Robotic recon for human exploration: Method, assessment, and lessons learned

Maria G. Bualat, Andrew Abercromby, Mark Allan, Xavier Bouyssounouse, Matthew C. Deans, Terrence Fong, Lorenzo Flückiger, Kip Hodges, José Hurtado, Leslie Keely, Linda Kobayashi, Rob Landis, Pascal C. Lee, Susan Y. Lee, David Lees, Estrellina Pacis, Eric Park, Liam Pedersen, Debra Schreckenghost, Trey SmithVinh To, Hans Utz

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

Robotic rovers can be used as advance scouts to signifi cantly improve scientifi c and technical return of planetary surface exploration. Robotic scouting, or "robotic recon," involves using a robot to collect ground-level data prior to human fi eld activity. The data collected and knowledge acquired through recon can be used to refi ne traverse planning, reduce operational risk, and increase crew productivity. To understand how robotic recon can benefi t human exploration, we conducted a series of simulated planetary robotic missions at analog sites. These mission simulations were designed to: (1) identify and quantify operational requirements for robotic recon in advance of human activity; (2) identify and quantify ground control and science team requirements for robotic recon; and (3) identify capability, procedure, and training requirements for human explorers to draw maximum benefi t from robotic recon during vehicular traverses and on-foot extravehicular activities (EVA). Our studies indicate that robotic recon can be benefi cial to crew, improving preparation, situational awareness, and productivity in the fi eld. This is particularly true when traverse plans contain signifi cant unknowns that can be resolved by recon, such as target access and station/activity priority. In this paper, we fi rst present the assumptions and major questions related to robotic reconnaissance. We detail our system design, including the confi guration of our recon robot, the ground data system used for operation, ground control organization, and operational time lines. Finally, we describe the design and results from an experiment to assess robotic recon, discuss lessons learned, and identify directions for future work.

Original languageEnglish (US)
Title of host publicationSpecial Paper of the Geological Society of America
Pages117-135
Number of pages19
Volume483
DOIs
StatePublished - 2011

Publication series

NameSpecial Paper of the Geological Society of America
Volume483
ISSN (Print)00721077

Fingerprint

robotics
assessment method
ground control
planetary surface
productivity
human activity

ASJC Scopus subject areas

  • Geology

Cite this

Bualat, M. G., Abercromby, A., Allan, M., Bouyssounouse, X., Deans, M. C., Fong, T., ... Utz, H. (2011). Robotic recon for human exploration: Method, assessment, and lessons learned. In Special Paper of the Geological Society of America (Vol. 483, pp. 117-135). (Special Paper of the Geological Society of America; Vol. 483). https://doi.org/10.1130/2011.2483(08)

Robotic recon for human exploration : Method, assessment, and lessons learned. / Bualat, Maria G.; Abercromby, Andrew; Allan, Mark; Bouyssounouse, Xavier; Deans, Matthew C.; Fong, Terrence; Flückiger, Lorenzo; Hodges, Kip; Hurtado, José; Keely, Leslie; Kobayashi, Linda; Landis, Rob; Lee, Pascal C.; Lee, Susan Y.; Lees, David; Pacis, Estrellina; Park, Eric; Pedersen, Liam; Schreckenghost, Debra; Smith, Trey; To, Vinh; Utz, Hans.

Special Paper of the Geological Society of America. Vol. 483 2011. p. 117-135 (Special Paper of the Geological Society of America; Vol. 483).

Research output: Chapter in Book/Report/Conference proceedingChapter

Bualat, MG, Abercromby, A, Allan, M, Bouyssounouse, X, Deans, MC, Fong, T, Flückiger, L, Hodges, K, Hurtado, J, Keely, L, Kobayashi, L, Landis, R, Lee, PC, Lee, SY, Lees, D, Pacis, E, Park, E, Pedersen, L, Schreckenghost, D, Smith, T, To, V & Utz, H 2011, Robotic recon for human exploration: Method, assessment, and lessons learned. in Special Paper of the Geological Society of America. vol. 483, Special Paper of the Geological Society of America, vol. 483, pp. 117-135. https://doi.org/10.1130/2011.2483(08)
Bualat MG, Abercromby A, Allan M, Bouyssounouse X, Deans MC, Fong T et al. Robotic recon for human exploration: Method, assessment, and lessons learned. In Special Paper of the Geological Society of America. Vol. 483. 2011. p. 117-135. (Special Paper of the Geological Society of America). https://doi.org/10.1130/2011.2483(08)
Bualat, Maria G. ; Abercromby, Andrew ; Allan, Mark ; Bouyssounouse, Xavier ; Deans, Matthew C. ; Fong, Terrence ; Flückiger, Lorenzo ; Hodges, Kip ; Hurtado, José ; Keely, Leslie ; Kobayashi, Linda ; Landis, Rob ; Lee, Pascal C. ; Lee, Susan Y. ; Lees, David ; Pacis, Estrellina ; Park, Eric ; Pedersen, Liam ; Schreckenghost, Debra ; Smith, Trey ; To, Vinh ; Utz, Hans. / Robotic recon for human exploration : Method, assessment, and lessons learned. Special Paper of the Geological Society of America. Vol. 483 2011. pp. 117-135 (Special Paper of the Geological Society of America).
@inbook{63bc33763c3e4144823066d79c40f97d,
title = "Robotic recon for human exploration: Method, assessment, and lessons learned",
abstract = "Robotic rovers can be used as advance scouts to signifi cantly improve scientifi c and technical return of planetary surface exploration. Robotic scouting, or {"}robotic recon,{"} involves using a robot to collect ground-level data prior to human fi eld activity. The data collected and knowledge acquired through recon can be used to refi ne traverse planning, reduce operational risk, and increase crew productivity. To understand how robotic recon can benefi t human exploration, we conducted a series of simulated planetary robotic missions at analog sites. These mission simulations were designed to: (1) identify and quantify operational requirements for robotic recon in advance of human activity; (2) identify and quantify ground control and science team requirements for robotic recon; and (3) identify capability, procedure, and training requirements for human explorers to draw maximum benefi t from robotic recon during vehicular traverses and on-foot extravehicular activities (EVA). Our studies indicate that robotic recon can be benefi cial to crew, improving preparation, situational awareness, and productivity in the fi eld. This is particularly true when traverse plans contain signifi cant unknowns that can be resolved by recon, such as target access and station/activity priority. In this paper, we fi rst present the assumptions and major questions related to robotic reconnaissance. We detail our system design, including the confi guration of our recon robot, the ground data system used for operation, ground control organization, and operational time lines. Finally, we describe the design and results from an experiment to assess robotic recon, discuss lessons learned, and identify directions for future work.",
author = "Bualat, {Maria G.} and Andrew Abercromby and Mark Allan and Xavier Bouyssounouse and Deans, {Matthew C.} and Terrence Fong and Lorenzo Fl{\"u}ckiger and Kip Hodges and Jos{\'e} Hurtado and Leslie Keely and Linda Kobayashi and Rob Landis and Lee, {Pascal C.} and Lee, {Susan Y.} and David Lees and Estrellina Pacis and Eric Park and Liam Pedersen and Debra Schreckenghost and Trey Smith and Vinh To and Hans Utz",
year = "2011",
doi = "10.1130/2011.2483(08)",
language = "English (US)",
isbn = "9780813724836",
volume = "483",
series = "Special Paper of the Geological Society of America",
pages = "117--135",
booktitle = "Special Paper of the Geological Society of America",

