[robotics-worldwide] [journals][CALL FOR PAPERS] First Call: Special Issue on Sensorimotor Contingencies for Cognitive Robots

Cecilio Angulo cecilio.angulo at upc.edu
Wed Jan 20 23:38:57 PST 2016

[Apologies for multiple postings of this announcement]


IEEE Transactions on Cognitive and Developmental Systems
Special Issue on Sensorimotor Contingencies for Cognitive Robotics

The sensorimotor approach to cognition states that the key to bring 
semantics to the world of a robot requires making the robot learn the 
relation between the actions that the robot performs and the change it 
experiences in its sensed data because of those actions. Those relations 
are called sensorimotor contingencies (SMC). The SMC approach breaks 
completely the classic sense-plan-act pipe that rules most of today's 
autonomous robots, by mixing sensation with action,
aiming to bridge the gap between symbolic data and semantics for robots. 
The goal of bringing SMCs to robotics is to build robots with a more 
robust behavior in real environments.

In order to have robots outside of controlled environment, we need 
robots that understand their own environments, and it looks like a way 
to achieve this is by making the robot build by itself the SMCs that are 
common to every environment. Having robots that can generate such laws, 
will allow them to understand the world they are immersed, and make them 
by hence, more robust in real environments.

There is a lot of literature that describes SMC models but just a few 
provide a formalization and even less, apply the formalization to real 
robots. With this issue, we want to stress the necessity of validating 
the theory on real robots, in order to produce more robust robots.

The subjects of the special issue include, but are not limited to:
# How can we build a robot based on SMCs?
# How can a robot build (semantic) concepts by itself through SMCs 
# How can a robot use built concepts to solve tasks?
# How can concepts scale and create more complex (abstract) concepts?
# Is embodiment required for the creation of concepts? Up to which level?
# How much pregiven knowledge is required in a robot to create concepts?
# How can a robot be more robust (work properly in real-life 
environments) by being based in SMCs?

Papers submitted must have not been published previously, though they 
may represent significant extensions of prior work. All papers will be 
reviewed in accordance with IEEE policy.

The guest editors of this special issue:
# Ricardo Téllez, Spanish National Research Council (CSIC), Spain
# Guillem Alenyà, Spanish National Research Council (CSIC), Spain
# Cecilio Angulo, Technical University of Catalonia, Spain
# Kevin O'Regan, National Center for Scientific Research, France

Important dates:
# Submission deadline: March 31, 2016
# Notifications and reviews to authors: June 30, 2016
# Final camera ready version submission: August 31, 2016

Special issue to appear: Early 2007

Cecilio Angulo
Universitat Politècnica de Catalunya · UPC BarcelonaTECH
Coordinator Master's degree in Automatic Control and Robotics
ESAII Dept. Associate Professor. GREC Research Group's Leader
Building U - Office 506. Pau Gargallo 5. 08028 Barcelona, Spain
Tel. +34 9340 16976. Fax. +34 9340 17045

More information about the robotics-worldwide mailing list