A Collaborative Exploration of Uncertain Environments Using a Multi-Agent Robotic System with Emergent Behavior
- Paper ID
92225
- author
- company
Bolivarian Agency for Space Activities (ABAE)
- country
Venezuela
- year
2025
- abstract
Robotic platforms are a crucial component of space exploration, facilitating the investigation and comprehension of the universe, as well as the preparation of conditions conducive to future missions and human settlements. The advancement of these robotic missions is inherently fraught with risk and complexity, operating in the context of remote operations where rescue or assistance is not possible. To increase the chances of survival and success of space exploration missions, multi-agent robotic systems have been proposed as a new paradigm for space exploration, providing robust and reliable platforms for exploring the solar system in an entirely new scale and scope. In that sense, this research aims to develop an emergent behavior in a multi-agent robotic system for collaborative exploration of uncertain environments to prospect, map and characterize resources in-situ. Robotic multi-agent systems is a field of research in artificial intelligence responsible for the development of new distributed coordination mechanisms of multiple robotic entities with relatively simple structures that develop intelligent collective behavior through their interaction with other entities and their environment to solve complex tasks. These systems are self-organization, scalable, resilient and fault-tolerant. These systems could be employed to plan, coordinate, and execute future space exploration missions. From the surfaces of planets to moons, asteroids, and other celestial bodies. However, they also pose novel challenges for communications and networking, control and navigation, data management, and reliable energy sources.