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Neukart F. Towards sustainable horizons: A comprehensive blueprint for Mars colonization. Heliyon 2024; 10:e26180. [PMID: 38404830 PMCID: PMC10884476 DOI: 10.1016/j.heliyon.2024.e26180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/08/2024] [Accepted: 02/08/2024] [Indexed: 02/27/2024] Open
Abstract
This paper thoroughly explores the feasibility, challenges, and proposed solutions for establishing a sustainable human colony on Mars. We quantitatively and qualitatively analyze the Martian environment, highlighting key challenges such as radiation exposure, which astronauts could experience at minimum levels of 0.66 sieverts during a round trip, and the complications arising from Mars' thin atmosphere and extreme temperature variations. Technological advancements are examined, including developing Martian concrete, which utilizes sulfur as a binding agent, and innovative life support strategies like aeroponics and algae bioreactors. The human aspect of colonization is addressed, focusing on long-term space habitation's psychological and physiological impacts. We also present a cost-benefit analysis of in-situ resource utilization versus Earth-based supply missions, emphasizing economic viability with the potential reduction in launch costs through reusable rocket technology. A timeline for the colonization process is suggested, spanning preliminary unmanned missions for resource assessment, followed by short-term manned missions leading to sustainable settlements over several decades. The paper concludes with recommendations for future research, particularly in refining resource utilization techniques and advancing health and life support systems, to solidify the foundation for Mars colonization. This comprehensive assessment aims to guide researchers, policymakers, and stakeholders in planning and executing a strategic and informed approach to making Mars colonization a reality.
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Affiliation(s)
- Florian Neukart
- Leiden Institute of Advanced Computer Science, Snellius Gebouw, Niels Bohrweg 1, Leiden, 2333 CA, South Holland, Netherlands
- Terra Quantum AG, Kornhausstrasse 25, St. Gallen, 9000, St. Gallen, Switzerland
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2
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Badgujar C, Das S, Figueroa DM, Flippo D, Welch S. Deep neural networks to predict autonomous ground vehicle behavior on sloping terrain field. J FIELD ROBOT 2023. [DOI: 10.1002/rob.22163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Affiliation(s)
- Chetan Badgujar
- Department of Biological & Agricultural Engineering Kansas State University Manhattan Kansas USA
| | - Sanjoy Das
- Department of Electrical & Computer Engineering Kansas State University Manhattan Kansas USA
| | - Dania M. Figueroa
- Department of Electrical & Computer Engineering Kansas State University Manhattan Kansas USA
| | - Daniel Flippo
- Department of Biological & Agricultural Engineering Kansas State University Manhattan Kansas USA
| | - Stephen Welch
- Department of Agronomy Kansas State University Manhattan Kansas USA
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3
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Shafaei SM, Mousazadeh H. Amelioration of Energy Dissipation Through Robotic Evacuation Process of Solid Bulk Materials: Effectiveness of Wheel Slip Control System. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2022. [DOI: 10.1007/s13369-022-07371-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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4
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Recognition of Sedimentary Rock Occurrences in Satellite and Aerial Images of Other Worlds—Insights from Mars. REMOTE SENSING 2021. [DOI: 10.3390/rs13214296] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Sedimentary rocks provide records of past surface and subsurface processes and environments. The first step in the study of the sedimentary rock record of another world is to learn to recognize their occurrences in images from instruments aboard orbiting, flyby, or aerial platforms. For two decades, Mars has been known to have sedimentary rocks; however, planet-wide identification is incomplete. Global coverage at 0.25–6 m/pixel, and observations from the Curiosity rover in Gale crater, expand the ability to recognize Martian sedimentary rocks. No longer limited to cases that are light-toned, lightly cratered, and stratified—or mimic original depositional setting (e.g., lithified deltas)—Martian sedimentary rocks include dark-toned examples, as well as rocks that are erosion-resistant enough to retain small craters as well as do lava flows. Breakdown of conglomerates, breccias, and even some mudstones, can produce a pebbly regolith that imparts a “smooth” appearance in satellite and aerial images. Context is important; sedimentary rocks remain challenging to distinguish from primary igneous rocks in some cases. Detection of ultramafic, mafic, or andesitic compositions do not dictate that a rock is igneous, and clast genesis should be considered separately from the depositional record. Mars likely has much more sedimentary rock than previously recognized.
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5
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Model-Based Slippage Estimation to Enhance Planetary Rover Localization with Wheel Odometry. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11125490] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The exploration of planetary surfaces with unmanned wheeled vehicles will require sophisticated software for guidance, navigation and control. Future missions will be designed to study harsh environments that are characterized by rough terrains and extreme conditions. An accurate knowledge of the trajectory of planetary rovers is fundamental to accomplish the scientific goals of these missions. This paper presents a method to improve rover localization through the processing of wheel odometry (WO) and inertial measurement unit (IMU) data only. By accurately defining the dynamic model of both a rover’s wheels and the terrain, we provide a model-based estimate of the wheel slippage to correct the WO measurements. Numerical simulations are carried out to better understand the evolution of the rover’s trajectory across different terrain types and to determine the benefits of the proposed WO correction method.
