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• Robustness Through Simplicity: A Minimalist Gateway to Neurorobotic Flight
  In attempting to build neurorobotic systems based on flying animals, engineers have come to rely on existing firmware and simulation tools designed for miniature aerial vehicles (MAVs). Although they provide a valuable platform for the collection of data for D…
  openalex Simon D. Levy 2020-03-16 置信度 0.72 Computer scienceMultirotorFirmwareRobustness (evolution)Software
• NEUROROBOTICS: ARTIFICIAL INTELLIGENCE IN NEUROSCIENCE
  Neurorobotics is the branch of neuroscience where robotics aligns with neuroscience. It is an interdisciplinary science which has enormous opportunity for exploration. Basically, neurorobotics involves the research in robotics and application of the same in in…
  openalex Debosree Ghosh, Partha Sarathi Singha, Suvendu Ghosh 2023-12-01 置信度 0.72 Artificial intelligenceRoboticsComputational neuroscienceCognitive neuroscienceCognitive science
• The real-world localization and classification of multiple odours using a biologically based neurorobotics approach
  Autonomous robotic odour source classification and localization in real world environments is an essential step for applications such as humanitarian demining, environmental monitoring or search and rescue operations. However, at the moment this problem has on…
  openalex José María Blanco Calvo, Sergi Bermúdez i Badia, Hector Tapia Simó, Paul F. M. J. Verschure 2010-07-01 置信度 0.72 Artificial intelligenceComputer scienceRobotHoney BeesMachine learning
• How simple autonomous decisions evolve into robust behaviours?: A review from neurorobotics, cognitive, self-organized and artificial immune systems fields
  Researchers in diverse fields, such as in neuroscience, systems biology and autonomous robotics, have been intrigued by the origin and mechanisms for biological robustness. Darwinian evolution, in general, has suggested that adaptive mechanisms as a way of rea…
  openalex José A. Fernández-León, Gerardo G. Acosta, Alejandro Rozenfeld 2014-08-19 置信度 0.72 Robustness (evolution)Artificial intelligenceRoboticsComputer scienceRobot
• A Real-Time System for Small Animal Neurorobotics at Spinal or Cortical Levels.
  We present a real-time system for small animal neurorobotics and neuroprosthetics at spinal or cortical levels. The system combines biomechanics, neural recording and a 3D robotics system including sensable devices phantoms, ATI 6 axis force transducers, cyber…
  openalex S.F. Giszter, Corey B. Hart, Ubong Ime Udoekwere, Sergey N. Markin 等 2005-04-19 置信度 0.72 NeuroprostheticsRobotRoboticsComputer scienceControl system
• Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics
  Experience replay is widely used in AI to bootstrap reinforcement learning (RL) by enabling an agent to remember and reuse past experiences. Classical techniques include shuffled-, reversed-ordered- and prioritized-memory buffers, which have different properti…
  openalex Elisa Massi, Jean-Gabriel Barthélemy, Juliane Mailly, Rémi Dromnelle 等 2022-06-24 置信度 0.72 Computer scienceReinforcement learningRobotArtificial intelligenceReuse
• Retina Color-Opponency Based Pursuit Implemented Through Spiking Neural Networks in the Neurorobotics Platform
  openalex Alessandro Ambrosano, Lorenzo Vannucci, Ugo Albanese, Murat Kırtay 等 2016-01-01 置信度 0.72 Computer scienceArtificial intelligenceContext (archaeology)Artificial neural networkRetina
• Deep Augmentation for Electrode Shift Compensation in Transient High-density sEMG: Towards Application in Neurorobotics
  Going beyond the traditional sparse multi-channel 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 have rece…
  openalex Tianyun Sun, Jacqueline Libby, John‐Ross Rizzo, S. Farokh Atashzar 2022-10-23 置信度 0.72 Computer scienceConvolutional neural networkDecoding methodsArtificial neural networkTransient (computer programming)
• Neurorobotic Investigation into the Control of Artificial Eye Movements
  openalex Aigerim Mussina, Marco Ceccarelli, Gani Balbayev 2018-01-01 置信度 0.72 Computer scienceMATLABGimbalComputer visionControl theory (sociology)
• Control of medical robotics and neurorobotic prosthetics by noninvasive Brain-Robot Interfaces via EEG and RFID technology
  Brain-robot interface (BRI) has been a growing field of innovative research and development in cognitive neuroscience and brain bioimaging processing technologies. In this paper we endeavor to explore how medical robotics and neurorobotic prosthetics can be co…
  openalex Antoniadou Eleni 2008-10-01 置信度 0.72 Human–computer interactionBrain–computer interfaceElectroencephalographyComputer scienceRobot
