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Researcher
- Andrzej Nycz
- Chris Masuo
- Amit Shyam
- Peter Wang
- Alex Plotkowski
- Alex Walters
- Anees Alnajjar
- Brian Gibson
- James A Haynes
- Joshua Vaughan
- Luke Meyer
- Sumit Bahl
- Udaya C Kalluri
- William Carter
- Akash Jag Prasad
- Alice Perrin
- Andres Marquez Rossy
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Craig A Bridges
- Gerry Knapp
- Gordon Robertson
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- Jovid Rakhmonov
- Mariam Kiran
- Nageswara Rao
- Nicholas Richter
- Peeyush Nandwana
- Riley Wallace
- Ritin Mathews
- Ryan Dehoff
- Sheng Dai
- Sunyong Kwon
- Vincent Paquit
- Vladimir Orlyanchik
- Xiaohan Yang
- Ying Yang

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

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.