Metaverse in InterPlanet Internet: Design of Robotic Microcontroller in Space Robots for Diverse Space Applications Using an Automated AI Learning Agent

EasyChair Preprint no. 10783

Abstract

The interplanet internet is a conceived computer network in space, consisting of a set of network nodes that can communicate with each other. As resource depletion on Earth becomes real, the idea of extracting valuable elements from asteroids or to build space habitats becomes more attractive, one of the key technologies for harvesting resources is robotic space mining/building of space settlement. The metaverse is essentially a simulated digital environment and the metaverse would be something very similar to real world planetary activities where users interact with overlaying objects for activities like space mining, etc. in a completely virtual manner. Here we show how microcontroller on space robots may be designed for capturing robotic controls with different make-up for executing  space applications. For this, an AI agent is designed to learn to optimize the final control generation from the space operational environment. We designed an RL agent to add or to remove the controls to maintain a correct movement, actuators activation and high-performance space execution. For this we used fully CNN the Q-learning algorithm (an RL algorithm ) for space applications and the algorithm trained the microcontroller design agent using a matrix representation for operational requirement. Since we have learning models of robotic shapes along with a learning agent for microcontroller design, we show an implementation of combining shape patterns and device controls with space exploration activity by means of a small model.  In this way, the desired response was defined and new environmental conditions and robotic selection patterns were synergistically combined with automated controls in learning agent for diverse space related outcomes. The results of the study simulated on existing internet show that the real individual  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 Microcontroller

@Booklet{EasyChair:10783,
  author = {Poondru Prithvinath Reddy},
  title = {Metaverse in InterPlanet Internet:  Design of Robotic Microcontroller in Space Robots for Diverse Space Applications Using an Automated AI Learning Agent},
  howpublished = {EasyChair Preprint no. 10783},

  year = {EasyChair, 2023}}