• A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulation
  Developing neuro-inspired computing paradigms that mimic nervous system function is an emerging field of research that fosters our model understanding of the biological system and targets technical applications in artificial systems. The computational power of…
  openalex Lorenzo Vannucci, Alessandro Ambrosano, Nino Cauli, Ugo Albanese 等 2015-11-01 置信度 0.72 iCubComputer scienceSynchronizingRobotArtificial intelligence
• Real-time human–robot interaction underlying neurorobotic trust and intent recognition
  openalex Laurence C. Jayet Bray, Sridhar R. Anumandla, Corey M. Thibeault, Roger V. Hoang 等 2012-02-16 置信度 0.72 Computer scienceHuman–robot interactionRobotArtificial intelligenceHuman interaction
• Simulated Dopamine Modulation of a Neurorobotic Model of the Basal Ganglia
  The vertebrate basal ganglia 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 the neurotransmitter dopam…
  pubmed Tony J. Prescott, Fernando Montes-González, K. R. Gurney, Mark D. Humphries 等 2024 Feb 25 置信度 0.82 DopamineBasal gangliaNeuroscienceIndirect pathway of movementTonic (physiology)
• A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition
  Behaviour selection has been an active research topic for robotics, in particular in the field of human-robot interaction. For a robot to interact effectively and autonomously with humans, the coupling between techniques for human activity recognition, based o…
  arxiv Caetano M. Ranieri, Renan C. Moioli, Patricia A. Vargas, Roseli A. F. Romero 2021-07-27T01:25:58Z 置信度 0.78 cs.ROcs.AI
• Autonomous Driving Simulator based on Neurorobotics Platform
  There are many artificial intelligence algorithms for autonomous driving, but directly installing these algorithms on vehicles is unrealistic and expensive. At the same time, many of these algorithms need an environment to train and optimize. Simulation is a v…
  arxiv Wei Cao, Liguo Zhou, Yuhong Huang, Alois Knoll 2022-12-31T01:12:27Z 置信度 0.78 cs.ROcs.AI
• From Unstable Contacts to Stable Control: A Deep Learning Paradigm for HD-sEMG in Neurorobotics
  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…
  arxiv Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch 等 2023-09-20T06:29:24Z 置信度 0.78 cs.ROcs.HC
• Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform
  In recent years, reinforcement learning (RL) has shown great potential for solving tasks in well-defined environments like games or robotics. This paper aims to solve the robotic reaching task in a simulation run on the Neurorobotics Platform (NRP). The target…
  arxiv Marton Szep, Leander Lauenburg, Kevin Farkas, Xiyan Su 等 2022-10-31T08:37:05Z 置信度 0.78 cs.RO
• Evaluating Muscle Synergies with EMG Data and Physics Simulation in the Neurorobotics Platform
  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…
  arxiv Benedikt Feldotto, Cristian Soare, Alois Knoll, Piyanee Sriya 等 2022-01-14T15:03:34Z 置信度 0.78 q-bio.NCcs.OH
• Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
  The Graph Neural Network (GNN) has been widely used for graph data representation. However, the existing researches only consider the ideal balanced dataset, and the imbalanced dataset is rarely considered. Traditional methods such as resampling, reweighting, …
  arxiv S. Shi, Kai Qiao, Shuai Yang, L. Wang 等 2021-05-25T02:43:31Z 置信度 0.78 cs.LGcs.CV
• Embodied Synaptic Plasticity with Online Reinforcement learning
  The endeavor to understand the brain involves multiple collaborating research fields. Classically, synaptic plasticity rules derived by theoretical neuroscientists are evaluated in isolation on pattern classification tasks. This contrasts with the biological b…
  arxiv Jacques Kaiser, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck 等 2020-03-03T10:29:02Z 置信度 0.78 cs.NEcs.AIcs.LGcs.RO
• Optimizing Neurorobot Policy under Limited Demonstration Data through Preference Regret
  Robot reinforcement learning from demonstrations (RLfD) assumes that expert data is abundant; this is usually unrealistic in the real world given data scarcity as well as high collection cost. Furthermore, imitation learning algorithms assume that the data is …
  arxiv Viet Dung Nguyen, Yuhang Song, Anh Nguyen, Jamison Heard 等 2026-04-04T00:03:59Z 置信度 0.78 cs.ROcs.AIcs.CVcs.LG
• The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces
  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)…
  arxiv Costanza Armanini, Tuka Alhanai, Farah E. Shamout, S. Farokh Atashzar 2024-08-05T15:17:34Z 置信度 0.78 cs.ROcs.AIcs.LGeess.SP
• 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 (PEM). A preliminary experiment with humanoid robots showed that the robot was able…
