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Researcher
- Ahmed Hassen
- Vlastimil Kunc
- Andrzej Nycz
- Steven Guzorek
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- Kim Sitzlar
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- Komal Chawla
- Merlin Theodore
- Oluwafemi Oyedeji
- Riley Wallace
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- Ryan Ogle
- Sana Elyas
- Sudarsanam Babu
- Thomas Feldhausen
- Vincent Paquit
- Vladimir Orlyanchik
- Xianhui Zhao
- Xiaohan Yang

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.

Fiberglass, semi-structural insulation for recycled glass fiber and using a low cost silicon with pultruded rods, either fiberglass and a low cost resin, polyester for pultruded rods. It will reduce the use of wood, which is flammable, and still be structural.

Through the use of splicing methods, joining two different fiber types in the tow stage of the process enables great benefits to the strength of the material change.

Wire arc additive manufacturing has limited productivity and casting processes require complex molds that are expensive and time-consuming to produce.

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.