-
As a leading cause of loss of functional movement, stroke often makes it difficult for patients to walk. Interventions to aid motor recovery in stroke patients should be carried out as a matter of urgency. However, muscle activity in the knee is usually too we…
datacite
Lyu, Mingxing, Chen, Wei-Hai, Ding, Xilun, Wang, Jianhua 等
2019
置信度 0.66
electromyography (EMG)game contexthome rehabilitationhuman-computer interactionKalman filter
-
Lower limb exoskeletons require the correct support magnitude and timing to achieve user assistance. This study evaluated whether the sign of the angular velocity of lower limb segments can be used to determine the timing of the stance and the swing phase duri…
datacite
Grimmer, Martin, Schmidt, Kai, Duarte, Jaime E., Neuner, Lukas 等
2019
置信度 0.66
walkingstanceswinginertial measurement unitgait phase
-
The size, weight, and power consumption of soft wearable robots rapidly scale with their number of active degrees of freedom. While various underactuation strategies have been proposed, most of them impose hard constrains on the kinetics and kinematics of the …
datacite
Xiloyannis, Michele, Annese, Eugenio, Canesi, Marco, Kodiyan, Anil 等
2019
置信度 0.66
soft exosuitunderactuationassistive robotsunidrivesoft robotics
-
Neuromorphic vision sensors are bio-inspired cameras that naturally capture the dynamics of a scene with ultra-low latency, filtering out redundant information with low power consumption. Few works are addressing the object detection with this sensor. In this …
datacite
Chen, Guang, Cao, Hu, Ye, Canbo, Zhang, Zhenyan 等
2019
置信度 0.66
neuromorphic vision sensorevent-stream encodingobject detectionconvolutional neural networkmulti-Cue event information fusion
-
Neuromorphic Very Large Scale Integration (VLSI) devices emulate the activation dynamics of biological neuronal networks using either mixed-signal analog/digital or purely digital electronic circuits. Using analog circuits in silicon to physically emulate the …
datacite
Kreiser, Raphaela, Aathmani, Dora, Qiao, Ning, Indiveri, Giacomo 等
2018
置信度 0.66
neuromorphic engineeringon-chip learningsequence learningdynamic neural fieldssynaptic plasticity
-
The present review focuses on the flow and interaction of somatosensory-motor signals in the central and peripheral nervous system. Specifically, where incoming sensory signals from the periphery are processed and interpreted to initiate behaviors, and how ong…
datacite
Ackerley, Rochelle, Borich, Michael, Oddo, Calogero M., Ionta, Silvio
2016
置信度 0.66
Biocomputational modelingBrain imagingBiomedical engineeringMechatronic tactile stimulatorsArtificial touch
-
Muscle weakness—which can result from neurological injuries, genetic disorders, or typical aging—can affect a person's mobility and quality of life. For many people with muscle weakness, assistive devices provide the means to regain mobility and independence. …
datacite
Schmidt, Kai, Duarte, Jaime E., Grimmer, Martin, Sancho-Puchades, Alejandro 等
2017
置信度 0.66
MyosuitexomuscleExosuitanti-gravityassistance
-
Neuromorphic hardware emulates dynamics of biological neural networks in electronic circuits offering an alternative to the von Neumann computing architecture that is low-power, inherently parallel, and event-driven. This hardware allows to implement neural-ne…
datacite
Milde, Moritz B., Blum, Hermann, Dietmüller, Alexander, Sumislawska, Dora 等
2017
置信度 0.66
obstacle avoidancedynamic neural fieldsneuromorphic controllerneuroroboticsdynamic vision sensor
-
Neurobiological studies have shown that insects are able to adapt leg movements and posture for obstacle negotiation in changing environments. Moreover, the distance to an obstacle where an insect begins to climb is found to be a major parameter for successful…
datacite
Goldschmidt, Dennis, Wörgötter, Florentin, Manoonpong, Poramate
2014
置信度 0.66
obstacle negotiationautonomous robotsneural controladaptive behaviorassociative learning
-
Data depository for publication.
datacite
Nicolas Hankov, Miroslav Caban, Grégoire Courtine, Joachim von Zitzewitz 等
2024
置信度 0.66
Neurorobotics
-
Data depository for publication.
