APOLOGIES FOR CROSS-POSTING.

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 (http://www.journals.elsevier.com/robotics-and-autonomous-systems).

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 editorial:

Emerging spatial competences: From machine perception to sensorimotor intelligence
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 estimation
Cristian Axenie, Jörg Conradt

Deep unsupervised network for multimodal perception, representation and classification
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. Lilienthal

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