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6
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Rankin A, Maimone M, Biesiadecki J, Patel N, Levine D, Toupet O. Mars curiosity rover mobility trends during the first 7 years. J FIELD ROBOT 2021. [DOI: 10.1002/rob.22011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Arturo Rankin
- Mobility and Robotic Systems Jet Propulsion Laboratory California Institute of Technology Pasadena California USA
| | - Mark Maimone
- Mobility and Robotic Systems Jet Propulsion Laboratory California Institute of Technology Pasadena California USA
| | - Jeffrey Biesiadecki
- Mobility and Robotic Systems Jet Propulsion Laboratory California Institute of Technology Pasadena California USA
| | - Nikunj Patel
- Engineering Operations for Surface Missions Jet Propulsion Laboratory California Institute of Technology Pasadena California USA
| | - Dan Levine
- Mobility and Robotic Systems Jet Propulsion Laboratory California Institute of Technology Pasadena California USA
| | - Olivier Toupet
- Mobility and Robotic Systems Jet Propulsion Laboratory California Institute of Technology Pasadena California USA
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7
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Thoesen A, McBryan T, Mick D, Green M, Martia J, Marvi H. Granular scaling laws for helically driven dynamics. Phys Rev E 2020; 102:032902. [PMID: 33075970 DOI: 10.1103/physreve.102.032902] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 08/20/2020] [Indexed: 01/16/2023]
Abstract
Exploration of granular physics for three-dimensional geometries interacting with deformable media is crucial for further understanding of granular mechanics and vehicle-terrain dynamics. A modular screw propelled vehicle is, therefore, designed for testing the accuracy of a novel helical granular scaling law in predicting vehicle translational velocity and power. A dimensional analysis is performed on the vehicle and screw pontoons. Two additional pontoon pairs of increased size and mass are determined from dimensional scalars. The power and velocity of these larger pairs are predicted by the smaller pair using the scaling relationships. All three sets are subjected to ten trials of five angular velocities ranging from 13.7 to 75.0 revolutions per minute in a high interlock lunar regolith analog derived from mining tailings. Experimental agreement for prediction of power (3-9% error) and translational velocity (2-12% error) are observed. A similar set of geometries is subjected to multibody dynamics and discrete element method cosimulations of Earth and lunar gravity to verify a gravity-dependent subset of the scaling laws. These simulations show agreement (under 5% error for all sets) and support law validity for gravity between Earth and lunar magnitude. These results support further expansion of granular scaling models to enable prediction for vehicle-terrain dynamics for a variety of environments and geometries.
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Affiliation(s)
- Andrew Thoesen
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona, 85287
| | - Teresa McBryan
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona, 85287
| | - Darwin Mick
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona, 85287
| | - Marko Green
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona, 85287
| | - Justin Martia
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona, 85287
| | - Hamid Marvi
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona, 85287
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8
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Hedrick G, Ohi N, Gu Y. Terrain-Aware Path Planning and Map Update for Mars Sample Return Mission. IEEE Robot Autom Lett 2020. [DOI: 10.1109/lra.2020.3005123] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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9
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Comparative performance of granular scaling laws for lightweight grouser wheels in sand and lunar simulant. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.05.114] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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10
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Ding L, Huang L, Li S, Gao H, Deng H, Li Y, Liu G. Definition and Application of Variable Resistance Coefficient for Wheeled Mobile Robots on Deformable Terrain. IEEE T ROBOT 2020. [DOI: 10.1109/tro.2020.2981822] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Abstract
One of the major challenges faced by planetary exploration rovers today is the negotiation of difficult terrain, such as fine granular regolith commonly found on the Moon and Mars. Current testing methods on Earth fail to account for the effect of reduced gravity on the soil itself. This work characterizes the effects of reduced gravity on wheel–soil interactions between an ExoMars rover wheel prototype and a martian soil simulant aboard parabolic flights producing effective martian and lunar gravitational accelerations. These experiments are the first to collect wheel–soil interaction imagery and force/torque sensor data alongside wheel sinkage data. Results from reduced-gravity flights are compared with on-ground experiments with all parameters equal, including wheel load, such that the only difference between the experiments is the effect of gravity on the soil itself. In lunar gravity, a statistically significant average reduction in traction of 20% is observed compared with 1 g, and in martian gravity an average traction reduction of 5–10% is observed. Subsurface soil imaging shows that soil mobilization increases as gravity decreases, suggesting a deterioration in soil strength, which could be the cause of the reduction in traction. Statistically significant increases in wheel sinkage in both martian and lunar gravity provide additional evidence for decreased soil strength. All of these observations (decreased traction, increased soil mobilization, and increased sinkage) hinder a rover’s ability to drive, and should be considered when interpreting results from reduced-load mobility tests conducted on Earth.