datacite
Nicolas Hankov, Miroslav Caban, Grégoire Courtine, Joachim von Zitzewitz 等
2024
置信度 0.66
Neurorobotics
-
Frontiers in Neurorobotics, 16
datacite
Valle, Giacomo
2022
置信度 0.66
neuroroboticsneuroprostheticsneuromodulationembodimentneurorehabilitation
-
Wearable robotic upper limb orthoses (ULO) are promising tools to assist or enhance the upper-limb function of their users. While the functionality of these devices has continuously increased, the robust and reliable detection of the user's intention to contro…
datacite
Gantenbein, Jessica, Dittli, Jan, Meyer, Jan Thomas, Gassert, Roger 等
2022
置信度 0.66
Intention detectionwearable roboticsupper limb orthosisUser studieshuman robot interaction
-
As robots become smarter and more ubiquitous, optimizing the power consumption of intelligent compute becomes imperative towards ensuring the sustainability of technological advancements. Neuromorphic computing hardware makes use of biologically inspired neura…
openalex
Amaya, Camilo, Eames, Evan, Palinauskas, Gintautas, Perzylo, Alexander 等
2024
置信度 0.72
Robotics (cs.RO)FOS: Computer and information sciencesNeuromorphic engineeringTask forceLatency (audio)
-
This is EEG dataset collected within the research "Natural image reconstruction from brain waves: a novel visual BCI system with native feedback" https://www.biorxiv.org/content/10.1101/787101v3 Here we propose that observing visual stimuli of 5 different cate…
datacite
Bobe, Anatoly
2019
置信度 0.66
ElectroencephalographyNoninvasive MonitoringBrain-Computer Interface
-
Frontiers in neurorobotics 16, 953968 (2022). doi:10.3389/fnbot.2022.953968
datacite
Valeriani, Davide, Santoro, Francesca, Ienca, Marcello
2022
置信度 0.66
600
-
Dynamic manipulation of flexible objects such as fabric, which is difficult to modelize, is one of the major challenges in robotics. With the development of deep learning, we are beginning to see results in simulations and in some actual robots, but there are …
datacite
Kawaharazuka, Kento, Miki, Akihiro, Bando, Masahiro, Okada, Kei 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
The diversified methodology and expertise of interdisciplinary research teams provide the opportunity to overcome the limited perspectives of individual disciplines. This is particularly true at the interface of Robotics, Neuroscience, and Psychology as the th…
datacite
Wudarczyk, Olga A., Kirtay, Murat, Kuhlen, Anna Katharina, Abdel Rahman, Rasha 等
2021
置信度 0.66
interdisciplinarityhuman-robot interactionsocial roboticscollaborationrobotics
-
Developing accurate hand gesture perception models is critical for various robotic applications, enabling effective communication between humans and machines and directly impacting neurorobotics and interactive robots. Recently, surface electromyography (sEMG)…
datacite
Armanini, Costanza, Alhanai, Tuka, Shamout, Farah E., Atashzar, S. Farokh
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)Signal Processing (eess.SP)FOS: Computer and information sciences
-
This thesis presents novel developmental robotics models of number cognition which take into account the embodied basis of this process. The ability to perceive quantity is undoubtedly crucial for both humans and animals. Nowadays, automation is becoming incre…
datacite
Pecyna, Leszek
2021
置信度 0.66
CountingDevelopmental RoboticsNumerosity JudgmentPointingNeural Network
-
The way our brain works is still an open question, but one thing seems to be clear: biological neural systems are computationally powerful, robust and noisy. Natural nervous system are able to control limbs in different scenarios with high precision. As neural…
datacite
De Azambuja, Ricardo
2018
置信度 0.66
Neural NetworksLiquid State MachinesRoboticsAction LearningSpiking Neural Networks
-
Data depository for publication.
datacite
Nicolas Hankov, Miroslav Caban, Grégoire Courtine, Joachim von Zitzewitz 等
2023
置信度 0.66
Neurorobotics
-
Data depository for publication.
