High-Level Project Summary
Detection of sources of gas emissions from the surface of planets using the robot. The robot is using AI algorithm (path planning approach) to find the source of the gas in the surface of the planet. The Random path planning algorithm was applied with the reading of two gas sensors, as the data that comes from the largest reading of the sensors will determine the path of the robot, and when the largest percentage of the reading is reached, the Spiral algorithm starts to work and then finds the gas source.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Detection of sources of gas emissions from the surface of planets using the robot. The robot is using AI algorithm (path planning approach) to find the source of the gas in the surface of the planet. The Random path planning algorithm was applied with the reading of two gas sensors, as the data that comes from the largest reading of the sensors will determine the path of the robot, and when the largest percentage of the reading is reached, the Spiral algorithm starts to work and then finds the gas source.
Space Agency Data
U.S. Drought Monitor
hs://droughtmonitor.unl.edu/Data.aspx
Hackathon Journey
It was a very good experience, including a challenge, which is how to find solutions to space problems as quickly as possible, which reflects on enhancing the quality of life on Earth. The approach in developing the project was to rely on developing algorithms to find solutions. I would like to thank all those involved in this challenge for providing opportunities to participate in the space sector from different disciplines.
References
https://droughtmonitor.unl.edu/Data.aspx
Tags
#hardware, #robotics, #space, #planet_exploration
Global Judging
This project has been submitted for consideration during the Judging process.