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Dr. Amy Loutfi AASS Mobile Robotics Laboratory University of Ö rebro, Sweden

From Industrial to Home Robotics. Dr. Amy Loutfi AASS Mobile Robotics Laboratory University of Ö rebro, Sweden amy.loutfi@tech.oru.se. www.aass.oru.se. What are Robots?.

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Dr. Amy Loutfi AASS Mobile Robotics Laboratory University of Ö rebro, Sweden

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  1. From Industrial to Home Robotics Dr. Amy Loutfi AASS Mobile Robotics Laboratory University of Örebro, Sweden amy.loutfi@tech.oru.se www.aass.oru.se

  2. What are Robots? The word ’robot’ comes from the Czech play ’Rossum’s Universal Robots’ (Karel Capek 1921) and means forced labor or serf. www.aass.oru.se/~ali Center for Applied Autonomous Systems, Örebro University

  3. What are Robots? Functional Fixed Program Suitable for specific tasks Limited Sensing Highly accurate and efficient www.aass.oru.se/~ali Center for Applied Autonomous Systems, Örebro University

  4. What are Robots? Multi-purpose Biologically Inspired? Adaptive Extensive Sensing Abilities. Communicative www.aass.oru.se/~ali Center for Applied Autonomous Systems, Örebro University

  5. Robots at home – most popular vision

  6. Robots at home – problems with this vision • Technological • understand the human • recognize objects • grasp • dexterous manipulation • position tracking • ... • ... • Socio-economical • will you accept this thing? • how much would you pay? • how will it grow tomorrow? • one size fits all: does it? • ... • ...

  7. Robots at home – an ecological vision

  8. Key points in the scenario • Many specialized robotic devices • Moving tables, cameras, manipulators, appliances, ... • Highly heterogeneous • Devices communicate and cooperate • Common communication and cooperation model • Complex abilities achieved through cooperation • Not by building a single “super-robot”

  9. Research at AASS with PEIS

  10. Research Contributions • Hardware and software developments • Development of middleware for communication • Integration of new devices (Tiny OS, gas sensors etc.)‏ • Information Fusion • Maintain coherent information about objects and persons. • Learning and Artificial Intelligence • Auto-configuration of devices. • Auto-adaptation of users.

  11. Robots at home – problems with this vision • Technological • understand the human • recognize objects • grasp • dexterous manipulation • position tracking • ... • ... • Socio-economical • will you accept this thing? • how much would you pay? • how will it grow tomorrow? • one size fits all: does it? • ... • ...

  12. Robots at home – problems with this vision • Intelligent homes & robotics have a large potential to assist the aging society. • Many solutions are either seen from the view of the engineers and technicians or from psychologists and behavioural scientists. • Absence of common techniques to test and validate our methods, particularly for robotics.

  13. HRI – Human Robot Interaction • Phase 1 – video sessions • Male vs. Female actors • Robot interface vs. None. • Interface on the actual robot. • 8 different scenarios • Results • A diverse group of healthy testpersons, • 65-80 years old. • Crosscultural evaluation. • Cooperation with – Pensionärsriksorganization (PRO), BSR ÖU, Teknik ÖU, Institute for Cognitive Science and Technology, Italian National Research Council. • Results completed April 28th 2008 • Phase 2 – Live Sessions

  14. Move from robots in controlled environments to robots in everyday scenarios. • Address current challenges in robotics by enhancing the environment. • Parrallel evaluations of user acceptance.

  15. Thank you

  16. Ubiquitous Robot Companion Program (Korea 2004-2008)‏ Physically Embedded Intelligent Systems Ecology Project. PEIS Ecology Project www.aass.oru.se/~peis

  17. PEIS Projects in Software Engineering

  18. PROJECT 1 – PEIS WEB INTERFACE

  19. PROJECT 1 – PEIS WEB INTERFACE • GUI only working in Linux with GTK • Not extendable to other OS or other devices • Create a Web Based Interface • To help we have a component called peiswebinterface that: • Accepts php requests and returns values in xml. • e.g http://peiswebinterface/tcpInt?req=list will return an xml like: • …. • <entry component=”TC” id =”3710” /> • <entry tuple=”use-robot-id” /> • … • E.g http://peiswebinterface/tcpInt?req=sub;id=3710;tuple=use-robot-id • Will return 9078

  20. Project 1 – PEIS Web Interface • Using this framework propose a way to make the tupleviewer a web-based interface. • You should be able to access text values as well as stream video feedback from the camera. • Should be useable even for a non-expert

  21. Project 2 – PEIS Object Recognition • Integrate State-of-the-Art Object Recognition Techniques in PEIS Room.

  22. Project 2 • Every year there is a competition for the best implementation of object recognition in a moving mobile robot Simple rules that must be followed for everyone: 1. Get a vocabulary of objects 2. Gather training data from google images 3. You explore/wander an area (i.e. obstacle avoidance) 4. Identify objects in the area that match your training set

  23. Your task: • Use the latest and winning results from the Semantic Robot Vision Challenge (http://www.semantic-robot-vision-challenge.org/) • Modularize the code and integrate into PEIS Components • Test the code on one of our robots.

  24. Project 3 – PEIS CEILING PAN TILT Pan tilt unit mounted in the ceiling Laser pointer as attachement Gumstix technology to communicate Wireless to any computer. Problem is to create an interface to teleoperate the pan-tilt unit.

  25. Project 3 – Your Task • Come up with different types of ”intuitive” interfaces for controlling the unit. • Implement different interfaces and integrate it with the pan-tilt device • Test each implementation with real people and provide a evaluation of which method is best.

  26. Your Task • Select two projects present proposals for each approx 10 min/project. • We (researchers at aass) will choose the best candidate proposal for each project. • We will select candidates based on: • Your understanding of the problem • Suggestion of the Solution • Suitability for completing the task

  27. Steps: • Find out all you can about the PEIS Ecology Project. • Read our publications www.aass.oru.se/~peis • Read our Wiki wiki.aass.oru.se -> AASS -> Mobile Robotics Lab ->Ecology of PEIS Project • Find out all you can about the different projects • Forming your proposal: • Problem • Solution • Competence –each member of the group and their role • Tuesday September 9th at 09:00 - presentations

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