datacite
Hankov, Nicolas, Caban, Miroslav, Courtine, Grégoire, Von Zitzewitz, Joachim 等
2023
置信度 0.66
Neurorobotics
-
Neuromorphic perception systems inspired by biology have tremendous potential in efficiently processing multi-sensory signals from the physical world, but a highly efficient hardware element capable of sensing and encoding multiple physical signals is still la…
datacite
Yuan Rui, Qingxi Duan, Pek Jun Tiw, Ge Li 等
2022
置信度 0.66
Memristive Devices for Neuromorphic ComputingElectrical and Electronic EngineeringFOS: Electrical engineering, electronic engineering, information engineeringEngineeringPhysical Sciences
-
Neuromorphic perception systems inspired by biology have tremendous potential in efficiently processing multi-sensory signals from the physical world, but a highly efficient hardware element capable of sensing and encoding multiple physical signals is still la…
datacite
Yuan Rui, Qingxi Duan, Pek Jun Tiw, Ge Li 等
2022
置信度 0.66
Memristive Devices for Neuromorphic ComputingElectrical and Electronic EngineeringFOS: Electrical engineering, electronic engineering, information engineeringEngineeringPhysical Sciences
-
The human receives and transmits various information from the outside world through different sensory systems. The sensory neurons integrate various sensory inputs into a synthetical perception to monitor complex environments, and this fundamentally determines…
datacite
Qingxi Duan, Teng Zhang, Chang Liu, Yuan Rui 等
2022
置信度 0.66
Memristive Devices for Neuromorphic ComputingElectrical and Electronic EngineeringFOS: Electrical engineering, electronic engineering, information engineeringEngineeringPhysical Sciences
-
The human receives and transmits various information from the outside world through different sensory systems. The sensory neurons integrate various sensory inputs into a synthetical perception to monitor complex environments, and this fundamentally determines…
datacite
Qingxi Duan, Teng Zhang, Chang Liu, Yuan Rui 等
2022
置信度 0.66
Memristive Devices for Neuromorphic ComputingElectrical and Electronic EngineeringFOS: Electrical engineering, electronic engineering, information engineeringEngineeringPhysical Sciences
-
Abstract: Advances in computer vision and deep learning are enabling automated environment recognition systems for robotic leg prostheses and exoskeletons. However, small-scale and private training datasets have impeded the widespread development and diss…
datacite
Laschowski, Brokoslaw, McNally, William, Wong, Alexander, McPhee, John
2024
置信度 0.66
-
This paper provides an overview of current re-search in human-machine collaboration utilizing brain-machine interfaces (BMIs) within the IAS Lab at the University of Padua. BMIs are systems capable of translating human brain patterns into commands for robotic …
datacite
Simonetto, Piero, Tortora, Stefano, Menegatti, Emanuele, Tonin, Luca
2023
置信度 0.66
brain-machine interfacehuman-robot interactionneurorobotics
-
This paper provides an overview of current re-search in human-machine collaboration utilizing brain-machine interfaces (BMIs) within the IAS Lab at the University of Padua. BMIs are systems capable of translating human brain patterns into commands for robotic …
datacite
Simonetto, Piero, Tortora, Stefano, Menegatti, Emanuele, Tonin, Luca
2023
置信度 0.66
brain-machine interfacehuman-robot interactionneurorobotics
-
Fall-related injuries pose a growing concern for the elderly in Western Europe, often leading to a fear of falling that confines many people to their homes, limiting their mobility. Unfortunately, extended periods of immobilization can have adverse effects on …
datacite
Tonin, Luca, Tortora, Stefano, Guastella, Dario, Palmieri, Luca 等
2023
置信度 0.66
smart–walkerhuman-robot interactionintelligent roboticsneurorobotics
-
Fall-related injuries pose a growing concern for the elderly in Western Europe, often leading to a fear of falling that confines many people to their homes, limiting their mobility. Unfortunately, extended periods of immobilization can have adverse effects on …
datacite
Tonin, Luca, Tortora, Stefano, Guastella, Dario, Palmieri, Luca 等
2023
置信度 0.66
smart–walkerhuman-robot interactionintelligent roboticsneurorobotics
-
This thesis comprises three works that utilize emerging semiconductor devices, specifically memristors, to address three key challenges in the era of big data. These advancements have the potential to accelerate data processing and other applications.In Chapte…
datacite
Zhuo, Ye (author)
2023
置信度 0.66
Electrical Engineering (degree program)Doctor of Philosophy (degree)Viterbi School of Engineering (school)
-
Current data-driven robotic controllers have traditionally relied on large datasets to train neural networks from scratch and adjust thousands of parameters, necessitating hundreds of hours of training on powerful GPUs to perform even simple physical tasks in …
datacite
Chakravarthi Raja, Suraj (author)
2025
置信度 0.66
Electrical Engineering (degree program)Doctor of Philosophy (degree)Viterbi School of Engineering (school)
-
Over the past decades, research in cognitive and affective neuroscience has emphasized that emotion is crucial for human intelligence and in fact inseparable from cognition. Concurrently, there has been growing interest in simulating and modeling emotion-relat…
datacite
Belkaid, Marwen, Pessoa, Luiz
2020
置信度 0.66
Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Brain-controlled robots are a promising new type of assistive device for severely impaired persons. Little is however known about how to optimize the interaction of humans and brain-controlled robots. Information about the human’s perceived correctness of robo…
datacite
Welke, Dominik, Behncke, Joos, Hader, Marina, Schirrmeister, Robin Tibor 等
2017
置信度 0.66
human-robot interactionautonomous robotsbrain-computer interfaces (BCI)brain-machine interfaces (BMI)neurorobotics
-
Surface electromyography (sEMG) and high-density sEMG (HD-sEMG) biosignals have been extensively investigated for myoelectric control of prosthetic devices, neurorobotics, and more recently human-computer interfaces because of their capability for hand gesture…
datacite
Hu, Qin, Azar, Golara Ahmadi, Fletcher, Alyson, Rangan, Sundeep 等
2023
置信度 0.66
Human-Computer Interaction (cs.HC)Robotics (cs.RO)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Doctoral researchers’ wellbeing is predicted by a number of factors; according to the systematic literature review by Jackman et al. (2022), the crucial role is played by researchers’ perception of supervision. The importance of supervision was discussed in li…
datacite
Lezhnina, Olga, Kismihók, Gábor
2023
置信度 0.66
-
Doctoral researchers’ wellbeing is predicted by a number of factors; according to the systematic literature review by Jackman et al. (2022), the crucial role is played by researchers’ perception of supervision. The importance of supervision was discussed in li…
datacite
Lezhnina, Olga, Kismihók, Gábor
2023
置信度 0.66
-
Abstract The directions of changes in ergonomics, which accompany the inclusion of artificial intelligence in the "human-machine" system, are considered. The problems of "weak" and "strong" artificial intelligence in ergonomics are presented.
