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Manufacturing /Robotics in manufacturing

Dexterous grasping

Projects and Programs

Embodied AI and Data Generation for Manufacturing Robotics

Ongoing
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

Grasping, Manipulation, and Contact Safety Performance of Robotic Systems

Ongoing
Objective To provide performance metrics, test methods, and associated measurement tools to support next-generation robotic systems having human-like dexterity and force control characteristics. Technical Idea The force sensing and compliance capabilities used in collaborative robots to prevent
Measurement Science for Robotics and Autonomous Systems

Measurement Science for Robotics and Autonomous Systems

Ongoing
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

Publications

Technology Readiness Levels for Randomized Bin Picking, Performance Metrics for Intelligent Systems (PerMIS) 2012 Workshop, Special Session

Author(s)
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

Benchmarking Protocols for Evaluating Small Parts Robotic Assembly Systems

Author(s)
Kenneth Kimble, Joseph Falco, Elena R. Messina, Karl Van Wyk , Yu Sun, Mizuho Shibata, Wataru Uemura, Yasuyoshi Yokokohji
This paper presents a set of performance metrics, test methods, and associated artifacts to help progress the development and deployment of robotic assembly