Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Morgan Kendall, Junior
Lead Presenter's Name
Morgan Kendall
Lead Presenter's College
DB College of Engineering
Faculty Mentor Name
Dr. Bryan Watson
Abstract
Current research in autonomous space systems primarily relies on centralized control or swarm methods designed for fixed mission scenarios. These approaches lack the flexibility needed for long-duration Mars operations, where infrastructure must adapt to changing conditions, evolving mission goals, and limited human oversight. This creates a critical gap in developing autonomous systems capable of continuous self-organization. This gap is being addressed by developing a biologically inspired, adaptive Martian infrastructure using swarm intelligence. The scope includes key system domains such as power distribution, communication networks, and surface logistics. Agent-based modeling software will simulate infrastructure components as autonomous agents that evaluate local conditions, interact with neighboring agents, and dynamically reallocate resources. Simulation scenarios will assess system performance under failures, increased demand, and shifting objectives. The project aims to demonstrate improved resilience, faster recovery, and efficient resource utilization, supporting scalable and sustainable infrastructure for long-term Mars missions given minimal Earth communications. This poster outlines an experimental framework and initial findings as well as preliminary project research on biologically inspired honey-bee communications patterns and agents that evaluate local conditions, interact with neighboring agents, and dynamically reallocate resources as well as design plan for infrastructure development.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Included in
Multi-Vehicle Systems and Air Traffic Control Commons, Robotics Commons, Systems Science Commons
Honeybee-Inspired Swarm Intelligence for Autonomous Adaptability of Martian Infrastructure
Current research in autonomous space systems primarily relies on centralized control or swarm methods designed for fixed mission scenarios. These approaches lack the flexibility needed for long-duration Mars operations, where infrastructure must adapt to changing conditions, evolving mission goals, and limited human oversight. This creates a critical gap in developing autonomous systems capable of continuous self-organization. This gap is being addressed by developing a biologically inspired, adaptive Martian infrastructure using swarm intelligence. The scope includes key system domains such as power distribution, communication networks, and surface logistics. Agent-based modeling software will simulate infrastructure components as autonomous agents that evaluate local conditions, interact with neighboring agents, and dynamically reallocate resources. Simulation scenarios will assess system performance under failures, increased demand, and shifting objectives. The project aims to demonstrate improved resilience, faster recovery, and efficient resource utilization, supporting scalable and sustainable infrastructure for long-term Mars missions given minimal Earth communications. This poster outlines an experimental framework and initial findings as well as preliminary project research on biologically inspired honey-bee communications patterns and agents that evaluate local conditions, interact with neighboring agents, and dynamically reallocate resources as well as design plan for infrastructure development.