on a biomimetic robot finger equipped with an array of microelectromechanical touch sensors. Instead of building tailored algorithms for solving a specific tactile task, we emplo…
  crossref Leo Pape, Calogero M. Oddo, Marco Controzzi, Christian Cipriani 等 2012-07-23T07:48:55Z 置信度 0.70
• Automated Instability Detection for Interactive Myocontrol of Prosthetic Hands
  Myocontrol is control of a prosthetic device using data obtained from (residual) muscle activity. In most myocontrol prosthetic systems, such biological data also denote the subject's intent: reliably interpreting what the user wants to do, exactly and only wh…
  crossref Roberto Meattini, Markus Nowak, Claudio Melchiorri, Claudio Castellini 2019-08-27T05:13:45Z 置信度 0.70
• Brain inspired path planning algorithms for drones
  Introduction With the development of artificial intelligence and brain science, brain-inspired navigation and path planning has attracted widespread attention. Methods In this paper, we present a place cell based path planning algorithm that utilizes spiking n…
  pubmed Yixun Chao, Philipp Augenstein, Arne Roennau, Ruediger Dillmann 等 2023 置信度 0.82
• CAM-Vtrans: real-time sports training utilizing multi-modal robot data
  Introduction Assistive robots and human-robot interaction have become integral parts of sports training. However, existing methods often fail to provide real-time and accurate feedback, and they often lack integration of comprehensive multi-modal data. Methods…
  crossref Hong LinLin, Lee Sangheang, Song GuanTing 2024-10-11T05:10:20Z 置信度 0.70
• Editorial: Perception recovery and augmentation in medical robotics
  pubmed Wenfeng Zheng, Jian Huang, Chao Liu, Bo Yang 等 2022 置信度 0.82
• Robot End Effector Tracking Using Predictive Multisensory Integration
  We propose a biologically inspired model that enables a humanoid robot to learn how to track its end effector by integrating visual and proprioceptive cues as it interacts with the environment. A key novel feature of this model is the incorporation of sensorim…
  crossref Lakshitha P. Wijesinghe, Jochen Triesch, Bertram E. Shi 2018-10-16T10:22:32Z 置信度 0.70
• Carving Up Participation: Sense-Making and Sociomorphing for Artificial Minds
  AI (broadly speaking) as a discipline and practice has tended to misconstrue social cognition by failing to properly appreciate the role and structure of the interaction itself. Participatory Sense-Making (PSM) offers a new level of description in understandin…
  crossref Robin L. Zebrowski, Eli B. McGraw 2022-06-14T21:37:10Z 置信度 0.70
• Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns
  Introduction Segmentation tasks in computer vision play a crucial role in various applications, ranging from object detection to medical imaging and cultural heritage preservation. Traditional approaches, including convolutional neural networks (CNNs) and stan…
  crossref Lv Yongyin, Yu Caixia 2024-12-13T11:20:07Z 置信度 0.70
• Dexterous Manipulation for Multi-Fingered Robotic Hands With Reinforcement Learning: A Review
  With the increasing demand for the dexterity of robotic operation, dexterous manipulation of multi-fingered robotic hands with reinforcement learning is an interesting subject in the field of robotics research. Our purpose is to present a comprehensive review …
  crossref Chunmiao Yu, Peng Wang 2022-04-25T13:25:29Z 置信度 0.70
• Neural Implants: A Review Of Current Trends And Future Perspectives
  Recent progress in microfabrication technique allowed the rapid development of neural implants. They are getting categorized as effective tools for clinical practice, especially to treat traumatic and neurodegenerative disorders. Microelectrode arrays already …
  preprints 2022 置信度 0.74
• Visiomode: an open-source platform for building rodent touchscreen-based behavioral assays
  Background Touchscreen-based behavioral assays provide a robust method for assessing cognitive behavior in rodents, offering great flexibility and translational potential. The development of touchscreen assays presents a significant programming and mechanical …
  preprints 2022 置信度 0.74
• Protocol for a randomised controlled feasibility trial of HD-DRUM, a rhythmic movement training application for cognitive and motor symptoms in people with Huntington’s disease
  ABSTRACT Introduction Huntington’s disease (HD) is an inherited neurodegenerative disease causing progressive cognitive and motor decline, largely due to basal ganglia (BG) atrophy. Rhythmic training offers promise as therapy to counteract BG-regulated deficit…
  preprints 2023 置信度 0.74
• Development of a smartphone screening test for preclinical Alzheimer's disease and validation across the dementia continuum
  Abstract Background Dementia prevalence is predicted to triple to 152 million globally by 2050. Alzheimer's disease (AD) constitutes 70% of cases. There is an urgent need to identify individuals with preclinical AD (a 10–20-year period of progressive brain pat…
  preprints 2023 置信度 0.74
• Real-time tractography-assisted neuronavigation for TMS
  Background State-of-the-art navigated transcranial magnetic stimulation (nTMS) systems can display the TMS coil position relative to the structural magnetic resonance image (MRI) of the subject’s brain and calculate the induced electric field. However, the loc…
  preprints 2023 置信度 0.74
• Clinical Rationale for Dietary Lutein Supplementation in Post COVID-19 and mRNA Vaccine Injury Syndromes
  Lutein, a plant-derived xanthophyl-carotenoid, is an exceptional antioxidant and anti-inflammatory constituent found in food. Elevated concentrations of lutein found in human blood and plasma, due to high dietary intake, are beneficial against eye disease and …
  preprints 2023 置信度 0.74
• A Proposed Novel Methodology for Vehicle Control System by Gesture & Haptic Mode of Driver
  A novel methodology is proposed here for drivers commanding the vehicle through his gestures and haptic sensation that are connected to Master control system (MCS) which acts as an master interface between the driver and the different machinery sensors inside …
  preprints 2023 置信度 0.74
• Interpretable full-epoch multiclass decoding for M/EEG