datacite
Dziatkovskii, A.
2023
置信度 0.66
ergonomics, artificial intelligence, Zero-knowledge proof, problems
-
Abstract The directions of changes in ergonomics, which accompany the inclusion of artificial intelligence in the "human-machine" system, are considered. The problems of "weak" and "strong" artificial intelligence in ergonomics are presented.
datacite
Dziatkovskii, A.
2023
置信度 0.66
ergonomics, artificial intelligence, Zero-knowledge proof, problems
-
Use the Neurorobotics Platform (NRP) developed in the HBP to connect spiking neural networks to virtual and real robots. This enables you to conduct embodiment experiments on our High Performance Computing (HPC) clusters. All this can be either done through an…
datacite
Albanese, Ugo, Sharma, Kenny, Feldotto, Benedikt, Akl, Mahmoud 等
2019
置信度 0.66
neuroroboticsspiking neural networksartificial intelligenceroboticsneuroscience
-
Use the Neurorobotics Platform (NRP) developed in the HBP to connect spiking neural networks to virtual and real robots. This enables you to conduct embodiment experiments on our High Performance Computing (HPC) clusters. All this can be either done through an…
datacite
Albanese, Ugo, Sharma, Kenny, Feldotto, Benedikt, Mahmud, Hossain 等
2017
置信度 0.66
neuroroboticsspiking neural networksartificial intelligenceroboticsneuroscience
-
Use the Neurorobotics Platform (NRP) developed in the HBP to connect spiking neural networks to virtual and real robots. This enables you to conduct embodiment experiments on our High Performance Computing (HPC) clusters. All this can be either done through an…
datacite
Albanese, Ugo, Sharma, Kenny, Feldotto, Benedikt, Akl, Mahmoud 等
2018
置信度 0.66
neuroroboticsspiking neural networksartificial intelligenceroboticsneuroscience
-
Use the Neurorobotics Platform (NRP) developed in the HBP to connect spiking neural networks to virtual and real robots. This enables you to conduct embodiment experiments on our High Performance Computing (HPC) clusters. All this can be either done through an…
datacite
Albanese, Ugo, Sharma, Kenny, Feldotto, Benedikt, Akl, Mahmoud 等
2018
置信度 0.66
neuroroboticsspiking neural networksartificial intelligenceroboticsneuroscience
-
The code include a parallel signal feature extraction algorithm that can extract widely used features (such as the ones released by <a href="http://www.sce.carleton.ca/faculty/chan/index.php?page=matlab">A.D.C. Chan</a>) and allow researchers to ea…
datacite
Atzori Manfredo
2019
置信度 0.66
matlabsignal feature extraction
-
The code include a parallel signal feature extraction algorithm that can extract widely used features (such as the ones released by <a href="http://www.sce.carleton.ca/faculty/chan/index.php?page=matlab">A.D.C. Chan</a>) and allow researchers to ea…
datacite
Atzori Manfredo
2019
置信度 0.66
matlabsignal feature extraction
-
Code and data associated with the following publications: Velychko, D., Knopp, B. and Endres D. (2017). The coupled variational Gaussian process dynamical model. In Proceedings of the 27 International Conference on Artificial Neural Networks ,pages 1–9. Velych…
datacite
Velychko, Dmytro, Knopp, Benjamin, Endres, Dominik
2017
置信度 0.66
Gaussian ProcessesVariational MethodsMovement PrimitivesModularity
-
Code and data associated with the following publication: Velychko, D., Knopp, B. and Endres D. (2016). The variational coupled Gaussian process dynamical model (Abstract). NIPS Workshop on Neurorobotics . The zip file contains training data ('walking_movement.…
datacite
Velychko, Dmytro, Knopp, Benjamin, Endres, Dominik
2017
置信度 0.66
Gaussian ProcessesVariational MethodsMovement PrimitivesModularity
-
This thesis presents novel developmental robotics models of number cognition which take into account the embodied basis of this process. The ability to perceive quantity is undoubtedly crucial for both humans and animals. Nowadays, automation is becoming incre…
datacite
Pecyna, Leszek
2021
置信度 0.66
CountingDevelopmental RoboticsNumerosity JudgmentPointingNeural Network
-
Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is the ultimate achievement envisioned in cognitive and developmental robotics. Their learning processes should be based on interactions with …
openalex
Taniguchi, Tadahiro, Murata, Shingo, Suzuki, Masahiro, Ognibene, Dimitri 等
2023
置信度 0.72
Robotics (cs.RO)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesArtificial intelligence
-
Abstract There has been an accelerated surge to utilize the deep neural network for decoding central and peripheral activations of the human’s nervous system to boost up the spatiotemporal resolution of neural interfaces used in neurorobotics. Such algorithmic…
preprints
Eion Tyacke, Shreyas P. J. Reddy, Natalie Feng, Rama Edlabadkar 等
