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Online Automation and Control: An Experiment in Distance Engineering Education

Online Automation and Control: An Experiment in Distance Engineering Education. Tarek Sobh Sarosh Patel INTERDISCIPLINARY ROBOTICS AND INTELLIGENT SYSTEMS CONTROL (RISC) LABORATORY UNIVERSITY OF BRIDGEPORT.

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Online Automation and Control: An Experiment in Distance Engineering Education

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  1. Online Automation and Control: An Experiment in Distance Engineering Education Tarek Sobh Sarosh Patel INTERDISCIPLINARY ROBOTICS AND INTELLIGENT SYSTEMS CONTROL (RISC) LABORATORY UNIVERSITY OF BRIDGEPORT REV Conference 29th June 2006 Maribor, Slovenia

  2. Introduction • Online Distance Education is a major part of the current education system • Started as an internal exercise to share and discuss ideas • Ever growing need for part-time education • 213 Universities offering online courses at various levels and disciplines in the US • Majority of the online courses are non-technical • Lacking laboratory based courses

  3. Need for Online Education • Part time course work • Working class willing to pursue higher education • Social responsibilities • Current socio-political situation • National and International demand

  4. Distance Engineering Education • Accredited engineering degrees • Under-graduate and Graduate level • Computer Engg, Electrical Engg, Mechanical Engg • Comprehensive laboratory based courses.

  5. Partnerships • Great value of American engg. degrees overseas • Partnership with foreign University/Institution providing • Infrastructure • Teaching support • Examination facilities • Closer to the student concentration • Helps in better delivery of courses

  6. Online Distance Laboratories • Using Automation and Telerobotic (controlling devices from a distance) systems • Real-time laboratory experience via the internet • Tele-operation of Mitsubishi Movemaster • RISCBOT – A Web Enabled Autonomous Navigational Robot • Tele-operation of the FESTO Process Controller

  7. 1. Tele-operation of Movemaster • Can be used in 3 modes • Evaluation mode • Teacher mode • Student mode

  8. 2. RISCBOT • Modular 802.11b – enabled mobile autonomous robot • Navigation based on a visual recognition algorithm • Controlled via the internet to navigate to desired destination • Online users receive real time video feedback from the robot

  9. RISCBOT • Waits for command from the server. • Wall clinging robot. • Image processing program checks for doors. • Uses Ultrasonic sensors for obstacle avoidance. • PC acts as central decision maker.

  10. RISCBOT IN ACTION

  11. RISCBOT CONTROL WEBSITE

  12. FESTO Process Controller • Providing telerobotic operability of the FESTO process control machine by interfacing it with the Mitsubishi Movemaster robot.

  13. Conclusion • Virtual online collaboration • Lab-based distance education • Accredited Engineering/Technical lab-based experience, degrees & training via distance learning

  14. THANK YOU

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