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Perception Performance of Robotic Systems

NIST Professional Research Experience Program (PREP)
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Research Title: Perception Performance of Robotic Systems PREP0003055

 

Position Description:

The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various manufacturing applications. The research will focus on integrating 3D bin-picking vision systems with robotic arms and conducting experiments to understand the performance of these 3D bin-picking systems. This work will support the development of new metrics and standards for these systems.

 

Duties:

The duties will be tailored to fit the applicant’s qualifications and the applicant will be trained on the use of certain systems needed for the following possible duties:

  • Integrate commercial bin-picking systems into the NIST/ISD bin-picking testbed.
  • Program collaborative robot arms for conducting various tasks and experiments.
  • Research the effects of various factors (part color, part surface properties, bin color, bin depth, ratio of part size to bin size, part distribution in a bin) on bin picking performance (e.g., cycle time, pose uncertainty, etc.).
  • Collect data from various 3D imaging systems.
  • Use metrology systems (e.g., laser trackers, CMMs, etc.) for establishing reference measurements.
  • Use analysis software (e.g., MATLAB, Spatial Analyzer, Polyworks, Excel, etc.) to interpret results and produce visualizations.
  • Assist in the development of demonstrations for tradeshows and conferences.
  • Write reports and contribute to peer-reviewed publications.
  • Work schedule: On-campus (Gaithersburg, MD), Full-time (40hrs/week)

 

To apply: 

  • If you are interested in one of these positions, please send an email with the subject "Job Enquiry PREP000XXXX" to GUNISTPREP@georgetown.edu, where PREP000XXXX is the job number noted above.
  • Please send your CV and a short cover letter explaining your suitability for the position.
  • Please combine your documents into a single document in PDF format.

For the full job description: 
 https://georgetown.box.com/s/svahtkqxs3qw9rkt3ok7acif8uoldeqy