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The INRIA Robotics Teams Propose a Large-Scale Initiative Action “Personally Assisted Living”

The INRIA Robotics Teams Propose a Large-Scale Initiative Action “Personally Assisted Living”. March 18, 2009. LSIA Personally Assisted Living. “The aim of the Large-scale Initiative Actions Program is to achieve a specific level of scale for a

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The INRIA Robotics Teams Propose a Large-Scale Initiative Action “Personally Assisted Living”

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

  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.” INRIA Strategic Plan Key Challenges • Assistance and Service Robotics in a Human Environment • Independence for the Elderly and Disabled People Environment Public Places Private Places

  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”

  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 Interaction Flower Manipulation Interface Coprin Prima E-motion Modeling Understanding Pulsar Bipop Lagadic Maia Perception Uncertainties Imara Arobas Localization Communication Navigation Mobility

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

  6. Call for Scenarios 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 Scenarios are open … Propositions should underline… • Within the area of • the 2 Inria Milestones • To external team collaboration • To incomplete partnership • - call for new participant • - new research challenge • Implication of Field Experts • Cooperation between Teams • Scientific impacts • Strategy of Integration

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

  8. Summary LSIA Large Scale Initiative Action covers the scientific part of selected scenarios Internship, Doc, Post-Doc 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. Teams expertise Arobas: Advanced perception systems, localization and map building, sensor-based control, autonomous navigation, mobile manipulator coordination, control of critical systems Bipop: Mobility, Interface, Core technologies Coprin: Appropriate Design, Interface Devices, Robotics Assistance, Manipulation E-motion: Open & dynamic environments, Reasoning under uncertainty, Robust perception & navigation, Modeling & Learning Behaviors Flower: Interface, Interaction, understanding Imara: Signal processing, Control of the vehicle, Communications, Modeling, Control and optimisation of transport systems Lagadic: Computer vision, visual servoing Maia: Swarm robotics, Elderly monitoring (environmental, biological sensors), Cognitive robotics Prima: Distributed Perception of Human Activity, Active Environments, Interactive Environments, Situation Understanding Pulsar: Perception, activity recognition, Elderly monitoring

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