[Comp-neuro] Special Issue on Emerging Spatial Competences: From Machine Perception to Sensorimotor Intelligence

Agostino Gibaldi agostino.gibaldi at unige.it
Wed Jul 15 11:23:39 CEST 2015


Dear Researcher,

we are very glad to inform you that the Special Issue “Emerging Spatial 
Competences: From Machine Perception to Sensorimotor Intelligence” 
(http://www.sciencedirect.com/science/journal/09218890) has been 
published on the Robotics and Autonomous System Journal 

The aim of this special issue is to survey a state of the art of 
methodologies, concepts, algorithms and techniques that would serve as 
bricks on which to build and develop artificial agents with such a 
spatial competence; perceptual and cognitive understanding of space 
should emerge from sensorimotor exercise.

The Special Issue includes 13 papers (acceptance rate 40%) plus the 

Emerging spatial competences: From machine perception to sensorimotor 
Agostino Gibaldi, Silvio P. Sabatini, Sylvain Argentieri, Zhengping Ji

Self-calibrating smooth pursuit through active efficient coding
C. Teulière, S. Forestier, L. Lonini, C. Zhang, Y. Zhao, B. Shi, J. Triesch

Learning the visual–oculomotor transformation: Effects on saccade 
control and space representation
Marco Antonelli, Angel J. Duran, Eris Chinellato, Angel P. del Pobil

Autonomous learning of disparity–vergence behavior through distributed 
coding and population reward: Basic mechanisms and real-world 
conditioning on a robot stereo head
Agostino Gibaldi, Andrea Canessa, Fabio Solari, Silvio P. Sabatini

A developmental where–what network for concurrent and interactive visual 
attention and recognition
Zhengping Ji, Juyang Weng

Learning agent’s spatial configuration from sensorimotor invariants
Alban Laflaquière, J. Kevin O’Regan, Sylvain Argentieri, Bruno Gas, 
Alexander V. Terekhov

Trainable sensorimotor mapping in a neuromorphic robot
Jörg Conradt, Francesco Galluppi, Terrence C. Stewart

Cortically inspired sensor fusion network for mobile robot egomotion 
Cristian Axenie, Jörg Conradt

Deep unsupervised network for multimodal perception, representation and 
Alain Droniou, Serena Ivaldi, Olivier Sigaud

Support relation analysis and decision making for safe robotic 
manipulation tasks
Rasoul Mojtahedzadeh, Abdelbaki Bouguerra, Erik Schaffernicht, Achim J. 

Model-free incremental learning of the semantics of manipulation actions
Eren Erdal Aksoy, Minija Tamosiunaite, Florentin Wörgötter

Human motion based intent recognition using a deep dynamic neural model
Zhibin Yu, Minho Lee

Hybrid learning model and MMSVM classification for on-line visual 
imitation of a human with 3-D motions
Chih-Lyang Hwang, Bo-Lin Chen, Hsing-Hao Huang, Huei-Ting Syu

Interfacing robotic tactile sensation with human vibrotactile perception 
for digit recognition
Anwesha Khasnobish, Shreyasi Datta, Dwaipayan Sardar, D.N. Tibarewala, 
Amit Konar

Cordially, the Guest Editors:

Agostino Gibaldi and Silvio P. Sabatini
Department of Informatics, Bioengineering, Robotics and System Engineering
PSPC Lab (www.pspc.unige.it), University of Genoa, Italy

Sylvain Argentieri
Institute for Intelligent Systems and Robotics (ISIR),
Sorbonne Universités, UPMC University, Paris 06, France

Zhengping Ji
Advanced Image Research Laboratory (AIRL),
Samsung, Pasadena, CA, USA
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