}

TY - CHAP

T1 - Robotic recon for human exploration

T2 - Method, assessment, and lessons learned

AU - Bualat, Maria G.

AU - Abercromby, Andrew

AU - Allan, Mark

AU - Bouyssounouse, Xavier

AU - Deans, Matthew C.

AU - Fong, Terrence

AU - Flückiger, Lorenzo

AU - Hodges, Kip

AU - Hurtado, José

AU - Keely, Leslie

AU - Kobayashi, Linda

AU - Landis, Rob

AU - Lee, Pascal C.

AU - Lee, Susan Y.

AU - Lees, David

AU - Pacis, Estrellina

AU - Park, Eric

AU - Pedersen, Liam

AU - Schreckenghost, Debra

AU - Smith, Trey

AU - To, Vinh

AU - Utz, Hans

PY - 2011

Y1 - 2011

N2 - Robotic rovers can be used as advance scouts to signifi cantly improve scientifi c and technical return of planetary surface exploration. Robotic scouting, or "robotic recon," involves using a robot to collect ground-level data prior to human fi eld activity. The data collected and knowledge acquired through recon can be used to refi ne traverse planning, reduce operational risk, and increase crew productivity. To understand how robotic recon can benefi t human exploration, we conducted a series of simulated planetary robotic missions at analog sites. These mission simulations were designed to: (1) identify and quantify operational requirements for robotic recon in advance of human activity; (2) identify and quantify ground control and science team requirements for robotic recon; and (3) identify capability, procedure, and training requirements for human explorers to draw maximum benefi t from robotic recon during vehicular traverses and on-foot extravehicular activities (EVA). Our studies indicate that robotic recon can be benefi cial to crew, improving preparation, situational awareness, and productivity in the fi eld. This is particularly true when traverse plans contain signifi cant unknowns that can be resolved by recon, such as target access and station/activity priority. In this paper, we fi rst present the assumptions and major questions related to robotic reconnaissance. We detail our system design, including the confi guration of our recon robot, the ground data system used for operation, ground control organization, and operational time lines. Finally, we describe the design and results from an experiment to assess robotic recon, discuss lessons learned, and identify directions for future work.

AB - Robotic rovers can be used as advance scouts to signifi cantly improve scientifi c and technical return of planetary surface exploration. Robotic scouting, or "robotic recon," involves using a robot to collect ground-level data prior to human fi eld activity. The data collected and knowledge acquired through recon can be used to refi ne traverse planning, reduce operational risk, and increase crew productivity. To understand how robotic recon can benefi t human exploration, we conducted a series of simulated planetary robotic missions at analog sites. These mission simulations were designed to: (1) identify and quantify operational requirements for robotic recon in advance of human activity; (2) identify and quantify ground control and science team requirements for robotic recon; and (3) identify capability, procedure, and training requirements for human explorers to draw maximum benefi t from robotic recon during vehicular traverses and on-foot extravehicular activities (EVA). Our studies indicate that robotic recon can be benefi cial to crew, improving preparation, situational awareness, and productivity in the fi eld. This is particularly true when traverse plans contain signifi cant unknowns that can be resolved by recon, such as target access and station/activity priority. In this paper, we fi rst present the assumptions and major questions related to robotic reconnaissance. We detail our system design, including the confi guration of our recon robot, the ground data system used for operation, ground control organization, and operational time lines. Finally, we describe the design and results from an experiment to assess robotic recon, discuss lessons learned, and identify directions for future work.

UR - http://www.scopus.com/inward/record.url?scp=84866604222&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866604222&partnerID=8YFLogxK

U2 - 10.1130/2011.2483(08)

DO - 10.1130/2011.2483(08)

M3 - Chapter

AN - SCOPUS:84866604222

SN - 9780813724836

VL - 483

T3 - Special Paper of the Geological Society of America

SP - 117

EP - 135

BT - Special Paper of the Geological Society of America

ER -