1. BCI CONTROL OF A ROBOTIC ARM BY PAUL VANDADI & HARDIK SHAH

2. OUTLINE  Brief Introduction to BCI  Purpose of the project  Modeling using 3DS Max and Pro E  Components of Cmo  Controls and operation  Conclusion  Future Work

3. WHAT IS BCI?   A control system that does not depend on nerves and muscles.   Messages are carried by electrical or other signals from the brain.

4. How it works?   User produces brain signals that encode the message   System translates these signals into device commands   Interaction of two adaptive controllers   BCI use is a new skill that both user and system must master and maintain

5. Goal of BCI To provide   A new control option (to people with severe motor disabilities)   Functions that normal muscular control can’t address (to able-bodied people)

6. Pictorial representation

7. BCI Control of a robotic arm Purpose :  Control a robot’s arm using BCI  Create a virtual representation of a robot’s working environment.  Test the physical system without actually setting it up.  User can practice without having to be on site

8. Process

9. Components of cmo  User gets two options  Uses 19 frames  6 objects  2 cameras  2 groups

10. Controls  Left/Right Arrow: Translation of Base Plate.  Num 8 and Num 5: Translation of Shoulder.  Num 7 and Num 4: Rotation of Shoulder.  Num 9 and Num 6: Rotation of Gripper.  Num 1 and Num 3: Rotation of Elbow.  Num. and Num 0: Opening and Closing of Gripper Gripper

11. Components of Robotic Arm  Base Plate  Shoulder  Upper Arm  Fore Arm  Gripper

12. Conclusion  Lot more things yet to add. Project will be done probably by end of Summer 2007. If all works out well it can be very useful to physically handicapped person.

13. Future Work  Add more objects  Make MATLAB code ready  Try the code on actual robot rather than a virtual one.

14. Demonstration

15. Questions??