2022
置信度 0.74
Computer scienceArtificial neural networkArtificial intelligenceTransfer of learningTransient (computer programming)
-
This paper analyzes user interactions on the public-access online forum of the Human Brain Project (HBP), a major European Union-funded neuroscience research initiative, to understand the utility of the Forum for collaborative problem solving. We construct nov…
preprints
2022
置信度 0.74
-
It is common for animals to use self-generated movements to actively sense the surrounding environment. For instance, rodents rhythmically move their whiskers to explore the space close to their body. The mouse whisker system has become a standard model to stu…
preprints
Alberto Antonietti, Alice Geminiani, E. Negri, Egidio D’Angelo 等
2021
置信度 0.74
Whisking in animalsComputer scienceArtificial neural networkBiological neural networkBarrel cortex
-
Neurodevelopmental disorders, including autism spectrum disorder, have been intensively investigated at the neural, cognitive, and behavioral levels, but the accumulated knowledge remains fragmented. Here, we propose a mechanistic explanation that unifies the …
preprints
Hayato Idei, Shingo Murata, Yuichi Yamashita, Tetsuya Ogata
2020
置信度 0.74
Autism spectrum disorderOverfittingNeuroscienceAutismSensory processing
-
Somatosensory nerves require synapses to respond efficiently and in parallel for receving and transmiting biological signals. The gap between biological systems and conventional electronics needs ionotronics to bridge. However, the exploration of new materials…
preprints
2020
置信度 0.74
-
openalex
Corey M. Thibeault
2012-01-01
置信度 0.72
Computer science
-
Brain-computer interfaces (BCIs) utilizing signals acquired with intracortical implants have achieved successful high-dimensional robotic device control useful for completing daily tasks. However, the substantial amount of medical and surgical expertise requir…
openalex
Bradley J. Edelman, Jianjun Meng, Daniel Suma, Claire A. Zurn 等
2019-06-19
置信度 0.72
NeuroimagingElectroencephalographyComputer scienceControl (management)Artificial intelligence
-
This chapter presents two examples of how neurorobotics is being used to further understanding of word learning in the human infant. The chapter begins by presenting an example of how neurorobotics has been used to explore the synchrony constraint of word-refe…
openalex
Richard Veale
2013-01-01
置信度 0.72
Computer scienceWord (group theory)ReferentArtificial intelligenceFunction (biology)
-
Imprinting vision as memory is a core attribute of human cognitive learning. Fundamental to artificial intelligence systems are bioinspired neuromorphic vision components for the visible and invisible segments of the electromagnetic spectrum. Realization of a …
openalex
Taimur Ahmed, M. Tahir, Mei Xian Low, Yanyun Ren 等
2020-11-17
置信度 0.72
Neuromorphic engineeringComputer scienceScalabilityArtificial intelligencePixel
-
Dynamic interactions with caregivers are essential for infants to develop cognitive abilities, including aspects of action, perception, and attention. We hypothesized that these abilities can be acquired through the predictive learning of sensory inputs includ…
openalex
Shingo Murata, Saki Tomioka, Ryoichi Nakajo, Tatsuro Yamada 等
2015-08-01
置信度 0.72
Humanoid robotArtificial intelligenceCognitionComputer sciencePerception
-
We present the re-embodiment of human actors inside the Neurorobotics Platform [6] as a workin-progress. The Neurorobotics Platform (NRP) is built to design and perform robot embodiment experiments in simulations. Virtual experiments consist of a simulated env…
openalex
Sandro Weber, Gudrun Klinker, Weber, Sandro, Klinker, Gudrun
2019
置信度 0.72
Computer scienceHuman–computer interactionvirtual realityembodimentre-embodiment
-
In robotic navigation, biologically inspired localization models have often exhibited interesting features and proven to be competitive with other solutions in terms of adaptability and performance. In general, place recognition systems rely on global or local…
openalex
Marwen Belkaid, Nicolas Cuperlier, Philippe Gaussier
2016-07-01
置信度 0.72
Computer scienceContext (archaeology)Artificial intelligenceAdaptabilityKey (lock)
-
The design of a brain machine interface for the restoration of lower limb control after spinal cord injury involves the restoration of cortical control of the spinal circuits responsible for this movement. However little is known about how these cortical circu…
openalex
Anitha Manohar, Robert D. Flint, Eric B. Knudsen, Karen A. Moxon
2011-04-01
置信度 0.72
Spinal cord injurySpinal cordPlasticityNeuroplasticityNeuroscience
-
