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In manufacturing plants, robotic arms are typically fastened down in one spot, repeating a single task over and over. While stationary machines are already
A new way of imaging concealed objects, devised by a researcher at the National Institute of Standards and Technology (NIST) and his colleagues, might take all
Robotic systems continue to grow as essential tools in strengthening U.S. manufacturing competitiveness by enabling dramatically greater responsiveness and
Artificial intelligence (AI) in the form of advanced machine learning models has been widely adopted in the technology world today. These machine learning
Mobile Robotic Systems, which include mobile bases (wheeled or legged) and onboard systems (manipulators, sensors, and end effectors such as tools, grippers
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 V. Bostelman, Omar Aboul-Enein, Soocheol Yoon, Ya-Shian Li-Baboud
Robot arms onboard mobile bases, or mobile manipulators, are advancing and measurement of these systems is critical for robust safety and performance. As mobile