仿生智能 · 全部实体（第 8 / 100 页）

本页收录第 701–800 条，共 10000 条 · 返回 仿生智能 首页

• Application of Deep Convolution Network Algorithm in Sports Video Hot Spot Detection
  Sports videos are blowing up over the internet with enriching material life and the higher pursuit of spiritual life of people. Thus, automatically identifying and detecting helpful information from videos have arisen as a relatively novel research direction. …
  crossref Yaling Zhang, Huan Tang, Fateh Zereg, Dekai Xu 2022-06-03T10:15:32Z 置信度 0.70
• CNN Based Detectors on Planetary Environments: A Performance Evaluation
  An essential characteristic that an exploration robot must possess is to be autonomous. This is necessary because it will usually do its task in remote or hard-to-reach places. One of the primary elements of a navigation system is the information that can be a…
  crossref Federico Furlán, Elsa Rubio, Humberto Sossa, Víctor Ponce 2020-10-30T09:44:31Z 置信度 0.70
• A Spike-Based Neuromorphic Architecture of Stereo Vision
  The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems. As temporal information is a crucial feature in this process, the advent of even…
  crossref Nicoletta Risi, Alessandro Aimar, Elisa Donati, Sergio Solinas 等 2020-11-13T00:12:05Z 置信度 0.70
• Editorial: Rehabilitation robotics: Challenges in design, control, and real applications
  In the last decade, research focused on rehabilitation robotics has progressed from proposing restricted or rigid solutions in a clinical setting to portable devices compliant with the user and also adapted to the their requirements, based on their disability …
  crossref Francisco Romero-Sánchez, Luciano Luporini Menegaldo, Josep M. Font-Llagunes, Massimo Sartori 2022-07-27T07:18:10Z 置信度 0.70
• Neural Activations Associated With Friction Stimulation on Touch-Screen Devices
  Tactile sensation largely influences human perception, for instance when using a mobile device or a touch screen. Active touch, which involves tactile and proprioceptive sensing under the control of movement, is the dominant tactile exploration mechanism compa…
  crossref Wanjoo Park, Muhammad Hassan Jamil, Mohamad Eid 2019-05-29T04:42:39Z 置信度 0.70
• A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives
  In this article, we propose an architecture of a bio-inspired controller that addresses the problem of learning different locomotion gaits for different robot morphologies. The modeling objective is split into two: baseline motion modeling and dynamics adaptat…
  crossref Cai Li, Robert Lowe, Tom Ziemke 2014-11-07T07:56:33Z 置信度 0.70
• RFG-TVIU: robust factor graph for tightly coupled vision/IMU/UWB integration
  High precision navigation and positioning technology, as a fundamental function, is gradually occupying an indispensable position in the various fields. However, a single sensor cannot meet the navigation requirements in different scenarios. This paper propose…
  crossref Gongjun Fan, Qing Wang, Gaochao Yang, Pengfei Liu 2024-04-29T04:35:34Z 置信度 0.70
• SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model
  To realize human-like robot intelligence, a large-scale cognitive architecture is required for robots to understand their environment through a variety of sensors with which they are equipped. In this paper, we propose a novel framework named Serket that enabl…
  crossref Tomoaki Nakamura, Takayuki Nagai, Tadahiro Taniguchi 2018-06-26T04:53:03Z 置信度 0.70
• Performance of Impedance Control-Based Strategies in Power-Assisted Wheelchairs: A Predictive Simulation Study
  Manual wheelchair propulsion is known to be inefficient and causes upper extremity pain, fatigue, and injury. Power-assisted wheelchairs can mitigate these effects through motors that reduce users' effort and load during propulsion. Among the different control…
  crossref Vinicius Ishimoto Cuerva, Marko Ackermann, Fabrizio Leonardi 2022-03-04T04:45:01Z 置信度 0.70
• Posture-invariant myoelectric control with self-calibrating random forests
  Introduction Myoelectric control systems translate different patterns of electromyographic (EMG) signals into the control commands of diverse human-machine interfaces via hand gesture recognition, enabling intuitive control of prosthesis and immersive interact…
  crossref Xinyu Jiang, Chenfei Ma, Kianoush Nazarpour 2024-12-04T06:48:00Z 置信度 0.70
• Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures
  Ergonomics of human workers is one of the key elements in design and evaluation of production processes. Human ergonomics have a major impact on productivity as well as chronic health risks incurred by inappropriate working postures and conditions. In this pap…
  crossref Luka Peternel, Daniel Tofte Schøn, Cheng Fang 2021-01-08T04:43:07Z 置信度 0.70
• Toward More Robust Hand Gesture Recognition on EIT Data
  Striving for more robust and natural control of multi-fingered hand prostheses, we are studying electrical impedance tomography (EIT) as a method to monitor residual muscle activations. Previous work has shown promising results for hand gesture recognition, bu…
  crossref David P. Leins, Christian Gibas, Rainer Brück, Robert Haschke 2021-08-11T07:23:48Z 置信度 0.70
• Flexible control and trajectory planning of medical two-arm surgical robot
