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PRESENTED BY
           D.KAVITHA
           III BE ECE
JAYARAM ENGINEERING COLLEGE OF
         TECHNOLOGY
 Developed at the University Bermen’s Institute of
  Automation(IAT)
 Offers increased control functionality for the

  disabled users
 Robot arm MANUS was specially designed for

  people with upper-limb impairments
 Electric wheelchair
 Robot arm MANUS
 Dual Pentium PC
 CAN-bus
 RS-232 interface
 Tray and flat LCD display
 Mini camera
 Speech recognition software
 Arm controller
THE ROBOTICS SYSTEM FRIEND
ARCHITECTURE OF THE SYSTEM
FRIEND
   Programming may be done using either
         Teach-in procedure
         Robot Programming by Demonstration(RPD)


   Control
         By user
         Autonomous control by the system
 Programmer demonstrates task to be executed
  with his own hand
 Motions are measured, recorded and processed
 Measurements are not used in simple pick and

  place
 Used to execute complex trajectories without

  difficulty inspite of variable initial conditions
DEMONSTRATION
POURING A GLASS
EXPERIMENTAL RESULTS
 FRIEND uses a grasp utility- labeled objects
 Visual servoing with a gripper-mounted camera is

  used along with TbS
 To grasp the same object the gripper is moved to

  taught grasp position.
 It may be manually done or automatically done.
START AND END OF PICK ACTION
 Computes the change in position of the robot
 In new position control algorithm is used to reach

  the taught relative position
 A controller must

     Drive the gripper from any reasonable starting
      position to the gripping position
     Must ensure that the object marker remains in the
      image during the motion
Positioning the wheelchair too   Grasping without collision from a
 close to the object causes       surface (optimal) wheelchair
   collision with the shelf.                location.
 Laborious
 Time delay in speech recognition system

 Improvement arises with semi-autonomous

  actions
 Research and development is still required

 Future work will focus on

      Analysis and implementation of semiautonomous
       actions
      Simplification of MMI
      Improvement of the safety functions
Thank You
Queries???

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Robotics a friend for assisting handicapped people-(s.surya,s.vidhya)

  • 1. PRESENTED BY D.KAVITHA III BE ECE JAYARAM ENGINEERING COLLEGE OF TECHNOLOGY
  • 2.  Developed at the University Bermen’s Institute of Automation(IAT)  Offers increased control functionality for the disabled users  Robot arm MANUS was specially designed for people with upper-limb impairments
  • 3.  Electric wheelchair  Robot arm MANUS  Dual Pentium PC  CAN-bus  RS-232 interface  Tray and flat LCD display  Mini camera  Speech recognition software  Arm controller
  • 5. ARCHITECTURE OF THE SYSTEM FRIEND
  • 6. Programming may be done using either  Teach-in procedure  Robot Programming by Demonstration(RPD)  Control  By user  Autonomous control by the system
  • 7.  Programmer demonstrates task to be executed with his own hand  Motions are measured, recorded and processed  Measurements are not used in simple pick and place  Used to execute complex trajectories without difficulty inspite of variable initial conditions
  • 11.  FRIEND uses a grasp utility- labeled objects  Visual servoing with a gripper-mounted camera is used along with TbS  To grasp the same object the gripper is moved to taught grasp position.  It may be manually done or automatically done.
  • 12. START AND END OF PICK ACTION
  • 13.  Computes the change in position of the robot  In new position control algorithm is used to reach the taught relative position  A controller must  Drive the gripper from any reasonable starting position to the gripping position  Must ensure that the object marker remains in the image during the motion
  • 14. Positioning the wheelchair too Grasping without collision from a close to the object causes surface (optimal) wheelchair collision with the shelf. location.
  • 15.  Laborious  Time delay in speech recognition system  Improvement arises with semi-autonomous actions  Research and development is still required  Future work will focus on  Analysis and implementation of semiautonomous actions  Simplification of MMI  Improvement of the safety functions

Notas do Editor

  1. A