Table of Contents

• Explanation of the perceptual oblique effect based on the fidelity of oculomotor control during saccadesKhuong N. Nguyen, Xi Liu, Oleg Komogortsev, Ricardo Gutierrez-Osuna, Yoonsuck Choe. 15-20 [doi]
• Learning of active binocular vision in a biomechanical model of the oculomotor systemLukas Klimmasch, Alexander Lelais, Alexander Lichtenstein, Bertram E. Shi, Jochen Triesch. 21-26 [doi]
• Autonomous, self-calibrating binocular vision based on learned attention and active efficient codingQingpeng Zhu, Jochen Triesch, Bertram E. Shi. 27-32 [doi]
• A computational model of crossmodal processing for conflict resolutionGerman I. Parisi, Pablo V. A. Barros, Matthias Kerzel, Haiyan Wu, Guochun Yang, Zhenghan Li, Xun Liu, Stefan Wermter. 33-38 [doi]
• Curiosity-driven exploration enhances motor skills of continuous actor-critic learnerMuhammad Burhan Hafez, Cornelius Weber, Stefan Wermter. 39-46 [doi]
• An improved LPTC neural model for background motion direction estimationHongxin Wang, Jigen Peng, Shigang Yue. 47-52 [doi]
• Action recognition with unsynchronised multi-sensory dataDaniel Camilleri, Tony J. Prescott. 53-59 [doi]
• A scalable method for multi-stage developmental learning for reachingWolfgang Burger, Erhard Wieser, Emmanuel C. Dean-Leon, Gordon Cheng. 60-65 [doi]
• Imitation learning and attentional supervision of dual-arm structured tasksRiccardo Caccavale, Matteo Saveriano, Giuseppe Andrea Fontanelli, Fanny Ficuciello, Dongheui Lee, Alberto Finzi. 66-71 [doi]
• Enactive self: A study of engineering perspectives to obtain the sensorimotor self through enactionPablo Lanillos, Emmanuel C. Dean-Leon, Gordon Cheng. 72-78 [doi]
• Tapping the sensorimotor trajectoryOswald Berthold, Verena V. Hafner. 79-85 [doi]
• A sensorimotor account of visual and tactile integration for depth perception: An iCub robot experimentMartí Sánchez-Fibla, Clément Moulin-Frier, Paul F. M. J. Verschure. 86-91 [doi]
• Activity recognition in a physical interactive robogameEwerton L. S. Oliveira, Davide Orrù, Tiago Pereira do Nascimento, Andrea Bonarini. 92-97 [doi]
• Shape-based attention for identification and localization of cylindrical objectsRui Figueiredo, Atabak Dehban, Alexandre Bernardino, José Santos-Victor, Helder Araújo. 98-103 [doi]
• Development of reaching to the body in early infancy: From experiments to robotic modelsMatej Hoffmann, Lisa K. Chinn, Eszter Somogyi, Tobias Heed, Jacqueline Fagard, Jeffrey J. Lockman, J. Kevin O'Regan. 112-119 [doi]
• Self-organization based on auditory feedback promotes acquisition of babblingTomohiro Takimoto, Yuji Kawai, JiHoon Park, Minoru Asada. 120-125 [doi]
• Echo in a small-world reservoir: Time-series prediction using an economical recurrent neural networkYuji Kawai, Tatsuya Tokuno, JiHoon Park, Minoru Asada. 126-131 [doi]
• Predictive coding-based deep dynamic neural network for visuomotor learningJungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani. 132-139 [doi]
• Parallel reward and punishment control in humans and robots: Safe reinforcement learning using the MaxPain algorithmStefan Elfwing, Ben Seymour. 140-147 [doi]
• The effects on adaptive behaviour of negatively valenced signals in reinforcement learningNicolás Navarro-Guerrero, Robert J. Lowe, Stefan Wermter. 148-155 [doi]
• Unsupervised learning for spoken word production based on simultaneous word and phoneme discovery without transcribed dataYuusuke Miyuki, Yoshinobu Hagiwara, Tadahiro Taniguchi. 156-163 [doi]
• Comparative study of feature extraction methods for direct word discovery with NPB-DAA from natural speech signalsYuki Tada, Yoshinobu Hagiwara, Tadahiro Taniguchi. 164-171 [doi]
• An embodied incremental Bayesian model of cross-situational word learningSepideh Sadeghi, Matthias Scheutz, Evan A. Krause. 172-177 [doi]
• Intrinsically motivated discovered outcomes boost user's goals achievement in a humanoid robotKristsana Seepanomwan, Vieri Giuliano Santucci, Gianluca Baldassarre. 178-183 [doi]
• Understanding natural language sentences with word embedding and multi-modal interactionJunpei Zhong, Tetsuya Ogata, Angelo Cangelosi, Chenguang Yang. 184-189 [doi]
• A growing multi-expert structure for open-ended unsupervised learning of sensory state spacesMatthias Kubisch. 190-195 [doi]
• Developing grounded goals through instant replay learningLisa Meeden, Douglas S. Blank. 196-201 [doi]
• Data-driven generation of synthetic behavioral feature vectors modeling children with autism spectrum disordersKim Baraka, Francisco S. Melo, Manuela M. Veloso. 202-208 [doi]