  This paper introduces the flexible control and trajectory planning medical two-arm surgical robots, and employs effective collision detection methods to ensure the safety and precision during tasks. Firstly, the DH method is employed to establish relative rota…
  crossref Yanchun Xie, Xue Zhao, Yang Jiang, Yao Wu 等 2024-09-02T09:14:40Z 置信度 0.70
• Effects of emotional valence and arousal on acoustic duration reproduction assessed via the “dual klepsydra model”
  We report results of an acoustic duration reproduction task with stimulus duration of 2, 4, and 6 s, using 45 emotionally negative, positive, and neutral sounds from the International Affective Digitized Sounds System, in a sample of 31 young healthy participa…
  crossref Jiří Wackermann, Karin Meissner, Dharol Tankersley, Marc Wittmann 2014-02-28T07:41:58Z 置信度 0.70
• Commentary: Proceedings of the First Workshop on Peripheral Machine Interfaces: Going beyond Traditional Surface Electromyography
  GENERAL COMMENTARY article Front. Neurorobot., 05 July 2017 Volume 11 - 2017 | https://doi.org/10.3389/fnbot.2017.00032
  crossref Philipp Beckerle 2017-07-05T07:30:29Z 置信度 0.70
• Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics
  EDITORIAL article Front. Neurorobot., 22 October 2019 | https://doi.org/10.3389/fnbot.2019.00083
  crossref Tadahiro Taniguchi, Emre Ugur, Tetsuya Ogata, Takayuki Nagai 等 2019-10-22T08:02:46Z 置信度 0.70
• Parking Slot Detection on Around-View Images Using DCNN
  Due to the complex visual environment and incomplete display of parking slots on around-view images, vision-based parking slot detection is a major challenge. Previous studies in this field mostly use the existing models to solve the problem, the steps of whic…
  crossref Wei Li, Hu Cao, Jiacai Liao, Jiahao Xia 等 2020-07-24T16:07:35Z 置信度 0.70
• Dynamic Task Allocation in Multi-Robot System Based on a Team Competition Model
  In recent years, it is a trend to integrate the ideas in game theory into the research of multi-robot system. In this paper, a team-competition model is proposed to solve a dynamic multi-robot task allocation problem. The allocation problem asks how to assign …
  crossref Kai Jin, Pingzhong Tang, Shiteng Chen, Jianqing Peng 2021-05-20T06:28:26Z 置信度 0.70
• End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture
  To enhance the obstacle avoidance performance and autonomous decision-making capabilities of robots in complex dynamic environments, this paper proposes an end-to-end intelligent obstacle avoidance method that integrates deep reinforcement learning, spatiotemp…
  crossref Yuwen Zhou, Weizhong Zhang 2025-10-08T05:40:44Z 置信度 0.70
• Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks
  The objective of this study is to develop a method for alleviating a novel pattern interference toward achieving a robust myoelectric pattern-recognition control system. To this end, a framework was presented for surface electromyogram (sEMG) pattern classific…
  crossref Le Wu, Xun Chen, Xiang Chen, Xu Zhang 2022-03-30T02:09:42Z 置信度 0.70
• A lightweight multi-dimension dynamic convolutional network for real-time semantic segmentation
  Semantic segmentation can address the perceived needs of autonomous driving and micro-robots and is one of the challenging tasks in computer vision. From the application point of view, the difficulty faced by semantic segmentation is how to satisfy inference s…
  pubmed Chunyu Zhang, Fang Xu, Chengdong Wu, Chenglong Xu 等 2022 置信度 0.82
• Morphological Properties of Mass–Spring Networks for Optimal Locomotion Learning
  Robots have proven very useful in automating industrial processes. Their rigid components and powerful actuators, however, render them unsafe or unfit to work in normal human environments such as schools or hospitals. Robots made of compliant, softer materials…
  crossref Gabriel Urbain, Jonas Degrave, Benonie Carette, Joni Dambre 等 2017-03-26T23:47:21Z 置信度 0.70
• A Novel DenseNet Generative Adversarial Network for Heterogenous Low-Light Image Enhancement
  With the development of computer vision, high quality images with rich information have great research potential in both daily life and scientific research. However, due to different lighting conditions, surrounding noise and other reasons, the image quality i…
  crossref Jingsi Zhang, Chengdong Wu, Xiaosheng Yu, Xiaoliang Lei 2021-06-30T07:34:04Z 置信度 0.70
• Distributed model-free formation control of networked fully-actuated autonomous surface vehicles
  This paper presents a distributed constant bearing guidance and model-free disturbance rejection control method for formation tracking of autonomous surface vehicles subject to fully unknown kinetic model. First, a distributed constant bearing guidance law is …
  crossref Xiaobing Niu, Shengnan Gao, Zhibin Xu, Shiliang Feng 2022-09-29T15:03:37Z 置信度 0.70
• Designing Physical Human-Robot Interaction Interfaces: A Scalable Method for Simulation Based Design
  Designing the physical coupling between the human body and the wearable robot is a challenging endeavor. The typical approach of tightening the wearable robot against the body, and softening the interface materials does not work well. It makes the task of simu…
  crossref Rohit John Varghese, Gaurav Mukherjee, Ashish Deshpande 2022-02-18T12:40:48Z 置信度 0.70
• A Developmental Learning Approach of Mobile Manipulator via Playing
