yusuke1997/dblp-id-title huggingface dataset:
Do infants' gaze sequences predict their looking time? Testing the sequential-learnability model
Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid
Toward Empathic Communication: Emotion Differentiation via Face-to-Face Interaction in Generative Model of Emotion
Progress towards a humanoid robot that learns to stand
Behavior coordination between animals, humans and robots
Modelling early infant walking: Testing a generic CPG architecture on the NAO humanoid
Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control
Acquisition of adaptive behavior of robot through bow-tie structure
Development of joint stiffness and learnability
Learning Representations of Spatial Displacement through Sensorimotor Prediction
What good are actions? Accelerating learning using learned action priors
Computational model for syntactic development: Identifying how children learn to generalize nouns and verbs for different languages
A new approach for curvature estimation of sampled data
Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images
From Reward to Histone: Combining Temporal-Difference Learning and Epigenetic Inheritance for Swarm's Coevolving Decision Making
Learning stable pushing locations
Enhancing agent safety through autonomous environment adaptation
Learning regions for building a world model from clusters in probability distributions
Online-learning and planning in high dimensions with finite element goal babbling
Robots are Good for Profit: A Business Perspective on Robots in Education
Improving extrinsically motivated developmental robots through intrinsic motivations
Learnability of infants' center-of-gaze sequences predicts their habituation and posthabituation looking time
What a successful grasp tells about the success chances of grasps in its vicinity
Autonomous reuse of motor exploration trajectories
Intrinsically motivated neuroevolution for vision-based reinforcement learning
Intrinsically Motivated Agent Behavior in a Swarm
Artificial curiosity with planning for autonomous perceptual and cognitive development
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction
Strategic and interactive learning of a hierarchical set of tasks by the Poppy humanoid robot
Do humans need learning to read humanoid lifting actions?
Comparison of absolute and relative strategies to encode sensorimotor transformations in tool-use
A neural process model of learning to sequentially organize and activate pre-reaches
What accounts for developmental shifts in optic flow sensitivity?
Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY
An Optimization Framework for Task Sequencing in Curriculum Learning
An Enactive approach to autonomous agent and robot learning
Design and early evaluation of the RUBI-5 sociable robots
Motor Habituation: Theory and Experiment
Generation of condition-dependent reaching movements based on layered associative networks
Tracking Emotions: Intrinsic Motivation Grounded on Multi - Level Prediction Error Dynamics
Autonomous learning of cyclovergence control based on Active Efficient Coding
Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards
The role of temporal variance in motions for the emergence of mirror neurons systems
Autonomous table-cleaning from kinesthetic demonstrations using Deep Learning
Ungrounding symbols in language development: implications for modeling emergent symbolic communication in artificial systems
Hindsight Experience Replay With Experience Ranking
Synchronisation and desynchronisation as important elements for the development of interaction capabilities
Efficient Reward-Based Learning through Body Representation in a Spiking Neural Network
A spiking neural network model of canonical babbling development
Spike Timing Dependent Plasticity Enhances Integrated Information at the EEG Level: A Large-scale Brain Simulation Experiment
Directionality in figurative language interpretation: Prior activation determines details of feature attribution in metaphor processing
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning
Joint development of disparity tuning and vergence control
A sensorimotor account of visual and tactile integration for depth perception: An iCub robot experiment
Autonomous object modeling based on affordances for spatial organization of behavior
Learning adaptive movements from demonstration and self-guided exploration
A generative-discriminative learning model for noisy information fusion
Aquila 2.0 software architecture for cognitive robotics
KALA: Robotic Platform for Teaching Algorithmic Thinking to Children
No, Your Other Left! Language Children Use To Direct Robots
Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment
Modeling Self-organized Emergence of Perspective In/variant Mirror Neurons in a Robotic System
Learning to react to abstractions: Accumulating adaptations in a humanoid embodiment
Epsilon-greedy babbling
Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots?
Local over-connectivity reduces the complexity of neural activity: Toward a constructive understanding of brain networks in patients with autism spectrum disorder
Active robot learning with human tutelage
Who Can Benefit from Robots? Effects of Individual Differences in Robot-Assisted Language Learning
A competitive mechanism for self-organized learning of sensorimotor mappings
Tapping the sensorimotor trajectory
A learning model for essentialist concepts
Emergence of interactive behaviors between two robots by prediction error minimization mechanism
The developing sense of agency: Implications from cognitive phenomenology
Modeling the Development of Infant Imitation using Inverse Reinforcement Learning
Explanation of the perceptual oblique effect based on the fidelity of oculomotor control during saccades
Why are you smiling? In a strategic context, people's affective responses reflect the meaning of android's facial expressions
Toddlers' Hands Organize Parent-Toddler Attention across Different Social Contexts
People-aware navigation for goal-oriented behavior involving a human partner
Can passive arm movement affect adaptation to visuomotor rotation?
