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Objective Develop and deploy measurement science that advances 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 measurement science needed...
Objective Develop measurement science for intelligent industrial mobility systems, including mobile and wearable robotic systems. Technical Idea This project will develop common reference measurements and evaluation techniques for mobile robot systems with integrated learning (AI) capabilities...
Objective Develop metrics, test methods, standards, software, prototypes, and datasets to promote the adoption of AI-enhanced robotics. Technical Idea To address this problem, manufacturers and integrators need a streamlined way of assessing the productive impact of AI systems. To address the first...
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...
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...
Omar Aboul-Enein, Henry Medeiros, Mili Shah, Ya-Shian Li-Baboud, Roger Bostelman, Ann Virts
Mobile manipulators, which are robotic systems integrating an automatic or autonomous mobile base with a manipulator, can potentially enhance automation in many...
Omar Aboul-Enein, Ya-Shian Li-Baboud, Roger Bostelman, Ann Virts
Mobile manipulators, which integrate a robotic manipulator with an automatic--autonomous mobile base, have the potential to augment automation by combining the...
Roger Bostelman, a project manager in the Engineering Laboratory's Intelligent Systems Division at NIST, was recently awarded the 2018 ASTM International James A. Thomas President’s Leadership Award. A member of ASTM International since 2014...