2012 SENSOTICS


FP7-ICT-2011-9 - Challenge 2: Cognitive systems and Robotics - Objective 2.1: Cognitive Systems and Robotics - Outcome: b) Cognition and control in complex systems

Funding scheme: IP - Deadline: 17 April 2012

Proposal ID: 600615 (internal reference number: SEP-210004003)

 

SENSOTICS

Artificial Sensing Intelligence framework and platform, for embodying perception capacities, self-learning abilities, cognition and adaptation faculties, and functional reaction capabilities into robots acting in real/virtual worlds

 

 

Name of the coordinating person: Ferran Cabrer i Vilagut. Email: Ferran.Cabrer @ MUFICATA.net

 

 

List of participants to be confirmed:

No.

Participant organisation name

Part. short name

Country

1

MUFICATA S.L.

MUF

ES

2

FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS

FOR

GR

3

UNIVERSITY OF KARLSRUHE. Research Centre for Information technologies

FZI

DE

4

German Research Centre for Artificial Intelligence (DFKI)

DFK

DE

5

UNIVERSITY OF NEWCASTLE

UNW

GB

6

NISSA TECH S.R.L.

NIS

RS

7

PAL-ROBOTICS S.L.

PAL

ES

 

 

Proposal abstract:

The proposed SENSOTICS project aims to design, develop, deliver and maintain an advanced Artificial Sensing Intelligence (ASI) framework and platform, for the development of industrial applications based on intelligent sensing entities and sensing events computing, for embodying awareness capacities into robots. As such, robots will be able to perceive the environment and their own status, interpret different situations and working conditions and react accordingly depending on the configurations of the general models and user's preferences.


This will be achieved enabling available and open technologies and developing a simplified ten-step perceiving/reasoning/acting process, a sensing event processing based on semantic-graphic-patterns analysis. These are needed to enable the collective development and sharing of the validated robot sensing experiences required for retraining the system.

 

Robot designers, maintainers, users, and ICT developers will develop, experiment, validate and demonstrate the features and performances for the development, implementation and deployment of two innovative robotic applications based on enhanced robot's cognition: 1) prevention of crisis and failures for improving robot serviceability and reliability and 2) controlling occupancy and comfort for reducing the energy consumption in buildings, experimenting in test-lab and assisting visitors in “Les Glories” shopping centre.