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Thomas Ault
PhD Student

No longer a member of RI.

Email address: tomault@cs.cmu.edu

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medical applications and sensor fusion

• Computational Sensor Laboratory - We are developing specialty imaging sensors for improving robustness and capabilities of robot vision systems.
• Intelligent Sensor, Measurement, and Control Lab - robotics for difficult measurements in difficult environments, 3D-stereoscopic display systems, and sensor-based measurement, medical, and control systems

• Computer-Assisted Seating System - investigate the relationship between seating surface shape and soft tissue distortion using direct measurements
• Intelligent Frame Buffer - A ring of networked computers, each of which has the ability to write to the same screen in real time.

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• In Vivo Measurement and Visualization of Pelvic Position and Orientation and Changes in Soft Tissue Shape and Thickness with Respect to Changes in Seating Surface Shape
  T. Ault
  doctoral dissertation, tech. report CMU-RI-TR-05-56, Robotics Institute, Carnegie Mellon University, November, 2005. [Abstract]
  Download: pdf [5917 KB] copyrighted

• In situ calibration for quantitative ultrasonic imaging
  M. Siegel and T. Ault
  IEEE Instrumentation & Measurement Magazine, Vol. 1, No. 3, September, 1998, pp. 9 - 10, 12-13, 16, 18. [Abstract]
  Download: pdf [3257 KB] copyrighted

• Measurement Issues in Quantitative Ultrasonic Imaging
  M. Siegel and T. Ault
  Proc. of the IEEE Instrumentation and Measurement Technology Conference, May, 1997, pp. 16-19. [Abstract]
  Download: pdf [24 KB], ps.gz [43 KB] copyrighted

• Frameless Patient Registration Using Ultrasonic Imaging
  T. Ault
  Proc. First International Symposium on Medical Robotics and Computer Assisted Surgery, Vol. 1, No. 2, 1994, pp. 74-82.
  Download: pdf [140 KB], ps.gz [370 KB] copyrighted