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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
Objective To facilitate the adoption of AI-based robotic approaches in practical manufacturing scenarios by creating test methods that target AI-enabled robotic systems, evaluating the performance of AI-enabled robotic systems, and creating manufacturing-relevant and AI-centric datasets. Technical
Objective To develop measurement science for characterizing sensing and perception system performance to reduce the risks of adopting these technologies and to advance the agility, safety, and productivity of collaborative, industrial, and mobile robots. Technical Idea Over the past 5 years, the
Objective To develop and deploy measurement science that advances manufacturing robotic system performance, collaboration, agility, autonomy, safety, and ease of implementation to enhance U.S. innovation and industrial competitiveness. Technical Idea The fundamental idea is to provide the
Prem Rachakonda, Abhilash Mane, Craig I. Schlenoff, Kamel S. Saidi
Evaluating perception sensor systems for on-road autonomous vehicles is still fraught with ambiguity due to the varying and dynamic environmental factors that
Berk Calli, Yu Sun, Kenneth Kimble, Kaiyu Hang, Máximo A. Roa Garzón, Victor-Louis De Gusseme, Salvatore D'Avella, Francis wyffels, Andrea Cavallaro, Alessio Xompero
The Ninth Robotic Grasping and Manipulation Competition (RGMC) took place in Yokohama, Japan, during the 2024 IEEE/RAS International Conference on Robotics 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
Mitchell R. Woodside, Patrick Bazzoli, Philip A. Olubodun, J. Adam Nisbett, Helen Qiao, Douglas A. Bristow
While there are many works developing methods for modeling and calibrating robot kinematics, assessing the accuracy of those models has received little
Traditional camera calibration methods compute camera intrinsic parameters from a set of target features with known geometries. The most common target is a