Your SlideShare is downloading. ×
Cisti10 pvalente-presentation-slides
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Cisti10 pvalente-presentation-slides

302
views

Published on

Published in: Education

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
302
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. A Multi-Agent Framework for Multi Agent Coordination of Intelligent Assistive g Technologies 5.ª Conferência Ibérica de Sistemas e Tecnologias de Informação 16-19 June 2010 Pedro Valente, Shabbir Hossain, Bjørn Grønbæk, Kasper Hallenborg and Luís Paulo Reis The Maersk Mc-Kinney Moller Institute, Odense, Denmark FEUP/LIACC – Artificial Intelligence and Computer Science Lab, Oporto, Portugal23 June 2010 1
  • 2. Outline•Part I – Welfare System • context+motivation+challanges context motivation challanges•Part II – Assistive technologies • S Service robots - vacuum cleaners i b t l • Location based systems - RTLS•Part III – Cleaning activity concept-proof•Part IV – DiscussionConclusion Part23 June 2010 2
  • 3. Part I context+motivation+challanges i i h ll23 June 2010 3
  • 4. Welfare System challenge • In the coming decades the elderly population will increase vastly at the same time as we will be short of hands in the health care sector. • Aging-in-place concept g g p p • “living where you have lived for many years, or living in a non-healthcare Percentage of the population aged 15+ providing informal care to a environment, using products, services and co-resident relative aged 60+ (1999) conveniences to allow or enable the elderly Labour to not have to move as circumstances of love change” • Three types of residential care for the Intimacy at a distance elderly (Denmark): •Home care; •Sheltered homes; •Nursing homes; Source: Huber et al. (2009, forthcoming) Own calculations based on Walker (1999).23 June 2010 4
  • 5. How modern technology can help…Support care staff;Free resources for nursing and care of the elders; gCreate synergy between legacy systems;Increasing elders quality of life;Remarks:•“Technology i and will b a major partner i th care of th elderly “T h l is d ill be j t in the f the ld land our health care system in the future.”• Is•“Is necessary to reinvent the concept of care through thedevelopment of technological solutions that manage some of thetasks in this sector and release some of the resources to humancare,care closeness and contact ” contact.23 June 2010 5
  • 6. IntelliCare Profile PartnersIntelliCare is a research project consortium supportedby the Danish Ministry of Science, since 2008.•The consortium consists of 12 partners • from different branches co-operating on several technological development projects and cross-disciplinary research projects.•Purpose of: • developing technological solutions and creating a common technological l tf t h l i l platform th t makes it possible t i t that k ibl to integrate t intelligent assistive technologies in the care sector.•IntelliCare focuses: • citizen s freedom/mobility, citizen’s freedom/mobility the sharing of knowledge and information amongst the carers as well as on the scarce resources.•The projects can be divided into three categories: The • cognitive support, information systems and robots.23 June 2010 6
  • 7. Part II -Assistive technologies- A i i h l i23 June 2010 7
  • 8. Service Robots – vacuum cleanersService robots and in particular cleaning •Commercial solutions:robots have great prospects in the care • P3 Robotic vacuum,sector considered the fact that they can y • Infinuvo Clean Mate,undertake various humdrum tasks that • Electrolux Trilobite,does not involve human beings. • IRobot Roomba, • IRobot Create (developer version). •iRobot Create: • Based on commercial vacuum cleaner robot version - iRobot Roomba; • Serial and Bluetooth communication; • Provide good robot platform for developers and students;23 June 2010 8
  • 9. Location based systems•Location information is one of the most •Technologies:important context information for • Infrared ;applications in general. g • Ultrasonic; • Active RFID;•The location of a user or a device might • UWB (Ultra-Wide-Band);seem to be simple information. • WaveLAN;•Can establish relations among people Can • Celular networks; Cel lar net orksor static objects. • Vision; • special technology: e.g. Load sensing, magnetic; •RTLS Commercial solutions: • Ekahau (WiFi) • Ubisense (UWB)23 June 2010 9
  • 10. Part III -Concept-proof experiment- C f i•Develop a solution that makes robot vacuum cleaners capable of Developcommunicating with: • each other, with other systems and with the outside world.•Between themselves these robots must be able to: • survey the area that needs to be vacuumed and to divide the workload, • receive information from the environment, environment • only move around in areas where they do not human presence.23 June 2010 10
  • 11. Experiment setup•Two robots clean one single room;•Use Ubisense and Irobot Create;•first iteration: • Robots need to navigate detecting and avoiding people and other robots; • Define collision safe zone behaviour; • AAcquire b i bump sensor d t t data, to create object room map;•Second iteration: • Transform first iteration into a MAS, usign JADE; • Create a cleaning ontology; • Define a Coordinate Agent;23 June 2010 11
  • 12. First Impressions•RTLS can be use for robot navigation;•RTLS can track robots, people orobjects, without extra configurations;•Ubisense configuration and setup aretime-consuming and not straightforward;•Coordination mechanism can beimprove by adding more agentintelligence;•Ontology extend commonunderstanding, in communication;•More sensors can b add to the M be dd t thsystem;23 June 2010 12
  • 13. Part IV -Conclusion- C l i23 June 2010 13
  • 14. Conclusion•MAS are a good software platformfoundation for this problem domain;•Is necessary to capture and create Isontology activity domain specific;•Representing users preferences andexpectations that reflects customizationand system adaptation need to be thecentral point.•Extend platform model providing tools Extendfor new solutions integration (interfaceagent).•still have a long way to go… IntelliCare Schema architecture23 June 2010 14
  • 15. Thank you for your attention Email: Pedro Valente prnv@mmmi.sdu.dk23 June 2010 15