Planning, scheduling, and execution on the Moon: the CADRE technology demonstration mission
Gregg Rabideau, Joseph Russino, Andrew Branch, Nihal Dhamani, and Tiago Stegun Vaquero, Steve Chien, Jean-Pierre de la Croix and, Federico Rossi

TL;DR
The CADRE mission demonstrates autonomous multi-robot exploration and subsurface mapping on the Moon using a novel distributed planning, scheduling, and execution system that ensures robustness and resource management.
Contribution
This paper introduces a new autonomous PS&E system for multi-robot lunar exploration, featuring a centralized planning and distributed execution architecture with failure robustness.
Findings
System architecture successfully verified and validated on hardware.
Demonstrates effective coordination of multiple robots for surface and subsurface exploration.
Ensures resource constraints and fault tolerance in autonomous lunar missions.
Abstract
NASA's Cooperative Autonomous Distributed Robotic Exploration (CADRE) mission, slated for flight to the Moon's Reiner Gamma region in 2025/2026, is designed to demonstrate multi-agent autonomous exploration of the Lunar surface and sub-surface. A team of three robots and a base station will autonomously explore a region near the lander, collecting the data required for 3D reconstruction of the surface with no human input; and then autonomously perform distributed sensing with multi-static ground penetrating radars (GPR), driving in formation while performing coordinated radar soundings to create a map of the subsurface. At the core of CADRE's software architecture is a novel autonomous, distributed planning, scheduling, and execution (PS&E) system. The system coordinates the robots' activities, planning and executing tasks that require multiple robots' participation while ensuring that…
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Taxonomy
TopicsSpacecraft Design and Technology · Space Exploration and Technology