  Multivariate pattern analysis (MVPA) of Magnetoencephalography (MEG) and Electroencephalography (EEG) data is a valuable tool for understanding how the brain represents and discriminates between different stimuli. Identifying the spatial and temporal signature…
  preprints 2023 置信度 0.74
• Identifying Temporal Correlations Between Natural Single-shot Videos and EEG Signals
  A bstract Objective Electroencephalography (EEG) is a widely used technology for recording brain activity in brain-computer interface (BCI) research, where understanding the encoding-decoding relationship between stimuli and neural responses is a fundamental c…
  preprints 2023 置信度 0.74
• Ultrasound super-resolution imaging of neonatal cerebral vascular reorganization during neurovascular interventions
  Abstract During the first days of neonatal growth, the central nervous system (CNS) develops self-regulatory mechanisms to ensure constant cerebral perfusion. However, this vascular neogenesis takes place at a microscopic scale that cannot be observed with cur…
  preprints 2023 置信度 0.74
• Computer Vision Object Tracking on Navigators in a Modular, Sequence-Independent Motion Compensation Pipeline
  Abstract Magnetic resonance (MR) acquisitions of the torso are frequently affected by respiratory motion with detrimental effects on signal quality. The motion of organs inside the body is typically decoupled from surface motion and is best captured using rapi…
  preprints 2023 置信度 0.74
• The release of inhibition model reproduces kinetics and plasticity of neurotransmitter release in central synapses
  Abstract Calcium-evoked release of neurotransmitters from synaptic vesicles (SVs) is catalysed by SNARE proteins. The predominant view is that, at rest, complete assembly of SNARE complexes is inhibited (‘clamped’) by synaptotagmin and complexin molecules. Cal…
  preprints 2023 置信度 0.74
• The COMBO window: A chronic cranial implant for multiscale circuit interrogation in mice
  ABSTRACT Neuroscientists studying the neural correlates of mouse behavior often lack access to the brain-wide activity patterns elicited during a specific task of interest. Fortunately, large-scale imaging is becoming increasingly accessible thanks to modaliti…
  preprints 2023 置信度 0.74
• Blink Rate Variability as a Measure of Computer Vision Syndrome
  Due to the COVID-19 pandemic and working from home with portable devices, we are spending a longtime on the device screen. Prolonged focus on devices like computer screens, tablets, e-readers, and cellphones – Video Display Terminals (VDTs) has been linked wit…
  preprints 2022 置信度 0.74
• Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophrenia
  Machine learning can be used to define subtypes of psychiatric conditions based on shared clinical and biological foundations, presenting a crucial step toward establishing biologically based subtypes of mental disorders. With the goal of identifying subtypes …
  preprints 2023 置信度 0.74
• Rate of brain aging associates with future executive function in Asian children and older adults
  ABSTRACT Brain age has emerged as a powerful tool to understand neuroanatomical aging and its link to health outcomes like cognition. However, there remains a lack of studies investigating the rate of brain aging and its relationship to cognition. Furthermore,…
  preprints 2023 置信度 0.74
• Assessment and Therapeutic Modulation of Heart Rate Variability: Potential Implications in Patients with COVID-19
  Cardiac damage has been attributed to SARS-Cov-2-related pathology contributing to increased risk of vascular events. Heart rate variability (HRV) is a parameter of functional neurocardiac integrity with low HRV constituting an independent predictor of cardiov…
  preprints 2023 置信度 0.74
• T-Rex: sTandalone Recorder of EXperiments; An easy and versatile neural recording platform
  A bstract Recording time in invasive neuroscientific empirical research is short and must be used as efficiently as possible. Time is often lost due to long setup times and errors by the researcher. Minimizing the number of manual actions reduces both and can …
  preprints 2022 置信度 0.74
• Wearable Neurofeedback Acceptance Model: An Investigation within Academic Settings to Explore a Multimodal Framework for Student Stress and Anxiety Management
  Mental health, seen as an integral part of our general well-being, can be considered critically important for everyone, everywhere. Restrictions imposed during the Covid-19 pandemic brought extra significant mental health consequences, including increased diff…
  preprints 2023 置信度 0.74
• Methodology and Preliminary Data on Feasibility of a Neurofeedback Protocol to Improve Visual Attention to Letters in Mild Alzheimer's Disease
  Background: Brain-computer interface (BCI) systems are controlled by users through neurophysiological input for a variety of applications, including communication, environmental control, and motor rehabilitation. Although individuals with severe speech and phy…
  preprints 2022 置信度 0.74
• The impact of Artificial Intelligence on Data System Security: A Literature Review
  Diverse forms of artificial intelligence (AI in further text) are at the forefront of triggering digital security innovations, based on the threats that are arising in this post COVID world. On the one hand, companies are experiencing difficulty in dealing wit…
  preprints 2021 置信度 0.74
• Cortical signatures of sleep are altered following effective deep brain stimulation for depression
  Deep brain stimulation (DBS) of the subcallosal cingulate cortex (SCC) is an experimental therapy for treatment-resistant depression (TRD). Chronic SCC DBS leads to long-term changes in the electrophysiological dynamics measured from local field potential (LFP…
  preprints 2023 置信度 0.74
• The Montreal Antenatal Well-Being Study (MAWS): a prospective longitudinal study of perinatal mental health.
  Objective: This prospective longitudinal cohort aims to identify biological, psychological, and social factors that contribute to maternal perinatal mental health, family well-being, and child development. Method: Pregnant individuals (N=1130) were recruited b…
  preprints 2023 置信度 0.74