  arxiv Jungsik Hwang, Nadine Wirkuttis, Jun Tani 2019-04-05T03:19:47Z 置信度 0.78 cs.RO
• A Predictive Coding Account for Chaotic Itinerancy
  As a phenomenon in dynamical systems allowing autonomous switching between stable behaviors, chaotic itinerancy has gained interest in neurorobotics research. In this study, we draw a connection between this phenomenon and the predictive coding theory by showi…
  arxiv Louis Annabi, Alexandre Pitti, Mathias Quoy 2021-06-16T16:48:14Z 置信度 0.78 cs.NEcs.LGnlin.CD
• Dynamic Cloth Manipulation Considering Variable Stiffness and Material Change Using Deep Predictive Model with Parametric Bias
  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 …
  arxiv Kento Kawaharazuka, Akihiro Miki, Masahiro Bando, Kei Okada 等 2024-09-24T00:43:01Z 置信度 0.78 cs.RO
• Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction
  Explainable artificial intelligence (XAI) can help foster trust in and acceptance of intelligent and autonomous systems. Moreover, understanding the motivation for an agent's behavior results in better and more successful collaborations between robots and huma…
  arxiv Tom Weber, Stefan Wermter 2020-10-09T14:28:48Z 置信度 0.78 cs.ROcs.AI
• Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses
  Recent advances in upper limb prostheses have led to significant improvements in the number of movements provided by the robotic limb. However, the method for controlling multiple degrees of freedom via user-generated signals remains challenging. To address th…
  arxiv Michael R. Dawson, Adam S. R. Parker, Heather E. Williams, Ahmed W. Shehata 等 2022-12-28T23:27:32Z 置信度 0.78 cs.HCcs.AIcs.MAcs.RO
• Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset
  Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, such as RGB-D camera. Compared to traditional frame-based computer vision, neuromor…
  arxiv Bin Li, Hu Cao, Zhongnan Qu, Yingbai Hu 等 2020-04-28T16:55:19Z 置信度 0.78 cs.CV
• Cognitive and motor compliance in intentional human-robot interaction
  Embodiment and subjective experience in human-robot 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 collabor…
  arxiv Hendry Ferreira Chame, Jun Tani 2019-11-05T13:03:10Z 置信度 0.78 cs.ROcs.HCcs.NE
• Curved Trajectory Detection : A Novel Neurocognitive Perception Approach for Autonomous Smart Robots
  Braitenberg vehicles could be mentioned as the seminal elements for cognitive studies in robotics fields especially neurorobotics to invent more smart robots. Motion detection of dynamic objects could be taken as one of the most inspiring abilities into accoun…
  arxiv Matin Macktoobian 2014-07-06T05:51:27Z 置信度 0.78 cs.RO
• Closed loop interactions between spiking neural network and robotic simulators based on MUSIC and ROS
  In order to properly assess the function and computational properties of simulated neural systems, it is necessary to account for the nature of the stimuli that drive the system. However, providing stimuli that are rich and yet both reproducible and amenable t…
  arxiv Philipp Weidel, Mikael Djurfeldt, Renato Duarte, Abigail Morrison 2016-04-16T15:09:44Z 置信度 0.78 cs.NEcs.RO
• 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…
  arxiv Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi 2018-04-17T07:47:33Z 置信度 0.78 cs.AIcs.NEcs.RO
• BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization
  Deep neural networks (DNNs) are known for extracting useful information from large amounts of data. However, the representations learned in DNNs are typically hard to interpret, especially in dense layers. One crucial issue of the classical DNN model such as m…
  arxiv Yuyang Gao, Giorgio A. Ascoli, Liang Zhao 2019-09-27T14:54:30Z 置信度 0.78 cs.NEcs.LGstat.ML
• Designing spontaneous behavioral switching via chaotic itinerancy
  Chaotic itinerancy is a frequently observed phenomenon in high-dimensional and nonlinear dynamical systems, and it is characterized by the random transitions among multiple quasi-attractors. Several studies have revealed that chaotic itinerancy has been observ…
  arxiv Katsuma Inoue, Kohei Nakajima, Yasuo Kuniyoshi 2020-02-13T06:00:24Z 置信度 0.78 cs.ROmath.DSnlin.AO
• Inference of Affordances and Active Motor Control in Simulated Agents
  Flexible, goal-directed behavior is a fundamental aspect of human life. Based on the free energy minimization principle, the theory of active inference formalizes the generation of such behavior from a computational neuroscience perspective. Based on the theor…
  arxiv Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz 2022-02-23T14:13:04Z 置信度 0.78 cs.AI
• Neuromorphic force-control in an industrial task: validating energy and latency benefits