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Affiliation(s)
- Parna Niksirat
- Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada
| | - Adriana Daca
- Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada
| | - Krzysztof Skonieczny
- Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada
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12
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Lamarre O, Limoyo O, Marić F, Kelly J. The Canadian Planetary Emulation Terrain Energy-Aware Rover Navigation Dataset. Int J Rob Res 2020. [DOI: 10.1177/0278364920908922] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Future exploratory missions to the Moon and to Mars will involve solar-powered rovers; careful vehicle energy management is critical to the success of such missions. This article describes a unique dataset gathered by a small, four-wheeled rover at a planetary analog test facility in Canada. The rover was equipped with a suite of sensors designed to enable the study of energy-aware navigation and path planning algorithms. The sensors included a colour omnidirectional stereo camera, a monocular camera, an inertial measurement unit, a pyranometer, drive power consumption monitors, wheel encoders, and a GPS receiver. In total, the rover drove more than 1.2 km over varied terrain at the analog test site. All data is presented in human-readable text files and as standard-format images; additional Robot Operating System (ROS) parsing tools and several georeferenced aerial maps of the test environment are also included. A series of potential research use cases is described.
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Affiliation(s)
- Olivier Lamarre
- Space & Terrestrial Autonomous Robotic Systems Laboratory, University of Toronto Institute for Aerospace Studies, Canada
| | - Oliver Limoyo
- Space & Terrestrial Autonomous Robotic Systems Laboratory, University of Toronto Institute for Aerospace Studies, Canada
| | - Filip Marić
- Space & Terrestrial Autonomous Robotic Systems Laboratory, University of Toronto Institute for Aerospace Studies, Canada
- Laboratory for Autonomous Systems and Mobile Robotics, University of Zagreb, Croatia
| | - Jonathan Kelly
- Space & Terrestrial Autonomous Robotic Systems Laboratory, University of Toronto Institute for Aerospace Studies, Canada
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13
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Kovács LL, Ghotbi B, González F, Niksirat P, Skonieczny K, Kövecses J. Effect of gravity in wheel/terrain interaction models. J FIELD ROBOT 2019. [DOI: 10.1002/rob.21924] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- László L. Kovács
- Department of Mechanical Engineering McGill University Montréal Québec Canada
| | - Bahareh Ghotbi
- Department of Mechanical Engineering McGill University Montréal Québec Canada
| | - Francisco González
- Laboratorio de Ingeniería Mecánica, Department of Naval and Industrial Engineering University of A Coruña Ferrol Spain
| | - Parna Niksirat
- Department of Electrical and Computer Engineering Concordia University Montréal Québec Canada
| | - Krzysztof Skonieczny
- Department of Electrical and Computer Engineering Concordia University Montréal Québec Canada
| | - József Kövecses
- Department of Mechanical Engineering McGill University Montréal Québec Canada
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14
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Skonieczny K, Shukla DK, Faragalli M, Cole M, Iagnemma KD. Data-driven mobility risk prediction for planetary rovers. J FIELD ROBOT 2018. [DOI: 10.1002/rob.21833] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Krzysztof Skonieczny
- Department of Electrical and Computer Engineering; Concordia University; Montreal Quebec Canada
| | - Dhara K. Shukla
- Department of Electrical and Computer Engineering; Concordia University; Montreal Quebec Canada
| | | | - Matthew Cole
- Mission Control Space Services Inc.; Ottawa Ontario Canada
| | - Karl D. Iagnemma
- Department of Mechanical Engineering; Massachusetts Intitute of Technology; Cambridge Massachusetts
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15
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Cunningham C, Nesnas IA, Whittaker WL. Improving slip prediction on Mars using thermal inertia measurements. Auton Robots 2018. [DOI: 10.1007/s10514-018-9796-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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16
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Gonzalez R, Iagnemma K. Slippage estimation and compensation for planetary exploration rovers. State of the art and future challenges. J FIELD ROBOT 2017. [DOI: 10.1002/rob.21761] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Ramon Gonzalez
- Robotic Mobility Group; Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Karl Iagnemma
- Robotic Mobility Group; Massachusetts Institute of Technology, Cambridge, Massachusetts
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17
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Vago JL, Westall F. Habitability on Early Mars and the Search for Biosignatures with the ExoMars Rover. ASTROBIOLOGY 2017; 17:471-510. [PMID: 31067287 PMCID: PMC5685153 DOI: 10.1089/ast.2016.1533] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 03/05/2017] [Indexed: 05/19/2023]
Abstract
The second ExoMars mission will be launched in 2020 to target an ancient location interpreted to have strong potential for past habitability and for preserving physical and chemical biosignatures (as well as abiotic/prebiotic organics). The mission will deliver a lander with instruments for atmospheric and geophysical investigations and a rover tasked with searching for signs of extinct life. The ExoMars rover will be equipped with a drill to collect material from outcrops and at depth down to 2 m. This subsurface sampling capability will provide the best chance yet to gain access to chemical biosignatures. Using the powerful Pasteur payload instruments, the ExoMars science team will conduct a holistic search for traces of life and seek corroborating geological context information. Key Words: Biosignatures-ExoMars-Landing sites-Mars rover-Search for life. Astrobiology 17, 471-510.