Neurorobotics is an emerging transdisciplinary field of research at the interface between neuro-and cognitive sciences, artificial intelligence and robotics [1,2].It has enormous potential to cross-fertilise these areas and at the same time enable the construc…
openalex
Alois Knoll, Florian Walter
2019-01-01
置信度 0.72
Computer science
-
Infants are able to adaptively associate auditory stimuli with visual stimuli even in their first year of life, as demonstrated by multimodal habituation studies. Different from language acquisition during later developmental stages, this adaptive learning in …
openalex
Richard Veale, Paul Schermerhorn, Matthias Scheutz
2010-12-22
置信度 0.72
HabituationStimulus (psychology)Cognitive psychologyPsychologyEmbodied cognition
-
In this paper, we present a walking biped, based on principles of mammalian neuromuscular architecture. Walking in mammals is a fluid, dynamical interaction between a central pattern generator, the biomechanics of the body, the environment, and sensory feedbac…
openalex
Theresa J. Klein, M. Anthony Lewis
2012-05-01
置信度 0.72
Central pattern generatorSensory systemBiomechanicsRobotComputer science
-
openalex
Somyot Kaitwanidvilai, Uma Seeboonruang, Hisayuki Aoyama, Khemraj Emrith
2019-07-01
置信度 0.72
Computational neuroscienceNeuroscienceComputer scienceCognitive scienceNeuroinformatics
-
In this dissertation, we describe the development of a humanoid bipedal robot that fully physically models the human walking system, including the biomechanics of the leg, the sensory feedback pathways available in the body, and the neural structure of the cen…
openalex
Theresa J. Klein
2011-01-01
置信度 0.72
Computer scienceHumanoid robotPhysical medicine and rehabilitationArtificial intelligenceMedicine
-
ABSTRACT Understanding the brain is a fascinating challenge, captivating the scientific community and the public alike. The lack of effective treatment for most brain disorders makes the training of the next generation of neuroscientists, engineers and physici…
preprints
Christopher A. Harris, Stanislav Mircic, Zachary Reining, Marcio Amorim 等
2019
置信度 0.74
Computational neuroscienceNeuroscienceComputer scienceCompetence (human resources)Cognitive science
-
Understanding the brain is an interdisciplinary effort spanning over the fields of computational neuroscience, machine learning and robotics. The collaboration between researchers across these fields should be encouraged by comprehensive simulation platforms. …
openalex
J. Camilo Vasquez Tieck, Jacques Kaiser, Lea Steffen, Martin Schulze 等
2019-09-01
置信度 0.72
AsideTask (project management)Computer scienceRobotHuman–computer interaction
-
In the past decade, there has been significant advancement in designing wearable neural interfaces for controlling neurorobotic systems, particularly bionic limbs. These interfaces function by decoding signals captured noninvasively from the skin’s surface. Po…
openalex
Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch 等
2024-05-13
置信度 0.72
ElectrodeComputer scienceControl (management)Artificial intelligenceChemistry
-
Neurorobotics is an emerging science that studies the interaction of brain, body, and environment in closed perception-action loops where a robot's actions affect its future sensory input. At the core of this field are robots controlled by simulated nervous sy…
openalex
Alois Knoll
2017-10-01
置信度 0.72
RobotComputer sciencePerceptionHuman–computer interactionRobotics
-
Behaviour selection has been an active research topic for robotics, in particular in the field of human-robot interaction. For a robot to interact autonomously and effectively with humans, the coupling between techniques for human activity recognition and robo…
pubmed
Caetano Mazzoni Ranieri, Renan C. Moioli, Patrícia A. Vargas, Roseli Aparecida Francelin Romero 等
2022-09-27
置信度 0.82
Computer scienceSelection (genetic algorithm)Artificial intelligence
-
openalex
Florian Walter, Florian Röhrbein, Alois Knoll
2015-08-18
置信度 0.72
Neuromorphic engineeringComputer scienceSpiking neural networkArtificial intelligenceArtificial neural network
-
Abstract Going beyond the traditional sparse multichannel peripheral human-machine interface that has been used widely in neurorobotics, high-density surface electromyography (HD-sEMG) has shown significant potential for decoding upper-limb motor control. We h…
preprints
Tianyun Sun, Jacqueline Libby, John‐Ross Rizzo, S. Farokh Atashzar 等
2022
置信度 0.74
Computer scienceConvolutional neural networkDecoding methodsTransient (computer programming)Artificial neural network
-
openalex
Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu 等
2024-01-01
置信度 0.72
Computer scienceTask (project management)Object (grammar)State (computer science)Human–computer interaction
-