  Inspired by infant development theories, a robotic developmental model combined with game elements is proposed in this paper. This model does not require the definition of specific developmental goals for the robot, but the developmental goals are implied in t…
  crossref Ruiqi Wu, Changle Zhou, Fei Chao, Zuyuan Zhu 等 2017-10-04T00:15:38Z 置信度 0.70
• Editorial: Advances in Musculoskeletal Modeling and Their Application to Neurorehabilitation
  EDITORIAL article Front. Neurorobot., 09 October 2020 | https://doi.org/10.3389/fnbot.2020.00065
  crossref Mohammad S. Shourijeh, Naser Mehrabi, John J. McPhee, Benjamin J. Fregly 2020-10-14T06:55:17Z 置信度 0.70
• Learning generalizable behaviors from demonstration
  Generalizing prior experiences to complete new tasks is a challenging and unsolved problem in robotics. In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control ( PICO ). The approach combines ideas from …
  crossref Corban Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley 等 2022-10-03T05:58:19Z 置信度 0.70
• A Cooperative Shared Control Scheme Based on Intention Recognition for Flexible Assembly Manufacturing
  Human–robot collaboration (HRC) has been widely utilized in industrial manufacturing and requires a human to cooperate with a robot at the same workspace. However, as HRC focuses on workspace sharing along with independent work, it is not a real collaboration …
  crossref Guangbing Zhou, Jing Luo, Shugong Xu, Shunqing Zhang 2022-03-16T11:32:10Z 置信度 0.70
• Robotic Exoskeleton Gait Training in Stroke: An Electromyography-Based Evaluation
  The recovery of symmetric and efficient walking is one of the key goals of a rehabilitation program in patients with stroke. The use of overground exoskeletons alongside conventional gait training might help foster rhythmic muscle activation in the gait cycle …
  crossref Valeria Longatelli, Alessandra Pedrocchi, Eleonora Guanziroli, Franco Molteni 等 2021-12-01T09:05:44Z 置信度 0.70
• Application of convolutional neural network in fusion and classification of multi-source remote sensing data
  Introduction Through remote sensing images, we can understand and observe the terrain, and its application scope is relatively large, such as agriculture, military, etc. Methods In order to achieve more accurate and efficient multi-source remote sensing data f…
  pubmed Fanghong Ye, Zheng Zhou, Yue Wu, Bayarmaa Enkhtur 等 2022 置信度 0.82
• ModuCLIP: multi-scale CLIP framework for predicting foundation pit deformation in multi-modal robotic systems
  Introduction Foundation pit deformation prediction is a critical aspect of underground engineering safety assessment, influencing construction quality and personnel safety. However, due to complex geological conditions and numerous environmental interference f…
  crossref Lin Wenbo, Li Tingting, Li Xiao 2025-04-01T05:26:18Z 置信度 0.70
• A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain
  With the rapid development of artificial intelligence, Cybernetics, and other High-tech subject technology, robots have been made and used in increasing fields. And studies on robots have attracted growing research interests from different communities. The kno…
  crossref Yichen Song, Aiping Li, Hongkui Tu, Kai Chen 等 2021-05-11T05:50:03Z 置信度 0.70
• The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing
  This paper develops a digital watermarking algorithm using an informed watermark retrieval architecture. The developed method uses the fractional Fourier transform to embed the watermark in the space-frequency domain and extracts the watermark using blind sour…
  pubmed Rani Kumari, Abhijit Mustafi, Kumari R, Mustafi A 2022 置信度 0.82
• Control of Newly-Designed Wearable Robotic Hand Exoskeleton Based on Surface Electromyographic Signals
  The human hand plays a role in a variety of daily activities. This intricate instrument is vulnerable to trauma or neuromuscular disorders. Wearable robotic exoskeletons are an advanced technology with the potential to remarkably promote the recovery of hand f…
  crossref Ke Li, Zhengzhen Li, Haibin Zeng, Na Wei 2021-09-15T15:31:19Z 置信度 0.70
• Mind the matter: Active matter, soft robotics, and the making of bio-inspired artificial intelligence
  Philosophical and theoretical debates on the multiple realisability of the cognitive have historically influenced discussions of the possible systems capable of instantiating complex functions like memory, learning, goal-directedness, and decision-making. Thes…
  pubmed David Harrison, Wiktor Rorot, Urte Laukaityte, Harrison D 等 2022 置信度 0.82
• A dynamic integrated scheduling method based on hierarchical planning for heterogeneous AGV fleets in warehouses
  In modern industrial warehouses, heterogeneous and flexible fleets of automated guided vehicles (AGVs) are widely used to improve transport efficiency. However, as their scale and limit of battery capacity increase, the complexity of dynamic scheduling also in…
  pubmed Enze Hu, Jianjun He, Shuai Shen, Hu E 等 2022 置信度 0.82
• Editorial: Recent advances in artificial neural networks and embedded systems for multi-source image fusion
  Editorial: Recent advances in artificial neural networks and embedded systems for multi-source image fusion
  crossref Xin Jin, Jingyu Hou, Shin-Jye Lee, Dongming Zhou 2022-08-03T05:27:12Z 置信度 0.70
• Continuous Multi-DoF Wrist Kinematics Estimation Based on a Human–Machine Interface With Electrical-Impedance-Tomography
