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8th ICDL-EPIROB 2018: Tokyo, Japan
- 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2018, Tokyo, Japan, September 17-20, 2018. IEEE 2018
- Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano
:
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning. 1-6 - Michaël Garcia Ortiz, Alban Laflaquière:
Learning Representations of Spatial Displacement through Sensorimotor Prediction. 7-12 - Stefan Heinrich
Adaptive and Variational Continuous Time Recurrent Neural Networks. 13-18 - Alexandre Antunes, Alban Laflaquière, Angelo Cangelosi:
Solving Bidirectional Tasks using MTRNN. 19-25 - Nino Cauli
Autonomous table-cleaning from kinesthetic demonstrations using Deep Learning. 26-32 - Matthieu Zimmer
Developmental Reinforcement Learning through Sensorimotor Space Enlargement. 33-38 - Jeffrey Frederic Queißer, Barbara Hammer
Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto. 39-45 - Gianluca Baldassarre
Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments. 46-53 - Melisa Idil Sener, Emre Ugur
Partitioning Sensorimotor Space by Predictability Principle in Intrinsic Motivation Systems. 54-59 - Alban Laflaquière:
A Sensorimotor Perspective on Grounding the Semantic of Simple Visual Features. 60-65 - Chie Hieida
Toward Empathic Communication: Emotion Differentiation via Face-to-Face Interaction in Generative Model of Emotion. 66-71 - Alexander Schulz, Jeffrey Frederic Queißer, Hisashi Ishihara, Minoru Asada:
Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto. 72-77 - Xingxing Guo, Quan Liu, Jie Zuo, Wei Meng
A Novel Pneumatic Artificial Muscle -driven Robot for Multi-joint Progressive Rehabilitation. 78-83 - Anja Philippsen
Understanding the cognitive mechanisms underlying autistic behavior: a recurrent neural network study. 84-90 - Cristina Melício, Rui Figueiredo
Object detection and localization with Artificial Foveal Visual Attention. 101-106 - Paresh Dhakan, Kathryn Elizabeth Merrick, Iñaki Rañó, Mia Nazmul Haque Siddique:
Modular Continuous Learning Framework. 107-112 - Md Mohiuddin Khan
Intrinsically Motivated Agent Behavior in a Swarm. 113-118 - Rodrigo Zenha, Pedro Vicente
Incremental adaptation of a robot body schema based on touch events. 119-124 - Nina-Alisa Hinz
Drifting perceptual patterns suggest prediction errors fusion rather than hypothesis selection: replicating the rubber-hand illusion on a robot. 125-132 - Yihan Zhang, Yukie Nagai:
Proprioceptive Feedback Plays a Key Role in Self-Other Differentiation. 133-138 - Jacques Kaiser, Gerd Lindner, Juan Camilo Vasquez Tieck
Microsaccades for asynchronous feature extraction with spiking networks. 139-146 - Dingsheng Luo, Mengxi Nie, Tao Zhang, Xihong Wu:
Developing Robot Reaching Skill with Relative-Location based Approximating. 147-154 - Ahmet Ercan Tekden, Emre Ugur
Modeling the Development of Infant Imitation using Inverse Reinforcement Learning. 155-160 - Maxime Petit, Amaury Depierre, Xiaofang Wang, Emmanuel Dellandréa, Liming Chen:
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning. 161-168 - Yuheng Wu, Kuniyuki Takahashi, Hiroki Yamada, Kitae Kim, Shingo Murata, Shigeki Sugano
Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images. 169-174 - Jiexin Wang, Stefan Elfwing, Eiji Uchibe:
Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture. 175-180 - Qingsong Ai, Lei Wang, Kun Chen, Anqi Chen, Jiwei Hu, Yilin Fang, Quan Liu, Zude Zhou:
Cooperative Control of An Ankle Rehabilitation Robot Based on Human Intention. 181-186 - Yuji Kawai, Tomohiro Takimoto, Jihoon Park, Minoru Asada:
Efficient Reward-Based Learning through Body Representation in a Spiking Neural Network. 191-196 - Julien Abrossimoff, Alexandre Pitti, Philippe Gaussier:
Visual Learning for Reaching and Body-Schema with Gain-Field Networks. 197-203 - Matthias Rolf, Nigel T. Crook
From social interaction to ethical AI: a developmental roadmap. 204-211 - Junko Kanero
Who Can Benefit from Robots? Effects of Individual Differences in Robot-Assisted Language Learning. 212-217 - Vicky Charisi, Cynthia C. S. Liem
Novelty-based cognitive processes in unstructured music-making settings in early childhood. 218-223 - Tadahiro Taniguchi, Yuta Fukusako, Toshiaki Takano:
Bayesian Noisy Word Clustering through Sampling Prototypical Words. 224-231 - Joanna Raczaszek-Leonardi
Ungrounding symbols in language development: implications for modeling emergent symbolic communication in artificial systems. 232-237 - Ryo Ozaki, Tadahiro Taniguchi:
Accelerated Nonparametric Bayesian Double Articulation Analyzer for Unsupervised Word Discovery. 238-244 - Murat Kirtay, Lorenzo Vannucci, Ugo Albanese, Egidio Falotico
Multimodal Sensory Representation for Object Classification via Neocortically-inspired Algorithm. 245-250 - Qingpeng Zhu, Chong Zhang, Jochen Triesch, Bertram E. Shi
Autonomous learning of cyclovergence control based on Active Efficient Coding. 251-256 - Claus Lang, Guido Schillaci
A Deep Convolutional Neural Network Model for Sense of Agency and Object Permanence in Robots. 257-262 - Antonio Pico Villalpando, Guido Schillaci
Predictive Models for Robot Ego-Noise Learning and Imitation. 263-268 - Silvia Pagliarini, Xavier Hinaut
A bio-inspired model towards vocal gesture learning in songbird. 269-274 - Miki Hirabayashi, Hirotada Ohashi:
Critical Brain Hypotheses on the Emergence of Cognitive Functions in Simple Circuits for Backward Time Perception. 275-280 - Xavier Hinaut
Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions? 281-286
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