Neurorobotics is an interdisciplinary scientific field which focuses on embodied neural systems and spans scientific theory, research, development and clinical medical practice. It involves a variety of science and engineering disciplines, most frequently elec…
openalex
Christos Dimitrousis, Sofia Almpani, Petros Stefaneas, Jan F. Veneman 等
2020-05-11
置信度 0.72
InformaticsVariety (cybernetics)Field (mathematics)Engineering ethicsEmbodied cognition
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openalex
J. Herrán, Iván Fernández, E. Ochoteco, Germán Cabañero 等
2012-03-04
置信度 0.72
Pressure sensorInterface (matter)Offset (computer science)ElectronicsComputer science
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Abstract The human somatosensory system, consisting of receptors, transmitters, and synapses, functions as the medium for external mechanical stimuli perception and sensing signal delivery/processing. Developing sophisticated artificial sensory synapses with a…
openalex
Youhui Chen, Guoyun Gao, Jing Zhao, Huai Zhang 等
2019-03-28
置信度 0.72
Materials scienceNeuromorphic engineeringGrapheneSynapsePostsynaptic potential
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Current advances in neuromorphic engineering have made it possible to emulate complex neuronal ion channel and intracellular ionic dynamics in real time using highly compact and power-efficient complementary metal-oxide-semiconductor (CMOS) analog very-large-s…
openalex
Guy Rachmuth, Harel Z. Shouval, Mark F. Bear, Chi-Sang Poon
2011-11-16
置信度 0.72
Neuromorphic engineeringComputer scienceHebbian theoryMemristorNeuroscience
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The cerebellar microcircuit has been the work bench for theoretical and computational modeling since the beginning of neuroscientific research. The regular neural architecture of the cerebellum inspired different solutions to the long-standing issue of how its…
openalex
Egidio D’Angelo, Alberto Antonietti, Stefano Casali, Claudia Casellato 等
2016-07-08
置信度 0.72
Computer scienceNeuroscienceMotor controlComputational neuroscienceComputational model
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Abstract Deep networks have been recently proposed to estimate motor intention using conventional bipolar surface electromyography (sEMG) signals for myoelectric control of neurorobots. In this regard, Deepnets are generally challenged by long training times (…
preprints
Tianyun Sun, Qin Hu, Jacqueline Libby, S. Farokh Atashzar
2021
置信度 0.74
Computer scienceGestureDecoding methodsArtificial intelligenceRecurrent neural network
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openalex
Jérémie Pinoteau, Luca Bologna, Jesús A. Garrido, Angelo Arleo
2012-01-01
置信度 0.72
BrailleKinematicsComputer scienceSpeech recognitionSomatosensory system
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The emulation of tactile sensory nerves to achieve advanced sensory functions in robotics with artificial intelligence is of great interest. However, such devices remain bulky and lack reliable competence to functionalize further synaptic devices with proprioc…
europepmc
Shuai Chen, Zhongliang Zhou, Kunqi Hou, Xihu Wu 等
2024
置信度 0.80
RobotComputer scienceClosed loopTactile sensorAfferent
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Abstract Being capable of dealing with both electrical signals and light, artificial optoelectronic synapses are of great importance for neuromorphic computing and are receiving a burgeoning amount of interest in visual information processing. In this work, an…
openalex
Wenxiao Wang, Song Gao, Yang Li, Wenjing Yue 等
2021-05-30
置信度 0.72
Neuromorphic engineeringSynapseMaterials scienceComputer scienceOptoelectronics
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This paper introduces an incremental local learning algorithm inspired by learning in neurobiological systems. This algorithm has no training phase and learns the world during operation, in a lifetime manner. It is a semi-supervised algorithm which combines so…
openalex
Heydar Davoudi, Bijan Vosoughi Vahdat
2009-04-01
置信度 0.72
Computer scienceArtificial intelligenceFunction approximationVariance (accounting)Machine learning
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The vertebrate basal ganglia are thought to play an important role in action selection—the resolution of conflicts between alternative motor programs. The effective operation of basal ganglia circuitry is also known to rely on appropriate levels of tonic dopam…
openalex
Tony J. Prescott, Fernando Montes-González, Kevin Gurney, Mark D. Humphries 等
2024-01-08
置信度 0.72
DopamineBasal gangliaNeuroscienceTonic (physiology)Action selection
