Project description
Cognitive Systems and Robotics
Working together to assess real-life urban disaster sites
NIFTi investigates how natural behavior in human-robot cooperation can arise. The project operationalizes natural cooperation as balancing operational and cooperation demands in a cognitive architecture (CA), to minimize human cognitive task load and optimize joint work flow. The CA combines projections with cognitive user models and plans to predict why changes in human behavior (due to attention, task load) may occur. The CA uses these predictions to anticipate how it should adapt acting and communication to align with the human. NIFTi focuses on cooperation in the USAR (urban search and rescue) domain, to restrict what actions, forms of communication and user aspects need to be taken into account.
NIFTi puts the human factor into cognitive architectures. NIFTi investigates how natural behavior in human-robot cooperation can arise. NIFTi operationalizes natural cooperation as balancing operational and cooperation demands in a cognitive architecture (CA), to minimize human cognitive task load and optimize joint work flow.
NIFTi designs CAs by closely coupling cognitive user models to how the architecture understands the environment, how it performs actions, how it communicates. The architecture acquires maps which combine perceptual- and conceptual information. These maps capture where what is in the environment, and project this to how acting is affected. The CA combines projections with cognitive user models and plans to predict why changes in human behavior (due to attention, task load) may occur. The CA uses these predictions to anticipate how it should adapt acting and communication to align with the human. The CA bases planning and execution in a cognitive control model. Control uses attention, characteristics of agent morphology, and skill acquisition, to guide autonomous action execution in a cooperative context. The CA achieves balance by actively interconnecting content across modules. Content in modules is not isolated. In the NIFTi CA design, controllers interconnect content across modules, percolating content changes throughout the CA. Changes guide processing in a module; interconnectivity ensures behavior changes coherently system-wide. Controllers are learnt off- and online, using reinforcement learning and statistical (relational) learning.
Adapting to a human thus permeates the entire architecture. NIFTi focuses on cooperation in the USAR domain, to restrict what actions, forms of communication, and user aspects need to be taken into account. USAR end users join NIFTi to yearly evaluate its approach in real settings, using an integrated CA on a new robot with adaptive active/passive locomotion to jointly explore a disaster area.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
- social sciences psychology ergonomics
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2009-4
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
67663 Kaiserslautern
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.