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1 The INRIA Robotics Teams Propose a Large-Scale Initiative Action “Personally Assisted Living” March 18, 2009.

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Presentation on theme: "1 The INRIA Robotics Teams Propose a Large-Scale Initiative Action “Personally Assisted Living” March 18, 2009."— Presentation transcript:

1 1 The INRIA Robotics Teams Propose a Large-Scale Initiative Action “Personally Assisted Living” March 18, 2009

2 2 LSIA Personally Assisted Living “The aim of the Large-scale Initiative Actions Program is to achieve a specific level of scale for a research subject identified by the Institute with a direct link to its strategic plan and the defined milestones.” Assistance and Service Robotics in a Human Environment Independence for the Elderly and Disabled INRIA Strategic Plan Key Challenges Environment Public Places Private Places People

3 3 Our Motivations Other international initiatives Co-Mobility, Japan, (Prof Kawashima, Keio Univ.) Development of communication and mobility aids for the elderly, specifically in rural areas. Quality of Life Technology (QoLT), USA, (Takeo Kanade, Carnegie Mellon and the Univ. of Pittsburgh) “Enable people who are aging and persons with disabilities to independently participate in the community” Gather expertise of teams in a common action Be leaders in Service Robotics emerging technology Be part of international initiatives Impact society with assistance robots Preserve autonomy of elderly in ageing population Help disabled people everyday life

4 4 Actors: 12 INRIA Teams Involvement Level Full participation (will drive the LSIA): 7 teams Task participation: 3 teams Light participation (information + share expertise): Cortex + Demar Pulsar Prima Flower Imara Maia Bipop Mobility Perception Understanding Interface Interaction Manipulation E-motion Lagadic Arobas Coprin Modeling Localization Navigation Communication Uncertainties

5 5 Actors: External Participants Field Experts: Key actors 2. Service Prescribers 1. User Associations 3. Installer Services Distributors Industrial partners Drive/Validate proposed actions Architect Sociologist Urban planner Doctor Gerontologist Physiotherapist … External Research Partners National or International Teams Provide Expertise in complementary area

6 6 Call for Scenarios 1.Implication of Field Experts 2.Cooperation between Teams 3.Scientific impacts 4.Strategy of Integration Propositions should underline… Scenarios are open … 1.Within the area of the 2 Inria Milestones 2.To external team collaboration 3.To incomplete partnership - call for new participant - new research challenge Validation through the run of full-scale # scenarios Limits on the LSIA scientific areas Significant and Relevant Applications Enrollment of Complementary Teams Emergence of New Challenges

7 7 Simple Scenario Example “An elderly falls at home. His health condition is checked and possibly his mobility is restored” Lift Assistance: Coprin, Lagadic “His health condition is checked” “An elderly falls at home” “possibly his mobility Is restored” Splitting in Service Objects Localization, map builder, 1+ mobile robot : Arobas, Maia Check emotions : Flowers Preliminary diagnostic : Gerontologist, E-motion health diagnostic with appropriate sensors Lagadic, E-motion, Bipop Outdoor scenario (Arobas, Imara, Lagadic, Maia …) the diagnostic detect a problem Drive the elderly to hospital Intelligent Building Elderly monitoring Prima, Pulsar, Maia

8 8 Summary covers the scientific part of selected scenarios Internship, Doc, Post-Doc LSIA Large Scale Initiative Action ADT Technological Development actions will cover the implementation of the LSIA results Local and National Platforms Key Issues - Close collaboration between Robotics Teams and Field expert - Appropriated and efficient integration of solutions

9 9 Teams expertise 1.Arobas: Advanced perception systems, localization and map building, sensor-based control, autonomous navigation, mobile manipulator coordination, control of critical systems 2.Bipop: Mobility, Interface, Core technologies 3.Coprin: Appropriate Design, Interface Devices, Robotics Assistance, Manipulation 4.E-motion: Open & dynamic environments, Reasoning under uncertainty, Robust perception & navigation, Modeling & Learning Behaviors 5.Flower: Interface, Interaction, understanding 6.Imara: Signal processing, Control of the vehicle, Communications, Modeling, Control and optimisation of transport systems 7.Lagadic: Computer vision, visual servoing 8.Maia: Swarm robotics, Elderly monitoring (environmental, biological sensors), Cognitive robotics 9.Prima: Distributed Perception of Human Activity, Active Environments, Interactive Environments, Situation Understanding 10.Pulsar: Perception, activity recognition, Elderly monitoring


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