  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…
  arxiv Camilo Amaya, Evan Eames, Gintautas Palinauskas, Alexander Perzylo 等 2024-03-13T19:36:03Z 置信度 0.78 cs.RO
• The Importance of Models in Data Analysis with Small Human Movement Datasets -- Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
  This work presents a system identification procedure based on Convolutional Neural Networks (CNN) for human posture control using the DEC (Disturbance Estimation and Compensation) parametric model. The modular structure of the proposed control model inspired t…
  arxiv Vittorio Lippi, Christoph Maurer, Thomas Mergner 2021-02-04T11:02:11Z 置信度 0.78 cs.ROcs.LG
• Modeling emotion for human-like behavior in future intelligent robots
  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…
  arxiv Marwen Belkaid, Luiz Pessoa 2020-09-30T17:32:30Z 置信度 0.78 cs.AI
• NeuroPod: a real-time neuromorphic spiking CPG applied to robotics
  Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for humans. Although they were able to perform these tasks, the latest generation of robots are being designed to take a step further, by perfor…
  arxiv Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Fernando Perez-Pena, Alejandro Linares-Barranco 2019-04-25T09:55:50Z 置信度 0.78 cs.ROcs.NE
• ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding
  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…
  arxiv Qin Hu, Golara Ahmadi Azar, Alyson Fletcher, Sundeep Rangan 等 2023-09-22T03:23:42Z 置信度 0.78 cs.HCcs.ROeess.SP
• Learning Citywide Patterns of Life from Trajectory Monitoring
  The recent proliferation of real-world human mobility datasets has catalyzed geospatial and transportation research in trajectory prediction, demand forecasting, travel time estimation, and anomaly detection. However, these datasets also enable, more broadly, …
  arxiv Mark Tenzer, Zeeshan Rasheed, Khurram Shafique 2022-06-30T15:28:15Z 置信度 0.78 cs.LGcs.NE
• TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
  There has been a surge of recent interest in Machine Learning (ML), particularly Deep Neural Network (DNN)-based models, to decode muscle activities from surface Electromyography (sEMG) signals for myoelectric control of neurorobotic systems. DNN-based models,…
  arxiv Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina 等 2021-09-25T15:03:22Z 置信度 0.78 cs.LGeess.SP
• World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
  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 …
  arxiv Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene 等 2023-01-14T06:38:14Z 置信度 0.78 cs.ROcs.AIcs.LG
• Optimization of sim-to-real transfer in the humanoid robot NICO
  Robotic grasping requires accurate coordination between visual perception, object localization, inverse kinematics, and hand control. However, when movements planned in simulation are executed on a physical robot, the sim-to-real gap can cause small positionin…
  arxiv Juraj Gavura, Igor Farkaš 2026-07-20T17:45:04Z 置信度 0.78 cs.RO
• Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires
  Modern robots face challenges shared by humans, where machines must learn multiple sensorimotor skills and express them adaptively. Equipping robots with a human-like memory of how it feels to do multiple stereotypical movements can make robots more aware of n…
  arxiv Pranav Mahajan, Mufeng Tang, T. Ed Li, Ioannis Havoutis 等 2025-05-14T19:46:23Z 置信度 0.78 cs.ROcs.NE
• VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
  We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate a real robotic body (iCub) when performing different vestibulo-ocular reflex (VOR) tasks. The spiking neural network computation, including event- and ti…
  arxiv Francisco Naveros, Niceto R. Luque, Eduardo Ros, Angelo Arleo 2020-03-03T09:48:15Z 置信度 0.78 q-bio.NCcs.NEcs.ROeess.SY
• 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…
  arxiv Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Olivier Romain 2021-09-30T08:26:22Z 置信度 0.78 cs.CVeess.IV
• 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…
  arxiv Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu 等 2024-06-14T12:52:42Z 置信度 0.78 cs.AIcs.CLcs.RO
• Simulated Mental Imagery for Robotic Task Planning
  Traditional AI-planning methods for task planning in robotics require a symbolically encoded domain description. While powerful in well-defined scenarios, as well as human-interpretable, setting this up requires substantial effort. Different from this, most ev…
  arxiv Shijia Li, Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter 2022-11-15T17:24:15Z 置信度 0.78 cs.RO
• Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning
