Involved Projects

Current Projects: (2013-2014...)


Anti-personnel landmines and unexploded ordnance (UXOs) present an important obstacle to the transition from crisis to peace for war-affected countries. They threaten post-conflict development and welfare.
The objective of the TIRAMISU project is to provide the Mine Action community with a toolbox to assist in addressing the many issues related to Humanitarian Demining, thus promoting peace, national and regional security, conflict prevention, social and economic rehabilitation and post-conflict reconstruction.

Past Projects:

    Social Robot: (2011-2012)

    Social Robot

    Research Field: ICT for Health Care Systems

    Sponsors: FP7 (Marie Curie), grant agreement no.:285870

    Link to this project webpage


    The main goal of the proposed project is to provide an answer to the demographic change challenge, through knowledge transfer and the creation      of strategic synergies between the project's participating academia and industry regarding the development of an integrated Social Robotics system     (SocialRobot) for "Ageing Well".

   The work focuses on bringing together the Robotic and Computer Science fields by integrating state of the art Robotic and Virtual Social Care     Communities technologies and services to provide solutions to key issues of relevance for improved independent living and quality of life of elderly     people and efficiency of care.

   The SocialRobot development will be based on a "human centred approach" in which the elderly individual needs and requirements are met. The    project will give the opportunity to participating SMEs with excellent credit in their domain and peripheral European regions, to reach excellence and     compete with innovative products in the elderly care market, at European and International level.

    The major challenges to be addressed in the project include the adaptation of state of the art robotic mobile platforms and their integration with a      virtual collaborative social network to provide:

  1. Detection of individual needs and requirements related to ageing (e.g. physical mobility limitations or/and cognitive decline), and provision of support through timely involvement of care teams, consisting of different groups of people (family members, neighbours, friends) that collaborate dynamically and virtually; means independently of time and their physical locations; behaviour analysis to adapt social relationships and contexts of the elderly people as they age;
  2. Navigate indoors and unstructured environments and provide affective and empathetic user-robotic interaction, taking into account the capabilities of and acceptance by elderly users.

BACS: (2007-2010)

This project has been completed by 28th February 2010

Contemporary robots and other cognitive artifacts are not yet ready to autonomously operate in complex real world environments. One of the major reasons for this failure in creating cognitive situated systems is the difficulty in the handling of incomplete knowledge and uncertainty.

By taking up inspiration from the brains of mammals, including humans, the BACS project will investigate and apply Bayesian models and approaches in order to develop artificial cognitive systems that can carry out complex tasks in real world environments. The Bayesian approach will be used to model different levels of brain function within a coherent framework, from neural functions up to complex behaviors. The Bayesian models will be validated and adapted as necessary according to neuro-physiological data from rats and humans and through psychophysical experiments on humans. The Bayesian approach will also be used to develop four artificial cognitive systems concerned with (i) autonomous navigation, (ii) multi-modal perception and reconstruction of the environment, (iii) semantic facial motion tracking, and (iv) human body motion recognition and behavior analysis. The conducted research shall result in a consistent Bayesian framework offering enhanced tools for probabilistic reasoning in complex real world situations. The performance will be demonstrated through its applications to driver assistant systems and 3D mapping, both very complex real world tasks.