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Megan Zimmerman (Fed)

Computer Scientist

Megan Zimmerman is a Computer Scientist and research scientist in the Manipulation and Mobility Systems group of the Intelligent Systems Division (ISD) at NIST. Zimmerman’s work focuses on Artificial Intelligence, tangible user interfaces, and enabling technologies for Human Robot Interaction(HRI) and robot manipulation. At NIST this work has developed to include benchmark development, metrics evaluation and meta-science analysis for the robotic manipulation and Human Robot Interaction fields. She serves as a contributing member of the Metrics and Evaluation Working Group at the Advanced Robotics for Manufacturing Institute(ARM) and the Artificial Intelligence Metrics and Evaluation (AIME) Group at NIST. She is currently serving as the Chair for the NIST Engineering Laboratory Diversity and Inclusion Board for 2022 where she and the board work towards a more diverse and inclusive environment at NIST. She is also serving as the 2022-2023 Engineering Laboratory representative for the NIST AI Community of Interest.

Zimmerman has a B.S. in Computer Science from University of Maryland, Baltimore County, where she worked in the Interactive Robotics and Language Lab. She is currently working towards a Masters in Computer Science from Johns Hopkins University with a concentration on Artificial Intelligence and Human Centered Computing.

Publications

State-of-the-Art in Human-Robot Interaction

Author(s)
Jeremy Marvel, Megan Zimmerman, Shelly Bagchi
In this chapter, we will discuss the applications of HRI and HMI in industrial robotics, and will discuss topics such as collaborative robot safety, advances in
Created December 10, 2018, Updated June 30, 2022