Jeremy Marvel

Publications

Workshop Report: Test Methods and Metrics for Effective HRI in Collaborative Human-Robot Teams, ACM/IEEE Human-Robot Interaction Conference, 2019

December 28, 2020

Author(s)

Shelly Bagchi, Murat Aksu, Megan L. Zimmerman, Jeremy A. Marvel, Brian Antonishek

Verified and validated test methods, being necessary to measure the performance of complex systems, are important tools for driving innovation, benchmarking and

Towards Effective Interface Designs for Collaborative HRI in Manufacturing: Metrics and Measures

May 29, 2020

Author(s)

Jeremy A. Marvel, Shelly Bagchi, Megan L. Zimmerman, Brian Antonishek

We present a comprehensive framework for the evaluation of human-machine interfaces (HMI) and human-robot interactions (HRI) in collaborative manufacturing

Improving 3D Vision-Robot Registration for Assembly Tasks

April 3, 2020

Author(s)

Marek Franaszek, Geraldine S. Cheok, Karl Van Wyk, Jeremy A. Marvel

Quality registration between the coordinate frames of a perception system and a robot is important for the efficient operation of autonomous systems in vision

Comparative Study of Two Pose Measuring Systems Used to Reduce Robot Localization Error

February 28, 2020

Author(s)

Marek Franaszek, Geraldine S. Cheok, Jeremy A. Marvel

Accurate pose determination of an industrial robot end-effector is critical in many applications. The pose is usually derived from a forward kinematic model of

Reducing Localization Error of Vision-Guided Industrial Robots

June 18, 2019

Author(s)

Marek Franaszek, Geraldine S. Cheok, Jeremy A. Marvel

In many manufacturing applications, such as automated drilling or inspection of large parts, accurate knowledge of both position and orientation is critical. In

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