  This study proposed a multiple degree-of-freedom (DoF) continuous wrist angle estimation approach based on an electrical impedance tomography (EIT) interface. The interface can inspect the spatial information of deep muscles with a soft elastic fabric sensing …
  crossref Enhao Zheng, Jingzhi Zhang, Qining Wang, Hong Qiao 2021-10-01T05:13:22Z 置信度 0.70
• Editorial: Human-Like Advances in Robotics: Motion, Actuation, Sensing, Cognition and Control
  EDITORIAL article Front. Neurorobot., 16 October 2019 | https://doi.org/10.3389/fnbot.2019.00085
  crossref Kosta Jovanović, Tadej Petrič, Toshiaki Tsuji, Calogero Maria Oddo 2019-10-16T00:40:17Z 置信度 0.70
• I-BaR: integrated balance rehabilitation framework
  Neurological diseases are observed in approximately 1 billion people worldwide. A further increase is foreseen at the global level as a result of population growth and aging. Individuals with neurological disorders often experience cognitive, motor, sensory, a…
  crossref Tugce Ersoy, Pınar Kaya, Elif Hocaoglu, Ramazan Unal 2024-07-03T05:34:28Z 置信度 0.70
• An Intuitive End-to-End Human-UAV Interaction System for Field Exploration
  This paper presents an intuitive end-to-end interaction system between a human and a hexacopter Unmanned Aerial Vehicle (UAV) for field exploration in which the UAV can be commanded by natural human poses. Moreover, LEDs installed on the UAV are used to commun…
  crossref Ran Jiao, Zhaowei Wang, Ruihang Chu, Mingjie Dong 等 2020-02-14T05:19:27Z 置信度 0.70
• Hybrid FES-exoskeleton control: Using MPC to distribute actuation for elbow and wrist movements
  Introduction Individuals who have suffered a cervical spinal cord injury prioritize the recovery of upper limb function for completing activities of daily living. Hybrid FES-exoskeleton systems have the potential to assist this population by providing a portab…
  pubmed Nathan Dunkelberger, Jeffrey Berning, Eric M. Schearer, Marcia K. O'Malley 等 2023 置信度 0.82
• An advanced bionic knee joint mechanism with neural network controller
  In this article, a tensegrity-based knee mechanism is studied for developing a high-efficiency rehabilitation knee exoskeleton. Moreover, the kinematics and dynamics models of the knee mechanism are explored for bringing about further improvement in controller…
  pubmed Changxian Xu, Zhongbo Sun, Chen Wang, Xiujun Wu 等 2023 置信度 0.82
• Replicating Human Hand Synergies Onto Robotic Hands: A Review on Software and Hardware Strategies
  This review reports the principal solutions proposed in the literature to reduce the complexity of the control and of the design of robotic hands taking inspiration from the organization of the human brain. Several studies in neuroscience concerning the sensor…
  crossref Gionata Salvietti 2018-06-07T12:48:12Z 置信度 0.70
• Editorial: Cross-Modal Learning: Adaptivity, Prediction and Interaction
  EDITORIAL article Front. Neurorobot., 04 April 2022 https://doi.org/10.3389/fnbot.2022.889911
  crossref Jianwei Zhang, Stefan Wermter, Fuchun Sun, Changshui Zhang 等 2022-04-05T13:06:36Z 置信度 0.70
• Cascade contour-enhanced panoptic segmentation for robotic vision perception
  Panoptic segmentation plays a crucial role in enabling robots to comprehend their surroundings, providing fine-grained scene understanding information for robots' intelligent tasks. Although existing methods have made some progress, they are prone to fail in a…
  crossref Yue Xu, Runze Liu, Dongchen Zhu, Lili Chen 等 2024-10-21T05:10:21Z 置信度 0.70
• Robust tracking for functional electrical stimulation cycling with unknown time-varying input delays: A switched systems approach
  Motorized functional electrical stimulation (FES) cycling has been demonstrated to have numerous health benefits for individuals suffering from neurological disorders. FES-cycling is usually designed to track the desired trajectories in real time. However, the…
  pubmed Xianfang Tong, Yanzheng Zhu, Tong X, Zhu Y 2022 置信度 0.82
• ISFM-SLAM: dynamic visual SLAM with instance segmentation and feature matching
  Introduction Simultaneous Localization and Mapping (SLAM) is a technology used in intelligent systems such as robots and autonomous vehicles. Visual SLAM has become a more popular type of SLAM due to its acceptable cost and good scalability when applied in rob…
  crossref Chao Li, Yang Hu, Jianqiang Liu, Jianhai Jin 等 2024-11-20T10:10:01Z 置信度 0.70
• Underwater Localization and Mapping Based on Multi-Beam Forward Looking Sonar
  SLAM (Simultaneous Localization And Mapping) plays a vital role in navigation tasks of AUV (Autonomous Underwater Vehicle). However, due to a vast amount of image sonar data and some acoustic equipment's inherent high latency, it is a considerable challenge to…
  crossref Chensheng Cheng, Can Wang, Dianyu Yang, Weidong Liu 等 2022-01-07T07:06:33Z 置信度 0.70
• Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition
  Significant strides have been made in emotion recognition from Electroencephalography (EEG) signals. However, effectively modeling the diverse spatial, spectral, and temporal features of multi-channel brain signals remains a challenge. This paper proposes a no…
  crossref Jiyao Liu, Lang He, Haifeng Chen, Dongmei Jiang 2025-01-07T03:03:33Z 置信度 0.70
• Using Long Short-Term Memory for Building Outdoor Agricultural Machinery