• Agent-advising approaches in an interactive reinforcement learning scenarioFrancisco Cruz 0002, Peter Wuppen, Sven Magg, Alvin Fazrie, Stefan Wermter. 209-214 [doi]
• Syntactic reanalysis in language models for speech recognitionJohannes Twiefel, Xavier Hinaut, Stefan Wermter. 215-220 [doi]
• Computational models of tutor feedback in language acquisitionJens Nevens, Michael Spranger. 221-226 [doi]
• Epsilon-greedy babblingChyon Hae Kim, Kanta Watanabe, Shun Nishide, Manabu Gouko. 227-232 [doi]
• Local over-connectivity reduces the complexity of neural activity: Toward a constructive understanding of brain networks in patients with autism spectrum disorderKoki Ichinose, JiHoon Park, Yuji Kawai, Junichi Suzuki, Minoru Asada, Hiroki Mori. 233-238 [doi]
• Online-learning and planning in high dimensions with finite element goal babblingPontus Loviken, Nikolas Hemion. 247-254 [doi]
• Social reinforcement in intrinsically motivated sensorimotor exploration for embodied agents with constraint awarenessJuan M. Acevedo-Valle, Verena V. Hafner, Cecilio Angulo. 255-262 [doi]
• Pain and self-preservation in autonomous robots: From neurobiological models to psychiatric diseaseLuca Piccolo, Fabio Dalla Libera, Andrea Bonarini, Ben Seymour, Hiroshi Ishiguro. 263-270 [doi]
• Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experimentHayato Idei, Shingo Murata, Yiwen Chen, Yuichi Yamashita, Jun Tani, Tetsuya Ogata. 271-276 [doi]
• Grounded representations through deep variational inference and dynamic programmingJuan Sebastian Olier, Emilia I. Barakova, Matthias Rauterberg, Lucio Marcenaro, Carlo S. Regazzoni. 277-282 [doi]
• Learn, plan, remember: A developmental robot architecture for task solvingAlexandre Antunes, Giovanni Saponaro, Anthony F. Morse, Lorenzo Jamone, José Santos-Victor, Angelo Cangelosi. 283-289 [doi]
• An egocentric perspective on active vision and visual object learning in toddlersSven Bambach, David J. Crandall, Linda B. Smith, Chen Yu. 290-295 [doi]
• Building representations of proto-objects with exploration of the effect on fixation timesRaphael Braud, Alexandros Giagkos, Patricia Shaw, Mark H. Lee, Qiang Shen. 296-303 [doi]
• Incremental online learning of objects for robots operating in real environmentsJose L. Part, Oliver Lemon. 304-310 [doi]
• DeepEfference: Learning to predict the sensory consequences of action through deep correspondenceE. Jared Shamwell, William D. Nothwang, Donald Perlis. 311-317 [doi]
• On robots imitating movements through motor noise predictionAntonio Pico, Guido Schillaci, Verena V. Hafner, Bruno Lara. 318-323 [doi]
• Embodied artificial intelligence through distributed adaptive control: An integrated frameworkClément Moulin-Frier, Jordi-Ysard Puigbo, Xerxes D. Arsiwalla, Martí Sánchez-Fibla, Paul F. M. J. Verschure. 324-330 [doi]
• Learning at the ends: From hand to tool affordances in humanoid robotsGiovanni Saponaro, Pedro Vicente, Atabak Dehban, Lorenzo Jamone, Alexandre Bernardino, José Santos-Victor. 331-337 [doi]
• Structure from plenoptic imagingSimão Graca Marto, Nuno Barroso Monteiro, João Pedro Barreto 0001, José António Gaspar. 338-343 [doi]
• A deep reinforcement learning based model supporting object familiarizationMaximilian Panzner, Philipp Cimiano. 344-349 [doi]
• Unsupervised learning-based semantic scene recognition and boundary visualization on category mapsHirokazu Madokoro, Kazuhito Sato, Kazuhisa Nakasho, Nobuhiro Shimoi. 350-355 [doi]
• Experiential robot learning with deep neural networksAhmed A. Aly, Joanne Bechta Dugan. 356-361 [doi]
• Autonomous object modeling and exploiting: A new approach based on affordances from continual interaction with environmentSimon L. Gay, Alain Mille, Amélie Cordier. 362-367 [doi]
• Iterative affordance learning with adaptive action generationCarlos Maestre, Ghanim Mukhtar, Christophe Gonzales, Stéphane Doncieux. 368-375 [doi]
• A generative framework for multimodal learning of spatial concepts and object categories: An unsupervised part-of-speech tagging and 3D visual perception based approachAmir Aly, Akira Taniguchi, Tadahiro Taniguchi. 376-383 [doi]
• Synchronisation and desynchronisation as important elements for the development of interaction capabilitiesEva Ansermin, Philippe Gaussier, Antoine de Rengervé, Chilès Mostafaoui, Ludovic Marin. 384-390 [doi]
• Visual 3D tracking of child-adult social interactionsEunji Chong, Audrey Southerland, Abhijit Kundu, Rebecca M. Jones, Agata Rozga, James M. Rehg. 399-406 [doi]
• Towards temporal cognition for robots: A neurodynamics approachWeronika Wojtak, Flora Ferreira, Luis Louro, Estela Bicho, Wolfram Erlhagen. 407-412 [doi]