Towards Energy Efficient Autonomous Exploration of Mars Lava Tube with a Martian Coaxial Quadrotor
Akash Patel, Samuel Karlsson, Bjorn Lindqvist, Christoforos, Kanellakis, Ali Akbar Agha Mohammadi, George Nikolakopoulos

TL;DR
This paper introduces an energy-efficient autonomous exploration method for a Martian coaxial quadrotor navigating lava tubes, combining risk-aware planning, collision avoidance, and global repositioning to enhance exploration in challenging subterranean environments.
Contribution
It presents a novel exploration framework that optimizes energy use and exploration volume for a custom Mars quadrotor in simulated lava tube environments, addressing local and global navigation challenges.
Findings
Efficient exploration of simulated Martian lava tubes demonstrated.
Energy-aware planning improves exploration range and battery life.
Validation shows superiority over graph-based exploration planners.
Abstract
Mapping and exploration of a Martian terrain with an aerial vehicle has become an emerging research direction, since the successful flight demonstration of the Mars helicopter Ingenuity. Although the autonomy and navigation capability of the state of the art Mars helicopter has proven to be efficient in an open environment, the next area of interest for exploration on Mars are caves or ancient lava tube like environments, especially towards the never-ending search of life on other planets. This article presents an autonomous exploration mission based on a modified frontier approach along with a risk aware planning and integrated collision avoidance scheme with a special focus on energy aspects of a custom designed Mars Coaxial Quadrotor (MCQ) in a Martian simulated lava tube. One of the biggest novelties of the article stems from addressing the exploration capability, while rapidly…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Modular Robots and Swarm Intelligence · Planetary Science and Exploration
