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Kamel S. Saidi (Fed)

Dr. Kamel S. Saidi is a Mechanical Engineer in the Intelligent Systems Division (ISD) at the National Institute of Standards and Technology (NIST). His current research includes the development of metrics, test methods and ground-truth systems for evaluating the performance of robot perception, safety, dexterity, mapping and autonomy for manufacturing as well as emergency response robots. He is also involved in research aimed at developing performance evaluation methods, metrics, and facilities for 3D Imaging Systems (through ASTM E57). Dr. Saidi conducted research in construction automation for 10 years prior to shifting his focus to manufacturing and emergency response robotics. Dr. Saidi holds a Ph.D. in Civil Engineering from The University of Texas at Austin (UT), where he focused his research on information technology at the construction site and construction automation systems. His graduate research included the design and implementation of a tele-operated, hydraulic robot for the maintenance of electric power plant boilers (for which he is a co-inventor on a US patent). Dr. Saidi's graduate research also involved the design and implementation of a road crack-sealing robot and a large-scale manipulator (robot arm) for construction operations. Dr. Saidi also holds a Master of Science and a Bachelor of Science in Mechanical Engineering with an emphasis on Mechanical Systems and Design (and a minor emphasis on Biomedical Engineering) from UT.

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

PSCR 2020_UAS Standard Test Methods

Author(s)
Kamel S. Saidi
The session gives a brief recap of the work that NIST has been doing to help first responders use ground, air, and aquatic robots since 2001. This includes a

PSCR 2020_INNOVATING ON DRONE TECHNOLOGY TO SUPPORT FIRST RESPONDER MISSIONS

Author(s)
Hien V. Nguyen, Maxwell Maurice, Terese Manley, Kamel Saidi, Philip Hall, Christopher Stockhowe, Michael O'Shea, Raymond Sheh
Imagine the possibilities of using an unmanned aircraft system (UAS) to carry a wireless broadband communications network to support a public safety mission
Created August 15, 2019, Updated December 8, 2022