Unique Presentation Identifier:

P20

Program Type

Undergraduate

Faculty Advisor

Mr. Jacob Weidenfeller

Document Type

Poster

Location

Face-to-face

Start Date

29-4-2025 9:30 AM

Abstract

The Arkansas Tech University Modular Robotics Training System (ATUM RTS) project was started two semesters ago by a team of six engineering students at Arkansas Tech. Their goal was to combine the two existing systems of the Georgia Tech Robotarium and the Micromouse maze solving competition. This was done to bring new challenges and excitement to maze-solving robotics while incorporating the cloud-based learning system of the Georgia Tech Robotarium. By creating randomized mazes using tiles and remote walls, ATUM RTS will provide an additional resource to students that will allow them to utilize their knowledge in real world applications. This was partially achieved by the previous group through their design and creation of a bistable wall flexure actuation using the properties of nitinol, a shape memory alloy. While their design worked, it did not achieve the desired scale, sustainability, safety, and efficiency originally desired. To correct these flaws the previous team faced, we have made it our goal to completely redesign the wall mechanism using an altered design of linear motion by combining the properties of both PCB motors and ironless linear motors.

ATUM RTS Presentation Report.pdf (1006 kB)
Report used to document additional information not included in the poster presentation.

3D Concept Preview.htm (13 kB)
3D Render showing the coils three phases while moving through the u-channel.

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Apr 29th, 9:30 AM

Arkansas Tech University Modular Robot Training System

Face-to-face

The Arkansas Tech University Modular Robotics Training System (ATUM RTS) project was started two semesters ago by a team of six engineering students at Arkansas Tech. Their goal was to combine the two existing systems of the Georgia Tech Robotarium and the Micromouse maze solving competition. This was done to bring new challenges and excitement to maze-solving robotics while incorporating the cloud-based learning system of the Georgia Tech Robotarium. By creating randomized mazes using tiles and remote walls, ATUM RTS will provide an additional resource to students that will allow them to utilize their knowledge in real world applications. This was partially achieved by the previous group through their design and creation of a bistable wall flexure actuation using the properties of nitinol, a shape memory alloy. While their design worked, it did not achieve the desired scale, sustainability, safety, and efficiency originally desired. To correct these flaws the previous team faced, we have made it our goal to completely redesign the wall mechanism using an altered design of linear motion by combining the properties of both PCB motors and ironless linear motors.