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Researcher
- Andrzej Nycz
- Costas Tsouris
- Chris Masuo
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- Gyoung Gug Jang
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- Melanie Moses-DeBusk Debusk
- Mina Yoon
- Riley Wallace
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- Sreshtha Sinha Majumdar
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- Vincent Paquit
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- Yeonshil Park

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

Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.

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.

The diol compound derived from fermentation broth 2,3-butanediol (BDO) can be used as a feedstock for sustainable liquid fuel generation.

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.