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Neurorobotic control of prosthetic devices may bea viable therapeutic intervention that provides spinal cord injury patients with the ability to use the neuronal activity of populations of single neurons to control an external device (i.e.cursor on a computer …
openalex
Robert D. Flint, Karen A. Moxon
2006-01-01
置信度 0.72
Spinal cord injurySpinal cordComputer scienceControl (management)Physical medicine and rehabilitation
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In the past decade, there has been significant advancement in designing wearable neural interfaces for controlling neurorobotic systems, particularly bionic limbs. These interfaces function by decoding signals captured non-invasively from the skin's surface. P…
openalex
Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch 等
2023
置信度 0.72
Dropout (neural networks)Computer scienceWearable computerRobustness (evolution)Scalability
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Although we can measure muscle activity and analyze their activation patterns, we understand little about how individual muscles affect the joint torque generated. It is known that they are controlled by circuits in the spinal cord, a system much less well und…
openalex
Benedikt Feldotto, Cristian Soare, Alois Knoll, Piyanee Sriya 等
2022
置信度 0.72
TorqueIsometric exerciseElectromyographyComputer scienceModular design
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BACKGROUND: The use of neurorobotic devices may improve gait recovery by entraining specific brain plasticity mechanisms, which may be a key issue for successful rehabilitation using such approach. We assessed whether the wearable exoskeleton, Ekso™, could get…
openalex
Rocco Salvatore Calabrò, Antonino Naro, Margherita Russo, Placido Bramanti 等
2018-04-25
置信度 0.72
GaitPhysical medicine and rehabilitationExoskeletonGait trainingMedicine
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openalex
Arailym Nussibaliyeva, Aigerim Mussina, Giuseppe Carbone, Baurzhan Tultayev 等
2018-09-26
置信度 0.72
Vestibulo–ocular reflexReflexComputer scienceGazeArtificial intelligence
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Drawing inspiration from biology, neuromorphic systems are of great interest in direct interaction and efficient processing of analogue signals in the real world and could be promising for the development of smart sensors. Here, we demonstrate an artificial se…
openalex
Quantan Wu, Bingjie Dang, Congyan Lu, Guangwei Xu 等
2020-10-16
置信度 0.72
Neuromorphic engineeringComputer scienceArtificial neural networkSensory systemSpike (software development)
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openalex
Benedikt Feldotto, Florian Walter, Florian Röhrbein
2017-09-12
置信度 0.72
Hebbian theoryAssociation (psychology)PsychologyMotor learningComputer science
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This Research Topic is cross-listed in Frontiers in Neurorobotics Active touch can be described as the control of the position and movement of tactile sensing systems to facilitate information gain. In other words, it is finding out about the world by reaching…
openalex
2014-01-01
置信度 0.72
Computer sciencePsychology
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To maximize the autonomy of individuals with upper limb amputations in daily activities, leveraging forearm muscle information to infer movement intent is a promising research direction. While current prosthetic hand technologies can utilize forearm muscle dat…
openalex
Y. Chen, Xinyu Zhang, Yongjie Li, Hongsheng He 等
2025-05-19
置信度 0.72
Computer scienceJoint (building)Transfer of learningArtificial intelligenceInterface (matter)
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openalex
T. Mergner, Vittorio Lippi
2016-10-12
置信度 0.72
Modular designHumanoid robotRoboticsArtificial intelligenceComputer science
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We expand here on our preliminary results from development of a new biorobotic system for advanced studies of brain machine interface development and cortical neuroprosthetics. Our overall testbed for these studies consists of a small mobile robot that is 'dri…
openalex
Coen C. de Visser, Ryan S. Clement, Jennie Si, Romano Patrick
2004-06-21
置信度 0.72
NeuroprostheticsComputer scienceSensory systemRobotBrain–computer interface
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While the original goal for developing robots is replacing humans in dangerous and tedious tasks, the final target shall be completely mimicking the human cognitive and motor behavior. Hence, building detailed computational models for the human brain is one of…
openalex
Omar Zahra, David Navarro-Alarcón, Silvia Tolu
2021-05-18
置信度 0.72
Computer scienceArtificial intelligenceCerebellumMotor controlMotor learning