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When you pick up one pencil from a pile on a table, how does your hand know where to go or what to grab? Your eyes help out. For robots to do the same, they
Artificial intelligence (AI) in the form of advanced machine learning models has been widely adopted in the technology world today. These machine learning
Perception systems extract information and knowledge from raw sensor input and are essential elements of any robotic system. Sensors and data processing
Robotic systems continue to grow as essential tools in strengthening U.S. manufacturing competitiveness by enabling dramatically greater responsiveness and
Prem Rachakonda, Kamel S. Saidi, Marek Franaszek, Helen Qiao, John Sweetser, Armin Khatoonabadi, David Dechow, Wesley Rhodes
NIST is leading and supporting multiple efforts to develop standards for 3D imaging systems for manufacturing automation applications. Many manufacturers
Marek Franaszek, Helen Qiao, Kamel S. Saidi, Prem Rachakonda
The ASTM E2919-22 standard provides a test method for evaluating 3D scanners for static pose. This standard was developed in conjunction with the industry and
Prem Rachakonda, Geraldine S. Cheok, Marek Franaszek, Kamel S. Saidi
The Intelligent Systems Division (ISD) at the National Institute of Standards and Technology (NIST) is performing research to support the development of
Traditional camera calibration methods compute camera intrinsic parameters from a set of target features with known geometries. The most common target is a