  Deep Reinforcement Learning agents often suffer from catastrophic forgetting, forgetting previously found solutions in parts of the input space when training on new data. Replay Memories are a common solution to the problem, decorrelating and shuffling old and…
  arxiv Muhammad Burhan Hafez, Tilman Immisch, Tom Weber, Stefan Wermter 2023-05-03T11:39:31Z 置信度 0.78 cs.LGcs.AIcs.RO
• IsoNet: Causal Analysis of Multimodal Transformers for Neuromuscular Gesture Classification
  Hand gestures are a primary output of the human motor system, yet the decoding of their neuromuscular signatures remains a bottleneck for basic neuroscience and assistive technologies such as prosthetics. Traditional human-machine interface pipelines rely on a…
  arxiv Eion Tyacke, Kunal Gupta, Jay Patel, Rui Li 2025-06-20T04:31:32Z 置信度 0.78 cs.LGcs.ROeess.SP
• Experience Replay Using Transition Sequences
  Experience replay is one of the most commonly used approaches to improve the sample efficiency of reinforcement learning algorithms. In this work, we propose an approach to select and replay sequences of transitions in order to accelerate the learning of a rei…
  arxiv Thommen George Karimpanal, Roland Bouffanais 2017-05-30T19:24:09Z 置信度 0.78 cs.AI
• A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks
  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 behaviour. Hence, building detailed computational models for the human brain is one o…
  arxiv Omar Zahra, David Navarro-Alarcon, Silvia Tolu 2021-02-03T09:36:47Z 置信度 0.78 cs.RO
• SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
  The adaptive changes in synaptic efficacy that occur between spiking neurons have been demonstrated to play a critical role in learning for biological neural networks. Despite this source of inspiration, many learning focused applications using Spiking Neural …
  arxiv Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, Joe Hays 2021-06-04T19:29:07Z 置信度 0.78 cs.NEcs.LGcs.RO
• A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution
  To enhance human-robot social interaction, it is essential for robots to process multiple social cues in a complex real-world environment. However, incongruency of input information across modalities is inevitable and could be challenging for robots to process…
  arxiv Di Fu, Fares Abawi, Hugo Carneiro, Matthias Kerzel 等 2021-11-02T21:49:52Z 置信度 0.78 cs.ROcs.AIcs.HC
• Learning Transferable Push Manipulation Skills in Novel Contexts
  This paper is concerned with learning transferable forward models for push manipulation that can be applying to novel contexts and how to improve the quality of prediction when critical information is available. We propose to learn a parametric internal model …
  arxiv Rhys Howard, Claudio Zito 2020-07-29T11:48:56Z 置信度 0.78 cs.ROcs.LG
• Crossmodal Language Grounding in an Embodied Neurocognitive Model
  Human infants are able to acquire natural language seemingly easily at an early age. Their language learning seems to occur simultaneously with learning other cognitive functions as well as with playful interactions with the environment and caregivers. From a …
  arxiv Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu 等 2020-06-24T08:12:09Z 置信度 0.78 cs.NEcs.CLcs.LG
• Invariant neuromorphic representations of tactile stimuli improve robustness of a real-time texture classification system
  Humans have an exquisite sense of touch which robotic and prosthetic systems aim to recreate. We developed algorithms to create neuron-like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and contact force applied in …
  arxiv Mark M. Iskarous, Zan Chaudhry, Fangjie Li, Samuel Bello 等 2024-11-26T02:57:37Z 置信度 0.78 cs.ROeess.SP
• Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
  A key challenge for AI is to build embodied systems that operate in dynamically changing environments. Such systems must adapt to changing task contexts and learn continuously. Although standard deep learning systems achieve state of the art results on static …
  arxiv Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza 等 2021-12-31T19:52:42Z 置信度 0.78 cs.NEcs.AIcs.LGq-bio.NC
• Embodied Neuromorphic Vision with Event-Driven Random Backpropagation
  Spike-based communication between biological neurons is sparse and unreliable. This enables the brain to process visual information from the eyes efficiently. Taking inspiration from biology, artificial spiking neural networks coupled with silicon retinas atte…
  arxiv Jacques Kaiser, Alexander Friedrich, J. Camilo Vasquez Tieck, Daniel Reichard 等 2019-04-09T17:35:24Z 置信度 0.78 cs.NEcs.AIcs.LG
• Neurorobotics for automotive manufacturing industry in era of embodied intelligence: a mini review.
