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PLANETARY AUTONOMY · SPACE ROBOTICS & AI

Cooperative Aerial-Ground Autonomy on Real Mars Terrain

A drone surveys a real HiRISE Jezero Crater patch, builds the map, and a six wheel rover navigates it. Topped with an IEEE format paper on next best view planning over 3D Gaussian Splatting.

TYPE

Simulation on real HiRISE Mars data

STACK

ROS 2 Jazzy · Gazebo Harmonic · ~7,400 lines of Python

RESULT

18/18 waypoints · 0.73 m final accuracy

The mission running in Gazebo: drone airborne over the Jezero terrain mesh with the rover en route to the habitat dome.
The mission running in Gazebo: drone airborne over the Jezero terrain mesh with the rover en route to the habitat dome.
Mission complete: waypoint 18/18 reached, arrival 0.73 m from the habitat dome center.
Mission complete: waypoint 18/18 reached, arrival 0.73 m from the habitat dome center.
Per Gaussian reconstruction uncertainty over the 14,156 Gaussian splat of the HiRISE terrain, from the accompanying paper.
Per Gaussian reconstruction uncertainty over the 14,156 Gaussian splat of the HiRISE terrain, from the accompanying paper.
The paper's core result: path conditioned viewpoint gain selects a different next best view than the uniform baseline.
The paper's core result: path conditioned viewpoint gain selects a different next best view than the uniform baseline.

Overview

Design & Build

Challenges

Result

Skills & Tools

ROS 2 JazzyGazebo HarmonicPythonA* PlanningBayesian Mapping3D Gaussian SplattingCOLMAPTerrain-Relative Navigation