  Today, climate change has caused a decrease in agricultural output or overall yields that are not as expected; however, with the ongoing population explosion, many undeveloped countries have transformed into emerging countries and have transformed farmland to …
  crossref Chien-Hung Wu, Chun-Yi Lu, Jun-We Zhan, Hsin-Te Wu 2020-05-29T05:12:04Z 置信度 0.70
• UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis
  Indoor location information is an indispensable parameter for modern intelligent warehouse management and robot navigation. Indoor wireless positioning exhibits large errors due to factors such as indoor non-line-of-sight (NLOS) obstructions. In the present st…
  crossref Hua Guo, Mengqi Li, Xuejing Zhang, Xiaotian Gao 等 2022-07-26T08:40:25Z 置信度 0.70
• A Relation-Oriented Model With Global Context Information for Joint Extraction of Overlapping Relations and Entities
  The entity relation extraction in the form of triples from unstructured text is a key step for self-learning knowledge graph construction. Two main methods have been proposed to extract relation triples, namely, the pipeline method and the joint learning appro…
  crossref Huihui Han, Jian Wang, Xiaowen Wang 2022-07-04T18:58:45Z 置信度 0.70
• A novel activation function based recurrent neural networks and their applications on sentiment classification and dynamic problems solving
  In this paper, a nonlinear activation function (NAF) is proposed to constructed three recurrent neural network (RNN) models (Simple RNN (SRNN) model, Long Short-term Memory (LSTM) model and Gated Recurrent Unit (GRU) model) for sentiment classification. The In…
  crossref Qingyi Zhu, Mingtao Tan 2022-09-23T13:38:15Z 置信度 0.70
• Brain-Inspired Coding of Robot Body Schema Through Visuo-Motor Integration of Touched Events
  Representing objects in space is difficult because sensorimotor events are anchored in different reference frames, which can be either eye-, arm-, or target-centered. In the brain, Gain-Field (GF) neurons in the parietal cortex are involved in computing the ne…
  crossref Ganna Pugach, Alexandre Pitti, Olga Tolochko, Philippe Gaussier 2019-03-07T04:34:55Z 置信度 0.70
• Social Cognition for Human-Robot Symbiosis—Challenges and Building Blocks
  The next generation of robot companions or robot working partners will need to satisfy social requirements somehow similar to the famous laws of robotics envisaged by Isaac Asimov time ago (Asimov, 1942). The necessary technology has almost reached the require…
  crossref Giulio Sandini, Vishwanathan Mohan, Alessandra Sciutti, Pietro Morasso 2018-07-11T14:11:31Z 置信度 0.70
• Editorial: AI taking actions in the physical world - Strategies for establishing trust and reliability
  pubmed Sirko Straube, Ryuji Yamazaki-Skov, Raul Hakli, Straube S 等 2023 置信度 0.82
• Neurorobotics: A Holy Grail to Practice Reality Continuum
  openalex Michael L.J. Apuzzo 2014-05-01 置信度 0.72 AntimycobacterialMoietyMedicineMycobacterium tuberculosisStereochemistry
• Dual exploration strategies using artificial spiking neural networks in a robotic learning task
  Spatial information can be valuable, but new environments may be perceived as risky and thus often evoke fear responses and risk-averse exploration strategies such as thigmotaxis or wall-following behavior. Individual differences in risk-taking (boldness) and …
  openalex André Cyr, Julie Morand‐Ferron, Frédéric Thériault 2020-06-17 置信度 0.72 ThigmotaxisContext (archaeology)Artificial intelligenceComputer scienceTask (project management)
• Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands
  Natural control methods based on surface electromyography (sEMG) and pattern recognition are promising for hand prosthetics. However, the control robustness offered by scientific research is still not sufficient for many real life applications, and commercial …
  openalex Manfredo Atzori, Matteo Cognolato, Henning Müller 2016-09-07 置信度 0.72 Computer scienceConvolutional neural networkElectromyographyArtificial intelligenceDeep learning
• Learning to reinforcement learn
  In recent years deep reinforcement learning (RL) systems have attained superhuman performance in a number of challenging task domains. However, a major limitation of such applications is their demand for massive amounts of training data. A critical present obj…
  openalex Jane X. Wang, Zeb Kurth‐Nelson, Dhruva Tirumala, Hubert Soyer 等 2016-11-17 置信度 0.72 Reinforcement learningComputer scienceArtificial intelligenceExploitTask (project management)
• The neurons that restore walking after paralysis
  Abstract A spinal cord injury interrupts pathways from the brain and brainstem that project to the lumbar spinal cord, leading to paralysis. Here we show that spatiotemporal epidural electrical stimulation (EES) of the lumbar spinal cord 1–3 applied during neu…
  openalex Claudia Kathe, Michael A. Skinnider, Thomas H. Hutson, Nicola Regazzi 等 2022-11-09 置信度 0.72 Spinal cordSpinal cord injuryLumbar Spinal CordNeuroscienceParalysis
• Virtual Reality and Hybrid Technology for Neurorehabilitations
  openalex Alessandro De Mauro, Aitor Ardanza, Chao Chen, Eduardo Carrasco 等 2011-01-01 置信度 0.72 Virtual realityComputer scienceRehabilitationNeuroprostheticsHuman–computer interaction
• Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics
  Abstract Neuromorphic computing memristors are attractive to construct low-power- consumption electronic textiles due to the intrinsic interwoven architecture and promising applications in wearable electronics. Developing reconfigurable fiber-based memristors …
  openalex Tianyu Wang, Jialin Meng, Xufeng Zhou, Yue Liu 等 2022-12-02 置信度 0.72 Neuromorphic engineeringMemristorElectronicsPower (physics)Computer science
• A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human–Robot Interaction
  As robotic devices are applied to problems beyond traditional manufacturing and industrial settings, we find that interaction between robots and humans, especially physical interaction, has become a fast developing field. Consider the application of robotics i…
  openalex Dylan P. Losey, Craig G. McDonald, Edoardo Battaglia, Marcia K. O’Malley 2018-01-01 置信度 0.72 RobotHuman–robot interactionHuman–computer interactionTask (project management)Computer science
• #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
  Count-based exploration algorithms are known to perform near-optimally when used in conjunction with tabular reinforcement learning (RL) methods for solving small discrete Markov decision processes (MDPs). It is generally thought that count-based methods canno…
  openalex Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke 等 2016-11-15 置信度 0.72 Reinforcement learningComputer scienceHash functionHeuristicsMarkov decision process
• The neurorobotic interface for decoding a skilled hindlimb movement before and after a spinal cord injury
  The long-term goal motivating this research is to design a Neurorobotic Interface that will allow the restoration of lower limb control after a neurologically complete spinal injury. The project's central hypothesis is that populations of single neurons in the…
  openalex Robert Davisson Flint, Karen A. Moxon 2010-06-01 置信度 0.72 Spinal cord injuryMovement (music)Physical medicine and rehabilitationHindlimbDecoding methods
• Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics
  In this review, we give a brief outline of robot-mediated gait training for stroke patients, as an important emerging field in rehabilitation. Technological innovations are allowing rehabilitation to move toward more integrated processes, with improved efficie…
  openalex Giovanni Morone, Stefano Paolucci, Andrea Cherubini, Domenico De Angelis 等 2017-05-01 置信度 0.72 NeurorehabilitationRobotRoboticsRehabilitationExoskeleton
• Robotically Embodied Biological Neural Networks to Investigate Haptic Restoration with Neuroprosthetic Hands
  Neuroprosthetic limbs reconnect severed neural pathways for control of (and increasingly sensation from) an artificial limb. However, the plastic interaction between robotic and biological components is poorly understood. To gain such insight, we developed a n…
  openalex Craig Ades, Moaed A. Abd, E Du, Jianning Wei 等 2022-03-21 置信度 0.72 Haptic technologyEmbodied cognitionNeuroprostheticsComputer scienceNeural engineering
• Autonomy of the Artificial: A NeuroRobotic Approach to Intrinsically Motivated Agents
  Contains fulltext : 332401.pdf (Publisher’s version ) (Closed access)
  openalex O. Guerrero Rosado 2026-01-01 置信度 0.72 AutonomyComputer scienceEpistemologyPsychologyPerspective (graphical)
• Learning to select and generalize striking movements in robot table tennis
  Learning new motor tasks from physical interactions is an important goal for both robotics and machine learning. However, when moving beyond basic skills, most monolithic machine learning approaches fail to scale. For more complex skills, methods that are tail…
  openalex Katharina Mülling, Jens Kober, Oliver Kroemer, Jan Peters 2013-01-30 置信度 0.72 Kinesthetic learningTable (database)RobotArtificial intelligenceComputer science
• I Reach Faster When I See You Look: Gaze Effects in Human–Human and Human–Robot Face-to-Face Cooperation
  Human-human interaction in natural environments relies on a variety of perceptual cues. Humanoid robots are becoming increasingly refined in their sensorimotor capabilities, and thus should now be able to manipulate and exploit these social cues in cooperation…
  openalex Jean-David Boucher, Ugo Pattacini, Amélie Lelong, Gerrard Bailly 等 2012-01-01 置信度 0.72 GazeComputer scienceFace (sociological concept)Human–robot interactionComputer vision
• Massively Parallel Robot Simulations with the HBP Neurorobotics Platform
  openalex Florian Walter, Mahmoud Akl, Fabrice O. Morin, Alois Knoll 置信度 0.72 Massively parallelComputer scienceParallel computingArtificial intelligence
• Brain-Driven Telepresence Robots: A Fusion of User’s Commands with Robot’s Intelligence
  openalex Gloria Beraldo, Luca Tonin, Amedeo Cesta, Emanuele Menegatti 2021-01-01 置信度 0.72 RobotComputer scienceHuman–computer interactionArtificial intelligenceComputer vision
• Coordination of Locomotion with Voluntary Movements in Humans
  Muscle activity occurring during human locomotion can be accounted for by five basic temporal activation patterns in a variety of locomotion conditions. Here, we examined how these activation patterns interact with muscle activity required for a voluntary move…
  openalex Yuri P. Ivanenko, Germana Cappellini, Nadia Dominici, R. E. Poppele 等 2005-08-03 置信度 0.72 NeuroscienceMotor coordinationCommunicationPsychologyPhysical medicine and rehabilitation
• Proceedings of an international symposium on neurorobotics. Summer 2008. Freiburg, Germany.