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18
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The Effect of Assistive Anchor-Like Grousers on Wheeled Rover Performance over Unconsolidated Sandy Dune Inclines. SENSORS 2016; 16:s16091507. [PMID: 27649196 PMCID: PMC5038780 DOI: 10.3390/s16091507] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 09/12/2016] [Accepted: 09/12/2016] [Indexed: 11/16/2022]
Abstract
Typical rovers with wheels equipped with conventional grousers are prone to getting stuck in unconsolidated sandy dune inclines as the wheels tend to sink into the sand. This phenomenon is caused by the motion of the grouser through the sand during the latter half of the rotation, in which the grouser pushes the sand from underneath the wheel upwards and towards the backside of the wheel. This creates a space that the wheel can sink into. To minimize sand movement and subsequent sinkage, we propose the concept of using an “assistive grouser”, which is attached to the side of a conventional rover wheel. The assistive grouser is designed to be able to autonomously maintain a uniform angle relative to the rover body independent of the rotation of the wheels. Rotating the wheel causes the assistive grousers to automatically penetrate into the sand slope surface at a constant angle of attack, thereby acting as an anchor and providing traction for the wheel. Maintaining a uniform grouser angle as opposed to a rotating motion also assists in extracting the grouser out of the sand without moving the sand towards the back of the wheel. Moreover, the angle of the assistive grousers is held constantly by a single dedicated motor, meaning that the angle of the assistive grousers can be optimized to provide the least amount of sinkage for each slope angle. The experimental results showed that for slope angles of 0–30 degrees, the rover equipped with the proposed assistive grousers experienced significantly less sinkage and consumed less current compared to the rover equipped with conventional grousers.
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19
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Arvidson RE, Iagnemma KD, Maimone M, Fraeman AA, Zhou F, Heverly MC, Bellutta P, Rubin D, Stein NT, Grotzinger JP, Vasavada AR. Mars Science Laboratory Curiosity Rover Megaripple Crossings up to Sol 710 in Gale Crater. J FIELD ROBOT 2016. [DOI: 10.1002/rob.21647] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Raymond E. Arvidson
- McDonnell Center for the Space Sciences, Department of Earth and Planetary Sciences; Washington University in St. Louis; St. Louis Missouri 63130
| | - Karl D. Iagnemma
- Robotic Mobility Group; Massachusetts Institute of Technology; Cambridge Massachusetts 02139
| | - Mark Maimone
- California Institute of Technology/ Jet Propulsion Laboratory; Pasadena California 91011
| | - Abigail A. Fraeman
- Division of Geological and Planetary Sciences; California Institute of Technology; Pasadena California 91125
| | - Feng Zhou
- McDonnell Center for the Space Sciences, Department of Earth and Planetary Sciences; Washington University in St. Louis; St. Louis Missouri 63130
| | - Matthew C. Heverly
- California Institute of Technology/ Jet Propulsion Laboratory; Pasadena California 91011
| | - Paolo Bellutta
- California Institute of Technology/ Jet Propulsion Laboratory; Pasadena California 91011
| | - David Rubin
- Department of Earth and Planetary Sciences; University of California at Santa Cruz; Santa Cruz California 91125
| | - Nathan T. Stein
- McDonnell Center for the Space Sciences, Department of Earth and Planetary Sciences; Washington University in St. Louis; St. Louis Missouri 63130
| | - John P. Grotzinger
- Division of Geological and Planetary Sciences; California Institute of Technology; Pasadena California 91125
| | - Ashwin R. Vasavada
- California Institute of Technology/ Jet Propulsion Laboratory; Pasadena California 91011
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20
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Ho K, Peynot T, Sukkarieh S. Nonparametric Traversability Estimation in Partially Occluded and Deformable Terrain. J FIELD ROBOT 2016. [DOI: 10.1002/rob.21646] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Ken Ho
- Australian Centre for Field Robotics; The University of Sydney; NSW 2006 Australia
| | - Thierry Peynot
- Queensland University of Technology (QUT); Brisbane QLD 4001 Australia
| | - Salah Sukkarieh
- Australian Centre for Field Robotics; The University of Sydney; NSW 2006 Australia
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