Robot-Era

Robot-Era Robot-Era Duration: 01.01.2012 > 31.12.2015
The Robot-Era Project has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement num. 288899
FP7 - ICT - Challenge 5: ICT for Health, Ageing Well, Inclusion and Governance

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04 - Orebro University (ORU), Orebro, Sweden

BRIEF DESCRIPTION OF THE ORGANIZATION

Logo ORUÖrebro University (ORU) is one of the most expansive universities in Sweden with 17,000 students and 1,200 staff members, of which 106 are full professors. We have a turnover of over 95 MEuro. The University is taking an active part in the development of the region with strong contacts with industry and the community. Örebro university is represented in Robot-Era by the Center for Applied Autonomous Sensor Systems (AASS). AASS is one of the university’s strong research environments constituting Örebro University’s strategic research profile. AASS performs interdisciplinary research on autonomous sensor systems by exploiting the cooperation between three laboratories, respectively focusing on: intelligent control, learning systems, and mobile robotics. AASS has currently 12 tenured researchers and 17 PhD students as well as several visiting researchers and postdocs. AASS has gained world-wide reputation for its work on perceptual anchoring, on simultaneous localisation and mapping, on robotic olfaction, on cooperative robotics, and more recently on robots for elder care. AASS is a founding member of Robot-Valley – Sweden’s largest innovation-in-robotics effort.


MAIN TASKS WITHIN THE PROJECT

Within Robot-Era, ORU will lead WP3 (ambient intelligence infrastructure), building upon its existing communication and cooperation infrastructure (the PEIS Middleware) and its basic reasoning service layer, which will be extended to meet the specific needs of Robot-Era and of the user application scenarios. ORU will also contribute substantially to WP7 (system integration, dependability and standards) and WP8 (experimental sessions) by providing access to and expertise about intelligent robotic environments, namely the PEIS Homelaboratory and the Ängen senior residence facility.


PREVIOUS EXPERIENCE

AASS has hosted an EC Marie Curie Training Site (2000-2005) on advanced robotics, participated in the EC networks of Excellence PLANET, CLAWAR, EURON, AGENTLINK and Roberta-EU, and the FP6 STREP project DUSTBOT. Currently, AASS is partner in the FP7 IP projects HANDLE, GeRT and RUBICON, as well as AAL Joint Programme project ExCITE. AASS has also obtained eight research grants from the Swedish Research Council, which are regarded as highly prestigious in Sweden. Since 2004, AASS has studied the inclusion of robots in smart environments through its pioneering work on “PEIS Ecology” in cooperation with the Korean ETRI research institute. We have recently started to explore the applicability of the PEIS Ecology infrastructure to develop user-oriented technology for elderly care. AASS has participated in cross-cultural studies on the acceptability of robotics for elderly in cooperation with the National Research Council (ISTC Rome) in Italy.

 

CONTACT

Orebro University, Orebro, Sweden
School of Science and Technology
Tel: +46 19 303794
Fax: +46 19 303463

email: asaffio@aass.oru.se
website: www.aass.oru.se

 

PEOPLE

A. SaffiottiAlessandro Saffiotti (PhD in Applied Science from Université Libre de Bruxelles, Belgium) is full professor of computer science at Örebro University. He has previously been a researcher with the University of Pisa (I), SRI International (USA), and the Université Libre de Bruxelles (B). In 1998 he founded the AASS Mobile Robotics Lab, which he heads since then. Alessandro Saffiotti's research interests encompass artificial intelligence, autonomous robotics, and technology for elderly people.  He is the inventor of the notion of "Ecology of physically embedded intelligent systems", a new approach to include robotic technologies in everyday life.  This approach is currently applied to the domain of elderly assistance in the EU project Robot-Era. He edited a book and authored more than 130 research papers in international peer-reviewed journals and conferences. He has chaired many international events, and served as program co-chair for IJCAI-05, the premier international conference on Artificial Intelligence. He is involved in five EU FP7 projects, in several EU networks, and in many national projects.  He is a senior member of IEEE, and a member of AAAI and ECAI.

F. PecoraFederico Pecora Federico Pecora is an Assistant Professor in Computer Science at Örebro University, and is member of the Cognitive Robotic Systems Lab. He holds a PhD from the University of Rome "La Sapienza" and has been visiting scholar at CMU's Robotics Institute. His research area lies at the intersection of Artificial Intelligence (AI) and Robotics, with a focus on constraint-based algorithms for temporal and resource reasoning, automated context recognition, planning, scheduling, and meta-CSP techniques for integrated reasoning. In Robot-ERA, he applies these techniques to develop service-providing and proactive robotic systems and sensor-rich environments. He has headed the creation of the Ängen testbed environment, one of the two Robot-ERA test-sites, and is currently involved in four EU-funded projects and several national projects. He also coordinates Örebro University's International Master's in Robotics and Intelligent Systems.

M. Di RoccoMaurizio Di Rocco is a postdoc at the AASS Cognitive Robotic Systems laboratory, University of Orebro - Sweden. He holds a MSc  and a PhD in Computer Science both from  Roma Tre University, Rome.
His research interests encompass multi robot systems and sensor networks.
In particular, a relevant aspect of his activity concerns about distributed data-fusion and coordination algorithms in multi-robot frameworks.

Subhash SathyakeerthySubhash Sathyakeerthy is PhD researcher, at the Cognitive Robotic Systems Labs at AASS, Örebro University, Sweden. He has done his MS by Research, CSE with research area in robotics, from IIIT-Hyderabad, India. He has implemented database based robot middleware as part of his MS thesis.
His research interests include middleware for robots, continuous learning. Currently his research focus, as part of Robot-Era project, is to extend the PEIS middleware, developed at AASS, to encompass multiple robot ecology. The research in PEIS middleware focuses on providing efficient and robust communication mechanism between smart devices and robots in elder care facility. In general he strives towards better software infrastructure for robotic systems. It focuses on the challenges in communication, data management, computational requirement, algorithm development.

Page updated on 07/05/2012 by Administrator

Robot-Era

Implementation and integration of advanced Robotic systems and intelligent Environments in real scenarios for the ageing population