  As automotive manufacturing advances toward the industrial 5.0 era, traditional rigid automation production models are transitioning toward the embodied intelligence paradigm. Confronted with mass customization, diverse products, and small-batch production, th…
  europepmc Bangcheng Zhang, Qi Xia 2026 置信度 0.80 Automotive industryAutomationDynamismComputer scienceRobot
• Editorial: Privacy-preserving deep heterogeneous view perception for data learning in neurorobotics volume II
  EDITORIAL article Front. Neurorobot., 20 February 2023 Volume 17 - 2023 | https://doi.org/10.3389/fnbot.2023.1151609
  pubmed Peng Li, Li P 2023 置信度 0.82 Volume (thermodynamics)Computer sciencePerceptionArtificial intelligenceData science
• Correction: Neurorobotics for automotive manufacturing industry in era of embodied intelligence: a mini review.
  The automotive industry is a representative of the manufacturing industry, as the demand has shifted to customization, and the production system faces severe challenges of multi-variety, small batch, and personalized customization. Under this background, the i…
  europepmc Bangcheng Zhang, Qi Xia 2026 置信度 0.80 Automotive industryComputer scienceProduction lineManufacturing engineeringRobot
• Neurorobotics
  openalex Karen A. Moxon 2007-12-31 置信度 0.72 NeuroprostheticsNeural ProsthesisMedicineNeurosciencePhysical medicine and rehabilitation
• Robots with language
  Trying to understand human language by constructing robots that have language necessarily implies an embodied view of language, where the meaning of linguistic expressions is derived from the physical interactions of the organism with the environment. The pape…
  crossref Domenico Parisi 2011-01-17T13:21:00Z 置信度 0.70
• Neurorobotics: Neurobiologically inspired robots
  openalex Jeffrey Krichmar, Jeffrey L. Krichmar 2010-01-01 置信度 0.72 RobotComputer scienceArtificial intelligence
• Neurorobotics
  openalex Jun Tani 2022-01-01 置信度 0.72 Philosophy
• Reward-based learning for virtual neurorobotics through emotional speech processing
  Reward-based learning can easily be applied to real life with a prevalence in children teaching methods. It also allows machines and software agents to automatically determine the ideal behavior from a simple reward feedback (e.g., encouragement) to maximize t…
  openalex Laurence C. Jayet Bray, Gareth B. Ferneyhough, Emily R. Barker, Corey M. Thibeault 等 2013-01-01 置信度 0.72 Computer scienceSpeech recognitionArtificial intelligenceHuman–computer interactionNatural language processing
• Frontiers in Neurorobotics – Editor’s Pick 2021
  We are pleased to introduce the collection Frontiers in Neurorobotics – Editor’s Pick 2021. This collection showcases the most well-received spontaneous articles from the past couple of years, and have been specially handpicked by our Chief Editor.The work pre…
  openalex 2021-01-01 置信度 0.72 HistoryComputer science
• Insights in Neurorobotics: 2021
  We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of Neurorobotics. Frontiers has organized a series o…
  openalex 2022-01-01 置信度 0.72 Political scienceComputational biologyBiology
• Neurorobotics: Neuroscience and Robots
  openalex Tiffany J. Hwu, Jeffrey L. Krichmar, Tiffany Hwu 2022-05-17 置信度 0.72 NeuroscienceCognitive scienceComputer sciencePsychologyHuman–computer interaction
• Integrating action and language through biased competition
  Several recent psychological investigations have demonstrated that planning an action biases visual processing. Symes et al. (2008) for example, reported faster target detection for a changing object amongst several non-changing objects following the planning …
  crossref Ed Symes 2010-06-07T08:48:49Z 置信度 0.70
• Gradient boosting machines, a tutorial
  Gradient boosting machines are a family of powerful machine-learning techniques that have shown considerable success in a wide range of practical applications. They are highly customizable to the particular needs of the application, like being learned with res…
  openalex Alexey Natekin, Alois Knoll 2013-01-01 置信度 0.72 Boosting (machine learning)Gradient boostingComputer scienceMachine learningArtificial intelligence