An integrated epigenetic robot architecture via context-influenced long-term memory
Exploration of unknown dynamic environments: A visual saliency-based babbling approach
Poppy: Open source 3D printed robot for experiments in developmental robotics
Explaining neonate facial imitation from the sensory alignment in the superior colliculus
Unsupervised learning for spoken word production based on simultaneous word and phoneme discovery without transcribed data
Adaptive leader-follower role switching based on rhythm stability: Toward modeling of dynamic infant-caregiver interaction
Concretizing the image schema: How semantics guides the bootstrapping of syntax
The robot baby and massive metacognition: Future vision
Development of goal-directed gaze shift based on predictive learning
A neural-dynamic architecture for behavioral organization of an embodied agent
Intrinsically motivated model learning for a developing curious agent
How everyday visual experience prepares the way for learning object names
Realistic child robot "Affetto" for understanding the caregiver-child attachment relationship that guides the child development
Grounding abstract action words through the hierarchical organization of motor primitives
Manual object exploration and learning about object features in human infants
Action understanding using an adaptive Liquid State Machine based on environmental ambiguity
An infant-inspired model for robot developing its reaching ability
Preschoolers' engagement in social interaction with an autonomous robotic system
Structural bootstrapping at the sensorimotor level for the fast acquisition of action knowledge for cognitive robots
Towards incremental learning of task-dependent action sequences using probabilistic parsing
A Bayesian approach towards affordance learning in artificial agents
Multisensory object discovery via self-detection and artificial attention
Musculoskeletal Bias on Infant Sensorimotor Development Driven by Predictive Learning
Learning from human reward benefits from socio-competitive feedback
Reinforcement and shaping in learning action sequences with neural dynamics
Creative Problem Solving by Robots Using Action Primitive Discovery
Familiarity-to-novelty shift driven by learning: A conceptual and computational model
Reward-Punishment Actor-Critic Algorithm Applying to Robotic Non-grasping Manipulation
Discovering communication through ontogenetic ritualisation
Sticking to the Evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism
Uncertain semantics, representation nuisances, and necessary invariance properties of bootstrapping agents
The dynamics of idealized attention in complex learning environments
Proprioceptive Feedback Plays a Key Role in Self-Other Differentiation
Predictive action selector for generating meaningful robot behaviour from minimum amount of samples
Bidirectional warping of Active Appearance Model
Cross-domain and within-domain synaptic maintenance for autonomous development of visual areas
A Categorization of Reinforcement Learning Exploration Techniques which Facilitates Combination of Different Methods
Embodiment guides motor and spinal circuit development in vertebrate embryo and fetus
Neuromodulation, attention and localization using a novel Android™ robotic platform
Evolutionary perspective for Goal-Babbling Exploration
Emergence of the use of pronouns and names in triadic human-robot spoken interaction
Autonomous selection of the "what" and the "how" of learning: An intrinsically motivated system tested with a two armed robot
Development of physical problem-solving competences in human infants and corvids
Action Selection Based on Prediction for Robot Planning
Embodied artificial intelligence through distributed adaptive control: An integrated framework
A generative model for developmental understanding of visuomotor experience
Do beliefs about a robot's capabilities influence alignment to its actions?
Using spatial representations in gesture to facilitate early word learning: A priming process model
A developmentally inspired transfer learning approach for predicting skill durations
Language Acquisition with Echo State Networks: Towards Unsupervised Learning
Special session: Dynamic interactions between visual experiences, actions and word learning
Learning a musical sequence by observation: A robotics implementation of a dynamic neural field model
Modeling perspective-taking upon observation of 3D biological motion
Imitation learning and attentional supervision of dual-arm structured tasks
The strategic student approach for life-long exploration and learning
Learning abstract perceptual notions: The example of space
Incremental online learning of objects for robots operating in real environments
Designing a socially assistive robot for personalized number concepts learning in preschool children
Bottom-up learning of feedback in a categorization task
Diversity-driven selection of exploration strategies in multi-armed bandits
Pain and self-preservation in autonomous robots: From neurobiological models to psychiatric disease
Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2020, Valparaiso, Chile, October 26-30, 2020
Learning intermediate object affordances: Towards the development of a tool concept
Teaching and executing verb phrases
Frustration as a way toward autonomy and self-improvement in robotic navigation
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset
Interactional Motivation in artificial systems: Between extrinsic and intrinsic motivation
Recognition in Human-Robot Interaction: The Gateway to Engagement
Is talking to a simulated robot like talking to a child?
