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Title RACE - Robustness by Autonomous Competence Enhancement
Reference ICT, grant no. 287752
PI Jianwei Zhang (project coordinator), Luís Seabra Lopes (local coordinator)
Participants Luís Seabra Lopes, Armando J. Pinho, Ana Maria Tomé
Funded by EU FP7
Global funding (€) 2,997,298€4,136,271.24 USD
RU funding (€) 419,600€579,048 USD
Starts 2011/12/01
Ends 2014/11/30

The overall aim of this project is to develop an artificial cognitive system able to build a high-level understanding of the world it inhabits by storing and exploiting appropriate memories of its experiences. Robot competence is obtained by abstracting and generalising from experiences, extending task planning and execution beyond preconceived situations. The project aims to produce the following key results:

  1. Robots capable of storing experiences in their memory in terms of multi-level representations connecting actuator and sensory experiences with meaningful high-level structures,
  2. Methods for learning and generalising from experiences obtained from behaviour in realistically scaled real-world environments,
  3. Robots demonstrating superior robustness and effectiveness in new situations and unknown environments using experience-based planning and behaviour adaptation.