• Neurobiologically inspired mobile robot navigation and planning
  After a short review of biologically inspired navigation architectures, mainly relying on modeling the hippocampal anatomy, or at least some of its functions, we present a navigation and planning model for mobile robots. This architecture is based on a model o…
  crossref Nicolas Cuperlier 2008-05-08T14:33:06Z 置信度 0.70
• Neurorobotics explores machine learning
  One of the most prominent distinctions between machines and humans is the ability for cognitive behavior and learning. Traditionally, robotic machines were programmed to perform a specific function without the capability for adaptability or improvement. We now…
  openalex 2023-01-01 置信度 0.72 Computer scienceArtificial intelligenceMachine learning
• Editorial: Deformable object manipulation
  pubmed Solvi Arnold, Arnold S 2022 置信度 0.82
• Robust Artificial Intelligence for Neurorobotics
  Neural computing is a powerful paradigm that has revolutionised machine learning. However, robotics brings stringent constraints on size, weight and power constraints (SWaP), which challenges the developers of these technologies in new ways. Equally, the fact …
  openalex 2022-01-01 置信度 0.72 Artificial intelligenceComputer science
• MEART: The semi-living artist
  Here, we and others describe an unusual neurorobotic project, a merging of art and science called MEART, the semi-living artist. We built a pneumatically actuated robotic arm to create drawings, as controlled by a living network of neurons from rat cortex grow…
  openalex Douglas J. Bakkum 2007-01-01 置信度 0.72 Computer scienceVolume (thermodynamics)Front (military)Artificial intelligenceHuman–computer interaction
• Compositional Symbol Grounding for Motor Patterns
  We developed a new experimental and simulative paradigm to study the establishing of compositional grounded representations for motor patterns. Participants learned to associate non-sense arm motor patterns, performed in three different hand postures, with non…
  crossref Alberto Greco, Claudio Caneva 2010-11-24T12:48:45Z 置信度 0.70
• Emotion estimation from video footage with LSTM.
  Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses Blendshapes from the MediaPipe library to analyze facial expressions d…
  europepmc 2025 置信度 0.80
• A neural network model of causative actions
  A common idea in models of action representation is that actions are represented in terms of their perceptual effects (see e.g., Prinz, 1997; Hommel et al., 2001; Sahin et al., 2007; Umiltà et al., 2008; Hommel, 2013). In this paper we extend existing models o…
  crossref Jeremy Lee-Hand, Alistair Knott 2015-06-30T08:47:21Z 置信度 0.70
• Sentence processing: linking language to motor chains
  A growing body of evidence in cognitive science and neuroscience points towards the existence of a deep interconnection between cognition, perception and action. According to this embodied perspective language is grounded in the sensorimotor system and languag…
  crossref Fabian Chersi 2010-05-28T11:25:26Z 置信度 0.70
• Passive Motion Paradigm: An Alternative to Optimal Control
  IN THE LAST YEARS, OPTIMAL CONTROL THEORY (OCT) HAS EMERGED AS THE LEADING APPROACH FOR INVESTIGATING NEURAL CONTROL OF MOVEMENT AND MOTOR COGNITION FOR TWO COMPLEMENTARY RESEARCH LINES: behavioral neuroscience and humanoid robotics. In both cases, there are g…
  openalex Vishwanathan Mohan, Pietro Morasso 2011-01-01 置信度 0.72 Computer scienceMotion (physics)Control (management)Motion controlArtificial intelligence
• Learning in brain and machine—complexity, Gödel, Aristotle
  OPINION article Front. Neurorobot., 27 November 2013 Volume 7 - 2013 | https://doi.org/10.3389/fnbot.2013.00023
  crossref Leonid Perlovsky 2013-11-27T15:10:51Z 置信度 0.70
• Enacting Plant-Inspired Robotics
  Plants offer a source of bioinspiration for soft robotics. Nevertheless, a gap remains in designing robots based on the fundamental principles of plant intelligence, rooted in a non-centralized, modular architecture and a highly plastic phenotype. We contend t…
  crossref Jonny Lee, Paco Calvo 2022-01-31T05:11:00Z 置信度 0.70
• How do we approach intrinsic motivation computationally?