Learning to Parse Grounded Language using Reservoir Computing
Learning postures through an imitation game between a human and a robot
Distinct mechanisms for multimodal integration and unimodal representation in spatial development
Experiential robot learning with deep neural networks
Embodying models of expressive behaviour and learning with a biomimetic virtual infant
Autonomously learning beliefs is facilitated by a neural dynamic network driving an intentional agent
2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016, Cergy-Pontoise, France, September 19-22, 2016
Understanding Robot Motion in domestic settings
A deep learning approach for seamless integration of cognitive skills for humanoid robots
An unsupervised algorithm for the induction of constructions
Exploration strategies in developmental robotics: A unified probabilistic framework
New evidence for learning-based accounts of gaze following: Testing a robotic prediction
Posture recognition analysis during human-robot imitation learning
Emergent proximo-distal maturation through adaptive exploration
Multimodal Sensory Representation for Object Classification via Neocortically-inspired Algorithm
DeepEfference: Learning to predict the sensory consequences of action through deep correspondence
Solving Bidirectional Tasks using MTRNN
2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2018, Tokyo, Japan, September 17-20, 2018
Developing neural networks with neurons competing for survival
Socially guided intrinsically motivated learner
Recurrent neural network for ballistic actions: A study with the iCub
Computational models of tutor feedback in language acquisition
Development of compositional and contextual communication of robots by using the multiple timescales dynamic neural network
Behavior adaptation from negative social feedback based on goal awareness
A computational model of crossmodal processing for conflict resolution
Autism simulator employing augmented reality: A prototype
Towards learning strategies and exploration patterns for feature perception
Visual Learning for Reaching and Body-Schema with Gain-Field Networks
Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto
Co-development of information transfer within and between infant and caregiver
Using proprioceptive information for the development of robot body representations
Overlapping waves in tool use development: A curiosity-driven computational model
When and where do infants follow gaze?
A bio-inspired attention model of anticipation in gaze-contingency experiments with infants
Intrinsic motivation mechanisms for competence acquisition
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space
Epigenetic adaptation through hormone modulation in autonomous robots
Babbling elicits simplified caregiver speech: Findings from natural interaction and simulation
Modelling the Single Word to Multi-Word Transition Using Matrix Completion
Autonomous learning of active multi-scale binocular vision
Learning to pick up objects through active exploration
1st International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EPIROB 2011, Frankfurt am Main, Germany, August 24-27, 2011
Causal learning in the Crib: A predictive processing formalization and babybot simulation
Learning and using context on a humanoid robot using latent dirichlet allocation
Hormonal modulation of interaction between autonomous agents
A biologically inspired approach to learning spatio-temporal patterns
Look and learn: A model of gaze-contingent learning
Making a robotic scene representation accessible to feature and label queries
Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture
A study of hybrid Virtual Fixtures in assistive path following problems
A computational model for vocal exchange dynamics and their development in marmoset monkeys
Inverse reinforcement learning using Dynamic Policy Programming
Evolution of robot-to-robot nurturing and nurturability
OpenEyeSim - A platform for biomechanical modeling of oculomotor control
Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling
Simultaneous motor and sensory learning for imitation
A unified model of the joint development of disparity selectivity and vergence control
Learning spatial relations between objects from 3D scenes
Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences
A generative probabilistic framework for learning spatial language
A usage-based model for the online induction of constructions from phoneme sequences
Representations of body schemas for infant robot development
The role of contrast sensitivity in the development of binocular vision: A computational study
Use of speech and motion cues for bootstrapping complex action learning in iCub
Babybot challenge: Motor skills
Emergence of flexible prediction-based discrete decision making and continuous motion generation through actor-Q-learning
Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto
Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2019, Oslo, Norway, August 19-22, 2019
Fast Developmental Stereo-Disparity Detectors
4th International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EPIROB 2014, Genoa, Italy, October 13-16, 2014
A Deep Convolutional Neural Network Model for Sense of Agency and Object Permanence in Robots
Emergence of higher-order transitivity across development: The importance of local task difficulty
Markerless online stereo calibration for a humanoid robot
Prediction error minimization for emergence of altruistic behavior
Neural-dynamic architecture for looking: Shift from visual to motor target representation for memory saccades
Active exploration for body model learning through self-touch on a humanoid robot with artificial skin
Exploration strategies for incremental learning of object-based visual saliency
Learning to be attractive: Probabilistic computation with dynamic attractor networks
Studying the co-construction of interaction protocols in collaborative tasks with humans
Learning geometry from sensorimotor experience
Salience-based reinforcement of a spiking neural network leads to increased syllable production
Modeling robot co-representation: state-of-the-art, open issues, and predictive learning as a possible framework
Contingency scaffolds language learning
Analysis of How Personality Traits Affect Children's Conversational Play with an Utterance-Output Device
Picture completion reveals developmental change in representational drawing ability: An analysis using a convolutional neural network
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action
13-year-olds approach human-robot interaction like adults
An expected motion information model of salience for active cameras
The Sound of Actuators: Disturbance in Human - Robot Interactions?
Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions?
Ignorance is bliss: A complexity perspective on adapting reactive architectures
Building representations of proto-objects with exploration of the effect on fixation times
A model of the headturn preference procedure: Linking cognitive processes to overt behaviour
Curriculum goal masking for continuous deep reinforcement learning
Developmental Reinforcement Learning through Sensorimotor Space Enlargement
Reward-driven learning of sensorimotor laws and visual features
Attentional constraints and statistics in toddlers' word learning
Understanding the cognitive mechanisms underlying autistic behavior: a recurrent neural network study
The development of cooperation in evolving populations through social importance
Exploring movement qualities in reciprocal engagement
Emerging social awareness: Exploring intrinsic motivation in multiagent learning
Grounded representations through deep variational inference and dynamic programming
Estimating dynamic properties of objects from appearance
A cognitive basis for theories of intrinsic motivation
How development in the Bayesian brain facilitates learning
Intention inference learning through the interaction with a caregiver
Studying human behavior from infancy: On the acquisition of infant postural data
Behavioral Repertoire via Generative Adversarial Policy Networks
The interaction of maturational constraints and intrinsic motivations in active motor development
Robots as social mediators for children with Autism - A preliminary analysis comparing two different robotic platforms
A Cognitive Architecture for Socially Adaptable Robots
Testing piaget's ideas on robots: Assimilation and accommodation using the semantics of actions
Dynamical self-consistency leads to behavioral development and emergent social interactions in robots
Phonetic analysis of a computational model for vocabulary acquisition from auditory inputs
Emergence of color constancy illusion through reinforcement learning with a neural network
Adaptive joint trajectory generator based on a chaotic recurrent neural network
Replication of Infant Behaviours with a Babybot: Early Pointing Gesture Comprehension
Adaptation capability of cognitive map improves behaviors of social robots
A predictive coding model of representational drawing in human children and chimpanzees
Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems
The effects on adaptive behaviour of negatively valenced signals in reinforcement learning
Learning at the ends: From hand to tool affordances in humanoid robots
Learning to predict action outcomes in continuous, relational environments
A neural dynamic model of associative two-process theory: The differential outcomes effect and infant development
Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment
Grounded lexicon acquisition - Case studies in spatial language
A developmental Bayesian model of trust in artificial cognitive systems
Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism
On robots imitating movements through motor noise prediction
ASP+POMDP: Integrating non-monotonic logic programming and probabilistic planning on robots
SEDRo: A Simulated Environment for Developmental Robotics
Learning proprioceptive and motor features
How do I sound like? forward models for robot ego-noise prediction
PSchema: A developmental schema learning framework for embodied agents
VIRCO: A virtual reality tool for long-term training and evaluation of the cognitive skills development in an interactive sensory substitution environment
The Need for MORE: Need Systems as Non-Linear Multi-Objective Reinforcement Learning
Towards hierarchical curiosity-driven exploration of sensorimotor models
Workshop: Pathways of cognitive development
Learning how to speak: Imitation-based refinement of syllable production in an articulatory-acoustic model
Progressive learning of sensory-motor maps through spatiotemporal predictors
Vocal interactions at the dawn of communication: The emergence of mutuality and complementarity in mother-infant interaction
Action co-representation during task sharing and sensorimotor experience: A comparison study between Human-Human and Human-Robot interaction
Echo in a small-world reservoir: Time-series prediction using an economical recurrent neural network
One step at a time: Multimodal interfaces and children's executive functioning
Multimodal space representation driven by self-evaluation of predictability
Using recurrence plots to visualize the temporal dynamics of tutor/student interactions
An infant inspired model of reaching for a humanoid robot
Motor experience alters action perception through predictive learning of sensorimotor information