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Objective Provide performance metrics, test methods, and associated measurement tools to support next-generation robotic systems having human-like dexterity and control characteristics. Technical Idea The project will continue long-standing work and leadership within existing standards bodies...
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 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...
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...
Recent advancements in robotic arms and end-effectors have the potential to accelerate the use of robotics for assembly. The force sensing and compliance...
Jeremy Marvel, Roger D. Eastman, Geraldine S. Cheok, Kamel S. Saidi, Tsai H. Hong, Elena R. Messina, Bob Bollinger, Paul Evans, Joyce Guthrie, Eric Hershberger, Carlos Martinez, Karen McNamara, James Wells
The special session on Technology Readiness Levels (TRLs) for Randomized Bin Picking was held during the morning session of the 2012 Performance Metrics for...