  GENERAL COMMENTARY article Front. Neurorobot., 22 May 2008 Volume 2 - 2008 | https://doi.org/10.3389/neuro.12.001.2008
  crossref Cornelius Weber 2008-07-01T16:10:09Z 置信度 0.70
• A Neurorobotics Approach to Investigating Word Learning Behaviors
  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 2013-09-13 置信度 0.72 ReferentComputer scienceWord (group theory)Artificial intelligenceFunction (biology)
• Editorial of E-Book on Action and Language Integration
  NEUROROBOTICSsuch as the characteristics of the agents implied by sentences.The authors also explicitly discuss the implications of these studies for embodied robotics.Symes and colleagues present a cognitive psychology study on the integrating action and lang…
  crossref Angelo Cangelosi 2012-05-01T10:14:59Z 置信度 0.70
• Brain-machine interactions for assessing the dynamics of neural systems
  A critical advance for brain-machine interfaces is the establishment of bi-directional communications between the nervous system and external devices. However, the signals generated by a population of neurons are expected to depend in a complex way upon poorly…
  crossref Michael Kositsky 2009-02-18T16:31:18Z 置信度 0.70
• What is value—accumulated reward or evidence?
  Why are you reading this abstract? In some sense, your answer will cast the exercise as valuable-but what is value? In what follows, we suggest that value is evidence or, more exactly, log Bayesian evidence. This implies that a sufficient explanation for valua…
  openalex Karl Friston, Rick Adams, Read Montague, Rick A. Adams 2012-01-01 置信度 0.72 Computer scienceValue (mathematics)Artificial intelligenceMachine learning
• Multimodal fusion-powered English speaking robot
  Introduction Speech recognition and multimodal learning are two critical areas in machine learning. Current multimodal speech recognition systems often encounter challenges such as high computational demands and model complexity. Methods To overcome these issu…
  crossref Ruiying Pan 2024-11-15T06:18:15Z 置信度 0.70
• Value and reward based learning in neurorobots
  EDITORIAL article Front. Neurorobot., 13 September 2013 https://doi.org/10.3389/fnbot.2013.00013
  crossref Jeffrey L. Krichmar, Florian Röhrbein 2013-09-13T03:42:28Z 置信度 0.70
• Effectiveness and robustness of robot infotaxis for searching in dilute conditions
  Tracking scents and locating odor sources is a major challenge in robotics. The odor plume is not a continuous cloud but consists of intermittent odor patches dispersed by the wind. Far from the source, the probability of encountering one of these patches vani…
  crossref Moraud 2010-03-05T08:09:39Z 置信度 0.70
• Emotion and magnitude perception: number and length bisection
  Studies of the effect of emotional stimuli on time perception have shown that a threatening stimulus produces a temporal lengthening effect compared to a non-threatening stimulus. In order to better understand the mechanisms underlying this emotion-related tim…
  crossref Sylvie Droit-Volet 2013-12-16T06:21:13Z 置信度 0.70
• A biologically plausible embodied model of action discovery
  During development, animals can spontaneously discover action-outcome pairings enabling subsequent achievement of their goals. We present a biologically plausible embodied model addressing key aspects of this process. The biomimetic model core comprises the ba…
  crossref Rufino Bolado-Gomez, Kevin Gurney 2013-03-12T05:40:02Z 置信度 0.70
• Editorial: Toward and Beyond Human-Level AI
  EDITORIAL article Front. Neurorobot., 09 December 2020 | https://doi.org/10.3389/fnbot.2020.617446
  crossref Witali Dunin-Barkowski 2020-12-09T08:15:33Z 置信度 0.70
• On the kinematic Motion Primitives (kMPs) – theory and application
  Human neuromotor capabilities guarantee a wide variety of motions. A full understanding of human motion can be beneficial for rehabilitation or performance enhancement purposes, or for its reproduction on artificial systems like robots. This work aims at descr…
  crossref Federico Moro 2013-01-23T16:58:37Z 置信度 0.70
• Linking language with embodied and teleological representations of action for humanoid cognition
  The current research extends our framework for embodied language and action comprehension to include a teleological representation that allows goal-based reasoning for novel actions. The objective of this work is to implement and demonstrate the advantages of …
  crossref Lallee 2010-09-30T10:27:50Z 置信度 0.70
• A parameter-free learning automaton scheme
  For a learning automaton, a proper configuration of the learning parameters is crucial. To ensure stable and reliable performance in stochastic environments, manual parameter tuning is necessary for existing LA schemes, but the tuning procedure is time-consumi…
  crossref Xudie Ren, Shenghong Li, Hao Ge 2022-09-23T12:41:20Z 置信度 0.70
• Self-Organized Behavior Generation for Musculoskeletal Robots
  With the accelerated development of robot technologies, control becomes one of the central themes of research. In traditional approaches, the controller, by its internal functionality, finds appropriate actions on the basis of specific objectives for the task …
  crossref Ralf Der, Georg Martius 2017-03-16T03:44:46Z 置信度 0.70