Underwater Communications for Swarm Robotics or Underwater Autonomous Vehicles

By Paul Scarpinato
Slide 1: Title slide for Underwater Communications for Swarm Robotics presentation by Paul Scarpinato

Slide-1

Underwater Communications for Swarm Robotics or Underwater Autonomous Vehicles

Paul Scarpinato, Student Researcher

Slide 2: Personal background information about Paul Scarpinato including school and career goals

Slide-2

Personal Background

School

  • Georgia Tech
  • 3rd year
  • Major in Biomedical Engineering (BME)

Future

  • Neuroprosthesis
Slide 3: Project overview explaining underwater communications research for autonomous vehicles

Slide-3

Project Overview

  • Underwater communications for swarm robotics or Underwater Autonomous Vehicles
  • Why?
Slide 4: Testing methodology covering radios, environments, and methods

Slide-4

Testing

  • Radios
  • Environments
  • Methods
Slide 5: Additional testing information or results

Slide-5

This image shows two main setups. On the left, there are two yellow plastic containers with electronic components inside, connected by wires. The containers are sitting on what appears to be a stone surface with a white towel. On the right, the same two containers are shown submerged in a swimming pool, sitting on a step. A ruler is visible in front of them, showing measurements up to approximately 20 inches.

Slide 6: Continuation of testing or results section

Slide-6

This image displays a line graph titled "Overall Comparision 2.4GHz/900Mhz/433Mhz". The x-axis is labeled "Distance (in)" and ranges from 0 to 170. The y-axis is labeled "Signal Strength (dBm)" and ranges from -120 to 0. Three sets of data points are plotted: blue circles for 2.4 GHz, orange circles for 900 MHz, and gray squares for 433 MHz. Each set has a corresponding linear trendline and equation displayed.

Slide 7: Further testing information or methodology details

Slide-7

This image shows two main scenes. On the left, two yellow plastic containers with electronic circuits are visible on a desk surface, with a computer monitor and keyboard in the background. A green object resembling a computer mouse is also visible. On the right, the two containers are submerged in a swimming pool, resting on a blue pool step. A measuring tape is stretched out in front of them, showing measurements.

Slide 8: Additional testing results or analysis

Slide-8

This image shows a line graph titled "Overall Comparision 2.4 GHz/900MHz". The x-axis is "Distance (in)" and the y-axis is "Signal Strength (dBm)". There are two sets of data points: blue circles for 2.4 GHz and orange circles for 900 MHz. A linear trendline with its equation is shown for each dataset.

Slide 9: Final testing information or conclusions

Slide-9

This image contains two separate graphs. The top-left graph is titled "Average packet Reception Rate for 2.4 GHz" and shows a flat line at 100% reception rate across various distances. The bottom-right graph is titled "900 MHz Packet Reception Rate 21in" and displays a fluctuating line showing packet reception rates as a percentage for test numbers 1 through 10. The percentages are all very high, ranging from 99.5% to 100.1%.

Slide 10: Challenges and future work including past problems and ongoing research needs

Slide-10

Challenges and The Future

  • Past problems and how I solved them
  • Current problems
  • There is still a lot more research and testing to be done.
Slide 11: Acknowledgments and thanks to advisors and collaborators

Slide-11

Special Thanks

  • Dr. Jason Hallstrom
  • Dr. Jiannan Zhai
  • Chancey Kelly
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For a downloadable version of this presentation, email: I-SENSE@FAU.

Additional Information
The Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) was established in early 2015 to coordinate university-wide activities in the Sensing and Smart Systems pillar of FAU’s Strategic Plan for the Race to Excellence.
Address
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