EELS-DARTS: A Planetary Snake Robot Simulator for Closed-Loop Autonomy Development

EELS-DARTS is a simulator designed for autonomy development and analysis of large degree of freedom snake-like robots for space exploration. A detailed description of the EELS-DARTS simulator design is presented. This includes the versatile underlying multibody dynamics representation used to model a variety of distinct snake robot configurations as well as an anisotropic friction model for describing screw–ice interaction. Additional simulation components such as graphics, importable terrain, joint controllers, and perception are discussed. Methods for setting up and running simulations are discussed, including how a snake robot’s autonomy stack closes the commands and information loop with the simulation via ROS. Multiple use cases are described to illustrate how the simulation is used to aid and inform robot design, autonomy development, and field test use throughout the project’s life cycle. A validation analysis of the screw–ice contact model is performed for the surface mobility case. Lastly, an overview of simulation use for planning operations during a recent field test to the Athabasca Glacier in Canada is discussed.

Authors

Institutions

Publication Details

Journal
Aerospace
Published
2024-09-27
DOI
https://doi.org/10.3390/aerospace11100795
Citations
4
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EELS-DARTS: A Planetary Snake Robot Simulator for Closed-Loop Autonomy Development

R. Michael Swan, Guglielmo Daddi, Asher Elmquist, Carl Leake et al.
4 citations
Aerospace
Modular Robots and Swarm Intelligence
0.85
article

EELS-DARTS: A Planetary Snake Robot Simulator for Closed-Loop Autonomy Development

R. Michael Swan, Guglielmo Daddi, Asher Elmquist, Carl Leake, Michael John Paton, Tristan Hasseler, Aaron Gaut, Rob Royce, Masahiro Ono, Abhinandan Jain, Bryson Jones, Ben Hockman, Rohan Thakker
article en
4 citations

Abstract

EELS-DARTS is a simulator designed for autonomy development and analysis of large degree of freedom snake-like robots for space exploration. A detailed description of the EELS-DARTS simulator design is presented. This includes the versatile underlying multibody dynamics representation used to model a variety of distinct snake robot configurations as well as an anisotropic friction model for describing screw–ice interaction. Additional simulation components such as graphics, importable terrain, joint controllers, and perception are discussed. Methods for setting up and running simulations are discussed, including how a snake robot’s autonomy stack closes the commands and information loop with the simulation via ROS. Multiple use cases are described to illustrate how the simulation is used to aid and inform robot design, autonomy development, and field test use throughout the project’s life cycle. A validation analysis of the screw–ice contact model is performed for the surface mobility case. Lastly, an overview of simulation use for planning operations during a recent field test to the Athabasca Glacier in Canada is discussed.

AerospaceVol. 11(10)
Jet Propulsion Laboratory (US)
National Aeronautics and Space Administration
Responsible consumption and production
Openalex Percentile: Top 30%
Modular Robots and Swarm Intelligence
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EELS-DARTS: A Planetary Snake Robot Simulator for Closed-Loop Autonomy Development — R. Michael Swan, Guglielmo Daddi, et al. · Aerospace (2024) | TGRS Research Map | TGRS