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Researcher
- Andrzej Nycz
- Kashif Nawaz
- Chris Masuo
- Ryan Dehoff
- Vincent Paquit
- Joe Rendall
- Peter Wang
- Zhiming Gao
- Alex Walters
- Brian Post
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- Michael Kirka
- Praveen Cheekatamarla
- Rangasayee Kannan
- Venkatakrishnan Singanallur Vaidyanathan
- Vishaldeep Sharma
- Adam Stevens
- Alex Roschli
- Amir K Ziabari
- Brian Gibson
- Clay Leach
- James Manley
- Jamieson Brechtl
- Joshua Vaughan
- Kyle Gluesenkamp
- Luke Meyer
- Mingkan Zhang
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- Udaya C Kalluri
- William Carter
- Akash Jag Prasad
- Alice Perrin
- Amit Shyam
- Bo Shen
- Brian Fricke
- Calen Kimmell
- Cameron Adkins
- Canhai Lai
- Chelo Chavez
- Cheng-Min Yang
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Costas Tsouris
- Diana E Hun
- Easwaran Krishnan
- Erin Webb
- Evin Carter
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- Hongbin Sun
- Huixin (anna) Jiang
- Isha Bhandari
- J.R. R Matheson
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jesse Heineman
- John Potter
- Kitty K Mccracken
- Liam White
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- Melanie Moses-DeBusk Debusk
- Michael Borish
- Muneeshwaran Murugan
- Nickolay Lavrik
- Obaid Rahman
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Pengtao Wang
- Philip Boudreaux
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- Troy Seay
- Tyler Smith
- Vladimir Orlyanchik
- William Peter
- Xianhui Zhao
- Xiaohan Yang
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zackary Snow

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.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

The use of class A3 and A2L refrigerants to replace conventional hydrofluorocarbons for their low global warming potential (GWP) presents risks due to leaks of flammable mixtures that could result in fire or explosion.

The quality and quantity of refrigerant charge in any vapor compression-based heating and cooling system is vital to its energy efficiency, thermal capacity, and reliability.
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.

Performance of heat exchangers greatly suffers due to maldistribution of fluid, which also impacts the performance of the entire HVAC system. One method to reduce fluid maldistribution is to improve the design of the manifold to make the flow evenly distributed.

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.