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Lecture 25

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Lecture 25

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  1. Lecture 25 Dimitar Stefanov

  2. Autonomous-Guided Wheelchairs Go-to-goal wheelchairs

  3. Wheelchair Control, based on Visual servoing of the head position Shirai Lab (1997-1998)

  4. Wheelchair Control, based on Visual servoing of the head position (continue)

  5. Wheelchair Control, based on Visual servoing of the head position (continue)

  6. TAO-1 Intelligent WheelchairApplied AI Systems Inc.

  7. TAO-1 Intelligent WheelchairMain characteristics • Infared and bump sensors • Automatic visual avoidance • Voice command response • Collision avoidance • Passage through a narrow corridor • Entry through a narrow doorway • Landmark based navigation

  8. TinMan intelligent wheelchair controllerMain characteristics • KISS Institute for Practical Robotics (KIPR) • supplemental wheelchair controller that can be retrofitted to existing wheelchairs • safely and independently operation a powered wheelchair by users who has partial visual impairment or brain damage, • sensors for obstacles detection

  9. TinMan intelligent wheelchair controller(continue)

  10. Light guidance system Dohi Lab

  11. Autonomous guided wheelchair Nagasaki University and Ube Technical College • uses existing ceiling lights • vision sensor (position) • azimuth sensor (orientation) • wheels angle rotation sensor (odometric information) • laser range sensor (obstacles detection) • position error: 0.35 m; • angular error: 17 degrees

  12. MAid project Research Institute for Applied Knowledge Processing FAW • robotic wheelchair for transport of elderly • semi-autonomous mode • autonomous mode • wheel encoders • fiber-optic gyroscope • sonar system • infrared sensors SICK

  13. Wheelesley Intelligent wheelchair

  14. Wheelesley(continue) • started at Wellesley College in 1995 (Holly Yanco) • Developed at the KISS Institute • moved to the MIT Artificial Intelligence Laboratory • interface EagleEyes system (EOG - electro-oculographic potential)

  15. Wheelesley EagleEyes system

  16. NavChairUniversity of Michigan

  17. NavChair(continue) • University of Michigan (Simon Levine, Johann Borenstein) • obstacle avoidance, follow walls • narrow doorway passage

  18. NavBeltUniversity of Michigan Device for guidance of blind people. NavBelt generates acoustic cues conveyed to the user via headphones.

  19. GuideCaneUniversity of Michigan Device for guidance of blind people. • Fully automatic ultrasonic sensor-based obstacle avoidance • Position information by combining odometry, compass, and gyroscope data

  20. Drive Assistant(cont)

  21. Drive Assistant(continue) • VTT Machine AutomationTampere, Finland • vehicle positioning and navigation • dead reckoning • differential GPS • passive transponders • natural landmarks in the environment • laser based navigation • part of the project FOCUS for the TIDE programme • ultrasonic sensors • M3S interface.

  22. SENARIO (1994)

  23. SENARIO(Ultrasonic sensors)

  24. SENARIO(continue) • Intelligence in the navigation systems of the powered wheelchair • Autonomous mode - "go to goal" commands • Obstacles and risks avoidance system.

  25. Intelligent wheelchair at the University of Notre Dame (1994)

  26. PAM - AID projectPersonal Adaptive Mobility Aid for the Infirm and Elderly Blind • Infrared proximity sensors • command bar with Braile code key • tone and voice feedback • outdoor navigation PLUS physically support • Labmate mobile base • Joystick • Polaroid sonar sensors

  27. HITOMI Yamanishi University (Japan) • “hitomi” = pupil • outdoor navigation PLUS physically support • vision system • sonar system • DGPS and digital map • voice MMI • command bar with Braille code key.