Space Mining Robot Prototype for NASA Robotic Mining Competition Utilizing Systems Engineering Principles

The 2017 National Aeronautics and Space Ad-ministration (NASA) Robotic Mining Competition (RMC) is an outstanding opportunity for engineering students to imple-ment all the knowledge and experience that they gained in the undergraduate years, in building a robot that will provide an intellectual insight to NASA, to develop innovative robotic excavation concepts. For this competition, multiple universities from all over the U.S. will create teams of students and faculty member to design and build a mining robot that can traverse, mine, excavate at least 10 kg of regolith, then deposit it in a bin in the challenging simulated Martian terrain. Our team’s goal is to improve on our current design, and overcome DustyTRON 2.0’s limitations by analyzing them and implementing new engineering solutions. The process to improve this system will enable our team members to learn mechanical, electrical, and software engineering. DustyTRON 3.0 is divided into three sub-teams, namely, Mechanical, Circuitry, Software sub-teams. Mechanical team focused on solving the mechanical structure, robot mobility, stability and weight distribution. Circuitry team focused on the electrical components such as batteries, wiring, and motors. The Software team focused on programming the NVidia TK1, Arduino controller, and cameras integration. This paper will outline the detailed work following systems engineering principles to complete this project, from research, to design process and robot building compete at the Kennedy Space Center. Only 54 teams were invited to participate from allover the US and DustyTRON team represented the state of Texas and placed the 29th and awarded the “Innovative Design” award.

@article{Tashtoush2021,
  title     = {Space Mining Robot Prototype for NASA Robotic Mining Competition Utilizing Systems Engineering Principles},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {2},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Tariq Tashtoush and Jesus A. Vazquez and Julian Herrera and Liliana Hernandez and Lisa Martinez and Michael E. Gutierrez and Osiris Escamilla and Rosaura E. Martinez and Alejandra Diaz and Jorge Jimenez and Jose Isaac Segura and Marcus Martinez},
  doi       = {10.14569/IJACSA.2021.0120202},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120202}
}