  openalex 2010-01-06 置信度 0.72 Library scienceHistoryComputer science
• A Humanoid Robot Learning Audiovisual Classification By Active Exploration
  We present a novel neurorobotic setup and dataset for active object exploration and audiovisual classification based on their material properties. In the robotic setup, a humanoid drops an item on a sloped surface and records the video image frames and raw aud…
  openalex Glareh Mir, Matthias Kerzel, Erik Strahl, Stefan Wermter 2021-08-20 置信度 0.72 Computer scienceModality (human–computer interaction)Artificial intelligenceHumanoid robotObject (grammar)
• Using the Neurorobotics Platform to Explain Global Processing in Visual Crowding
  BMI
  openalex Alban Bornet, Alexander Kröner, Jacques Kaiser, Fedor Scholz 等 2019-04-01 置信度 0.72 CrowdingVisual processingComputer scienceCognitive psychologyPsychology
• Computational model of the LGMD neuron for automatic collision detection
  In many animal species it is essential to recognize approach predators from complex, dynamic visual scenes and timely initiate escape behavior. Such sophisticated behaviours are often achieved with low neuronal complexity, such as in locusts, suggesting that e…
  openalex Ana Silva, Cristina P. Santos 2013-02-01 置信度 0.72 Computer scienceArtificial intelligenceProcess (computing)Task (project management)Robot
• SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG
  EEG-based automatic emotion recognition can help brain-inspired robots in improving their interactions with humans. This paper presents a novel framework for emotion recognition using multi-channel electroencephalogram (EEG). The framework consists of a linear…
  openalex Xiaofen Xing, Zhiyang Li, Tianyuan Xu, Lin Shu 等 2019-06-12 置信度 0.72 ElectroencephalographyComputer scienceAutoencoderArtificial intelligenceEmotion recognition
• Development of compositional and contextual communication of robots by using the multiple timescales dynamic neural network
  The current paper introduces neurorobotics experiment on acquisition of complex communicative skills with human via learning. A dynamic neural network model which is characterized by its multiple timescale dynamics characteristics was utilized as a neuronal mo…
  openalex Gibeom Park, Jun Tani 2015-08-01 置信度 0.72 Computer scienceTask (project management)GeneralizationHumanoid robotProperty (philosophy)
• Connecting Neurons to a Mobile Robot: An In Vitro Bidirectional Neural Interface
  One of the key properties of intelligent behaviors is the capability to learn and adapt to changing environmental conditions. These features are the result of the continuous and intense interaction of the brain with the external world, mediated by the body. Fo…
  openalex Antonio Novellino, Paolo D’Angelo, Luca Cozzi, Michela Chiappalone 等 2007-01-01 置信度 0.72 Computer scienceNoveltyDecoding methodsCoding (social sciences)Scalability
• Decoding the spatio-temporal localization of behavioral events in populations of neurons
  A method for decoding the spatio-temporal localization of behavioral events using the activity recorded from populations of neurons in-vivo is presented. The method is broken down into two parts: decoding temporal localization and decoding spatial localization…
  openalex Guglielmo Foffani, Karen A. Moxon 2003-12-22 置信度 0.72 Decoding methodsComputer scienceComputer visionArtificial intelligenceTreadmill
• Wreath Product 3D Analysis and Movement Affordances: A Neurorobotic Approach
  Symmetry-based wreath products have been proposed as a cognitive representation combining actuation and perception as derived from sensorimotor streams. Previous work has described how 2D wreath product shape analysis may be expressed in an appropriate neural …
  openalex Thomas C. Henderson, Taylor Welker, David Sacharny 2019-09-01 置信度 0.72 AffordanceComputer scienceMovement (music)Product (mathematics)Wreath product
• A feature agnostic approach for glaucoma detection in OCT volumes
  Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma. Previous…
  openalex Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein 等 2019-07-01 置信度 0.72 GlaucomaOptical coherence tomographyArtificial intelligenceConvolutional neural networkDeep learning
• Neurorobotic and hybrid approaches for gait rehabilitation in spinal cord injury
  openalex Antonio J. del‐Ama, Juan C. Moreno, Ángel Gil-Agudo, José L. Pons 2012-11-01 置信度 0.72 Physical medicine and rehabilitationSpinal cord injuryRehabilitationGaitMedicine
• Robby: A Neurorobotics Control Framework Using Spiking Neural Networks
  The variety of neural models and robotic hardware has made simulation writing time-consuming and error prone, forcing thus scientists to spend a substantial amount of time on the implementation of their models. We developed a framework called "Robby" that allo…
  openalex Cătălin V. Rusu, Tiberiu Ban, Horea Adrian Greblă 2017-12-15 置信度 0.72 Artificial neural networkComputer scienceSpiking neural networkSimple (philosophy)Variety (cybernetics)
• Active Inference, Curiosity and Insight
  This article offers a formal account of curiosity and insight in terms of active (Bayesian) inference. It deals with the dual problem of inferring states of the world and learning its statistical structure. In contrast to current trends in machine learning (e.…
  openalex Karl Friston, Marco Lin, Chris Frith, Giovanni Pezzulo 等 2017-08-04 置信度 0.72 InferenceArtificial intelligenceCuriosityComputer scienceFree energy principle
• Forming a sparse representation for visual place recognition using a neurorobotic approach
