Metaverse in InterPlanet Internet: Planning for Resource Selection in a Large Robotic Teams for Diverse Space Applications Using an Automated AI Learning Agent

EasyChair Preprint 10288

Abstract

The interplanet internet is a conceived computer network in space and the nodes are the planet’s orbiters and landers and the earth ground stations, and the data can be routed through Earth’s internet. As resource depletion on Earth becomes real, the idea of extracting valuable elements from asteroids or using space-based resources to build space habitats becomes attractive, one of the key technologies for harvesting resources is robotic space mining or building of space settlement. The metaverse is essentially a simulated digital environment and the metaverse would be similar to real world planetary activities where users interact with overlaying objects for real-world planetary activities. Here we show how prediction of space robots may be improved by capturing robotic shapes from a large fleet of space robots with different make-up for executing diverse space applications. We designed an RL agent to add or to remove the robots to maintain a precise formation and to build through a series of steps and also for improving the performance / efficiency of diverse space applications. For this we used fully convolutional neural network the Q-learning algorithm (an RL algorithm ) for space based execution and the algorithm trained the robotic design agent using a matrix representation for planetary requirement. Since we have a learning model along with a learning agent for robot design, we show an implementation of concatenating robotic shape patterns with space exploration activity by means of a small model in obscene of real-world model of Metaverse for application in space.  In this way, the desired response was defined, and robotic selection patterns were synergistically combined in learning agent for diverse space related outcomes. The results of the study simulated on existing  internet here on Earth show that the real behaviour on a distant planet can be achieved  provided the interplanet internet is available as pathway communication.

Keyphrases: Artificial Intelligence, InterPlanet Internet, Metaverse, Reinforcement Learning, Robotic Shape Synthesis

@booklet{EasyChair:10288,
  author    = {Poondru Prithvinath Reddy},
  title     = {Metaverse in InterPlanet Internet:  Planning for Resource Selection in a Large Robotic Teams for Diverse Space Applications Using an Automated AI Learning Agent},
  howpublished = {EasyChair Preprint 10288},
  year      = {EasyChair, 2023}}