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Researcher
- Andrzej Nycz
- Chris Masuo
- Michael Kirka
- Peter Wang
- Alex Walters
- Rangasayee Kannan
- Ryan Dehoff
- Adam Stevens
- Brian Gibson
- Christopher Ledford
- Joshua Vaughan
- Luke Meyer
- Peeyush Nandwana
- Udaya C Kalluri
- Vincent Paquit
- William Carter
- Aaron Werth
- Akash Jag Prasad
- Alice Perrin
- Ali Passian
- Amir K Ziabari
- Amit Shyam
- Beth L Armstrong
- Brian Post
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Corson Cramer
- Emilio Piesciorovsky
- Fred List III
- Gary Hahn
- Gordon Robertson
- Harper Jordan
- J.R. R Matheson
- James Klett
- Jason Jarnagin
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Joel Asiamah
- Joel Dawson
- John Potter
- Keith Carver
- Mark Provo II
- Nance Ericson
- Patxi Fernandez-Zelaia
- Philip Bingham
- Raymond Borges Hink
- Richard Howard
- Riley Wallace
- Ritin Mathews
- Rob Root
- Roger G Miller
- Sarah Graham
- Singanallur Venkatakrishnan
- Srikanth Yoginath
- Steve Bullock
- Sudarsanam Babu
- Thomas Butcher
- Trevor Aguirre
- Varisara Tansakul
- Vladimir Orlyanchik
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- Yarom Polsky
- Ying Yang
- Yukinori Yamamoto

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.
Red mud residue is an industrial waste product generated during the processing of bauxite ore to extract alumina for the steelmaking industry. Red mud is rich in minerals in bauxite like iron and aluminum oxide, but also heavy metals, including arsenic and mercury.

In additive printing that utilizes multiple robotic agents to build, each agent, or “arm”, is currently limited to a prescribed path determined by the user.

This invention discusses the methodology to calibrating a multi-robot system with an arbitrary number of agents to obtain single coordinate frame with high accuracy.