  This paper introduces a novel unsupervised neural network model for visual information encoding which aims to address the problem of large-scale visual localization. Inspired by the structure of the visual cortex, the model (namely HSD) alternates layers of to…
  openalex Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Olivier Romain 2021-09-19 置信度 0.72 Computer scienceRepresentation (politics)Sparse approximationArtificial intelligencePattern recognition (psychology)
• Multi-agent deep reinforcement learning: a survey
  Abstract The advances in reinforcement learning have recorded sublime success in various domains. Although the multi-agent domain has been overshadowed by its single-agent counterpart during this progress, multi-agent reinforcement learning gains rapid tractio…
  openalex Sven Gronauer, Klaus Diepold 2021-04-15 置信度 0.72 Reinforcement learningComputer scienceReinforcementDomain (mathematical analysis)Artificial intelligence
• Neurorobotic insights into locomotor control, turning, and recovery after thoracic spinal cord injury
  Locomotion is produced by the coordination of neural circuits, sensory feedback, and musculoskeletal system, requiring integrated models to uncover how these components interact to generate adaptive movement, steering, and recovery after spinal cord injury. He…
  openalex Andrew B. Lockhart, Kimberly J. Dougherty, Simon M. Danner 2026-07-01 置信度 0.72 Spinal cord injurySpinal cordSensory systemCentral pattern generatorNeuroscience
• Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
  Studies suggest that within the hierarchical architecture, the topological higher level possibly represents a conscious category of the current sensory events with slower changing activities. They attempt to predict the activities on the lower level by relayin…
  openalex Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi 2018-04-17 置信度 0.72 Predictive codingTerm (time)ModalComputer scienceCoding (social sciences)
• In Search for the Neural Mechanisms of Individual Development: Behavior-Driven Differential Hebbian Learning
  When Donald Hebb published his 1949 book ``The Organization of Behavior'' he opened a new way of thinking in theoretical neuroscience which, in retrospective, is very close to contemporary ideas in self-organization. His metaphor of ``wiring'' together what ``…
  openalex Ralf Der 2016-01-13 置信度 0.72 Hebbian theoryComputer scienceArtificial intelligenceChainingMechanism (biology)
• Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
  The state of an object reflects its current status or condition and is important for a robot's task planning and manipulation. However, detecting an object's state and generating a state-sensitive plan for robots is challenging. Recently, pre-trained Large Lan…
  openalex Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu 等 2024-06-14 置信度 0.72 Task (project management)Computer scienceObject (grammar)State (computer science)Artificial intelligence
• Body Space in Social Interactions: A Comparison of Reaching and Comfort Distance in Immersive Virtual Reality
  BACKGROUND: Do peripersonal space for acting on objects and interpersonal space for interacting with con-specifics share common mechanisms and reflect the social valence of stimuli? To answer this question, we investigated whether these spaces refer to a simil…
  openalex Tina Iachini, Yann Coello, Francesca Frassinetti, Gennaro Ruggiero 2014-11-18 置信度 0.72 Embodied cognitionValence (chemistry)Interpersonal communicationPsychologySpace (punctuation)
• Use of tactile feedback to control exploratory movements to characterize object compliance
  Humans have been shown to be good at using active touch to perceive subtle differences in compliance. They tend to use highly stereotypical exploratory strategies, such as applying normal force to a surface. We developed similar exploratory and perceptual algo…
  openalex Zhe Su, Jeremy A. Fishel, Tomonori YAMAMOTO, Gerald E. Loeb 等 2012-07-26 置信度 0.72 Tactile sensorComputer scienceComputer visionArtificial intelligenceHaptic technology
• Modeling disinhibition within a layered structure of the LGMD neuron
  Due to their relatively simple nervous system, insects are an excellent way through which we can investigate how visual information is acquired and processed in order to trigger specific behaviours, as flight stabilization, flying speed adaptation, collision a…
  openalex Ana Silva, Cristina P. Santos 2013-08-01 置信度 0.72 Collision avoidanceComputer scienceArtificial intelligenceFilter (signal processing)Computer vision
• Cognitive and motor compliance in intentional human-robot interaction
  Embodiment and subjective experience in humanrobot interaction are important aspects to consider when studying both natural cognition and adaptive robotics to human environments. Although several researches have focused on nonverbal communication and collabora…
  openalex Hendry Ferreira Chame, Jun Tani 2020-05-01 置信度 0.72 CognitionHumanoid robotCompliance (psychology)IntentionalityPsychology
• Neurally-inspired robotic controllers implemented on neuromorphic hardware
  Neurorobotics aims to use models of biological neural systems to design efficient and adaptive robotic controllers.For complex, perception-driven behaviors, such neuronal controllers require substantial computational time and resources when simulated in softwa…
  openalex Moritz B. Milde, Dora Sumislawska, Yulia Sandamirskaya, Giaocomo Indiveri 2016-10-22 置信度 0.72 Neuromorphic engineeringComputer scienceComputer hardwareArtificial intelligenceRobotics