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space-robots.org / papers

A Space Robots community project. Metadata from arXiv, OpenAlex, NASA NTRS, Crossref and Semantic Scholar.

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Mission / Mars

Rosalind Franklin (ExoMars)

ESA · 2016–now · also ExoMars rover, ExoMars

ESA's ExoMars rover, designed to drill up to two metres below the Martian surface in search of biosignatures; launch is planned for 2028.

Official mission page

Papers: 36
Named in: 4 in title · 34 in abstract · 24 in keywords

Papers per year

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4

4

1

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2

5

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2010’102011’112012’122013’132014’142015’152016’162017’172018’182019’192020’202021’212022’222023’232024’242025’252026’26

Top techniques

Surface Mobility & Terramechanics17
Perception & State Estimation12
Learning-based Methods8
Motion Planning & Navigation5
Manipulation & Grasping4
Autonomy, Task Planning & Operations3

Top venues

IJRR2
JFR / Field Robotics2
Icarus1
ICRA1
IEEE Aerospace1
RA-L1

Also mentioned

Mars Sample Return5
Perseverance (Mars 2020)5
Curiosity (MSL)3
Spirit & Opportunity (MER)2
Ingenuity Mars Helicopter1

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PLANETARY ROBOTICS1ISRU & CONSTRUCTION0ORBITAL ROBOTICS0IN-SPACE SERVICING0PROGRAMS & POLICY0Unassigned0

Manipulation & Grasping0Surface Mobility & Terramechanics0Microgravity Mobility & Free-Flyers0Rendezvous, Proximity Ops & Docking0Perception & State Estimation1Motion Planning & Navigation0Guidance, Dynamics & Control0Learning-based Methods1Foundation Models & LLMs0Autonomy, Task Planning & Operations0HRI & Teleoperation0Multi-Robot & Swarms0Simulation, Digital Twins & Benchmarks0Design, Mechanisms & Hardware0

Preprint (arXiv only)9Any workshop0

Space robotics & aerospace

iSpaRo0i-SAIRAS0ASTRA0IEEE Aerospace1IAC0AIAA SciTech0AIAA SPACE / ASCEND0SMC-IT/SCC0IEEE SPACE0ASCE Earth & Space0SmallSat0AMOS0SpaceOps0AAS GN&C0AAS/AIAA Astrodynamics0AAS/AIAA Space Flight Mechanics0ICES0Aerospace Mechanisms04S Symposium0COSPAR0Space Resources Roundtable0NASA Technical Report0LPSC0

Robotics

ICRA1IROS0RSS0CoRL0Humanoids0CASE0AIM0ROBIO0SII0Robomec0

Other venues18

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Has code0Classics0

1 paper naming Rosalind Franklin

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NOAH-H, a deep-learning, terrain classification system for Mars: Results for the ExoMars Rover candidate landing sites

Alexander M. Barrett, M. R. Balme, Mark Woods, Spyros Karachalios +3 moreIcarus 2021 44 citedSep 13, 2021

Space × Robotics × AIPLANETARY ROBOTICS Perception & State Estimation Learning-based Methods Rosalind Franklin

Sep 13, 2021