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Lunar Excavator Mission Operations using Dynamic Movement PrimitivesTo support sustainable infrastructure on the Moon, NASA must leverage robots to extract lunar resources for in-situ processing and construction. As part of this effort, NASA is launching the in-situ resource utilization (ISRU) Pilot Excavator later this decade to validate a robotic regolith
excavator based on the Regolith Advanced Surface Systems Operations Robot (RASSOR). RASSOR is designed to extract and transport regolith to meet the needs of ISRU architectures.
During its mission, Pilot Excavator will be tasked with driving in test patterns to demonstrate the operational concept. One of these tests is a circular trajectory around the lander while avoiding miscellaneous surface hazards such as lunar rocks. To this end, we utilize dynamic movement primitives to represent navigation sequences as primitive trajectories. Here, we introduce a novel obstacle avoidance parameter, which is configured to avoid rocks throughout testing exercises. We demonstrate the effectiveness our method in a newly developed simulation tool called the Simulated Excavation Environment for Lunar Operations (SEELO) using models based on the
NASA RASSOR 2.0 excavator. After making key changes to the obstacle avoidance formulation, our results show that the robot is able to safety and robustly navigate the lunar surface with
densely populated rock obstacles while retaining the desired circle pattern behavior.
Document ID
20220014197
Acquisition Source
Kennedy Space Center
Document Type
Conference Paper
Authors
Joseph M. Cloud
(Kennedy Space Center Merritt Island, Florida, United States)
Minh Q. Tram
(The University of Texas at Arlington Arlington, Texas, United States)
William J. Beksi
(The University of Texas at Arlington Arlington, Texas, United States)
Michael A. Dupuis
(Kennedy Space Center Merritt Island, Florida, United States)
Date Acquired
September 16, 2022
Subject Category
Lunar And Planetary Science And Exploration
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: IEEE International Conference on Intelligent Robots and Systems (IROS)
Location: Detroit, MI
Country: US
Start Date: October 1, 2023
End Date: October 5, 2023
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: 981698.01.02.76.01.22.09
CONTRACT_GRANT: NNX13AJ45A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
Space Robotics and Automation
Autonomous Vehicle Navigation
Motion and Path Planning
RASSOR
Pilot Excavator
SEELO
Lunar Simulations
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