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Rapidly Incorporating Real Objects for Evaluation of Engineering Designs in a Mixed Reality Environment. Xiyong Wang, Aaron Kotranza, John Quarles, Benjamin Lok Computer and Information Sciences and Engineering Department University of Florida [xw3, akotranz, jpq, lok@cise.ufl.edu ].

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slide1

Rapidly Incorporating Real Objects for Evaluation of Engineering Designs in a Mixed Reality Environment

Xiyong Wang, Aaron Kotranza,

John Quarles, Benjamin Lok Computer and Information Sciences and Engineering DepartmentUniversity of Florida [xw3, akotranz, jpq, lok@cise.ufl.edu]

B. Danette Allen NASA Langley Research Center Danette.Allen@nasa.gov

driving application engineering design evaluation
At assembly design stage:

Several constructed parts

Many CAD models for parts yet to be constructed

Unverified assembly plans

How can we verify the assembly plan?

Driving Application: Engineering Design Evaluation

Motivation:

  • Finding design flaws earlier will save time and money
  • Virtual environments have difficulty simulating hands-on assembly
  • Support team based interaction

To be built in 2008

We only have this in 2005

previous work
Previous Work
  • Engineering Design
    • Zachmann--Virtual Assembly Simulation: Pure VE technique used in Assembly [GMD IMK, Oct 2000]
    • Jack – commercial software to do ergonomics (www.ugs.com) EDS
  • Interfaces in VR
    • LaViola, Bowman (Siggraph 2001 course notes) – comprehensive list of VR interaction
  • Collaboration
    • Mortensen 2002, Collaboration in tele-immersive environments. [Eurographics]
    • Pinho 2002 Cooperative Object Manipulation [VRST2002]

Image from Zachmann’s website, only the gloves (or hands) were tracked

[http://web.informatik.uni-bonn.de/II/ag-klein/people/zach/projects/fhg/ems.html]

mixed environment solution
Mixed Environment Solution
  • Mixed Environments (ME):
    • Components
      • Physical objects
      • CAD models
      • Physical correlates
    • Effective Interaction
      • Haptic feedback
      • Visualization of Articulated models
  • Challenges
    • Capturing physical models
    • Tracking real objects
    • Supporting teamwork
capturing the physical model
Capturing the Physical Model

Reconstruction from multiple scans

Scanning

Define color markers

Interaction in ME

tracking solution
Tracking Solution
  • Object tracking
    • STRAPS - color tracking
      • Web cams
  • Attributes
    • Low cost
    • Moderate latency
    • Moderate accuracy
    • Many sensors
  • Limited marker space
  • Solution: Multi-blob tracking
  • Head tracking
    • Worldviz PPT
    • Intersense Interiacube2
  • Attributes
    • Expensive
    • Low latency,
    • High accuracy
    • Few sensors
slide7

Experiment

  • Assembly task
    • Abstracted task
    • CAD models and parts from NASA
  • Components:
    • Real circuit board
    • Fuel tank physical correlate
    • Virtual fuselage CAD model
team based visualization
Team Based Visualization
  • HMD
    • For primary technician
  • Desktop
    • For remote observers
  • Tracked Tablet PC
    • For local team members
      • Engineers
      • Supervisors
conclusion
Conclusion
  • Future work:
    • Improve tracking
      • Robustness
      • Additional cameras
    • Formal study with NASA engineers
    • Avatars
    • Automate pipeline --Reduce incorporating time to 15 minutes!!
  • Results
    • The user:
      • Found the design flaw
      • Reordered the assembly plan dynamically
      • Completed the assembly task successfully
    • Takes two hours to incorporate a real object into the ME
  • Problems
    • Tracking
      • Occlusion
      • Latency

More tracking camera from different location make more complicate tasks possible.

But complicated mechanism is needed to combine the information from multi channel

acknowledgements
Acknowledgements
  • Funding
    • University of Florida
  • People
    • NASA Langley Research Center
    • UNCC
      • Dr. Shin
      • Jonathan Jackson
      • Dr. Hodges
    • CISE, UF
      • Robert Dickerson
      • Art Homs