Post-bacc, post-master's student

Project
PREP0003055

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.

Perception Performance of Robotic Systems - Bin picking

Qualifications

Not all the qualifications below are required.

  • Education: Engineering majors with bachelor’s/master’s degree, or in final or penultimate years of bachelor’s/master’s degree.
  • Programming experience in one or more of the following computer languages: C++, Python, Java
  • Experience with CAD software such as SolidWorks
  • Experience using MATLAB.
  • Experience using 3D printers.
  • Basic understanding of robot control theory (DH parameters, kinematics, etc.)
  • Basic understanding of 3D sensors such as LiDAR or RGBD cameras
  • Basic understanding of the Unix/Linux operating systems
  • Basic understanding of programming robot forward and inverse kinematics
  • Working knowledge of 3D point cloud data processing techniques using Point Cloud 
  • Library (PCL - http://pointclouds.org), CloudCompare, or other similar tools
Research Proposal

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.
NIST Sponsor
Kamel S. Saidi
Group
Sensing and Perception Systems Group
Salary / Hourly Rate {Min}
$71,000.00
Schedule of Appointment
Full time
Start Date
Sponsor email
kamel.saidi@nist.gov
Work Location
Onsite NIST
Salary / Hourly rate {Max}
$71,000.00
Total Hours per week
40
End Date
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