1
|
Ding L, Zhou R, Yu T, Yang H, He X, Gao H, Wang J, Yuan Y, Wang J, Wang Z, Qi H, Li J, Feng W, Li X, Liu C, Han S, Zeng X, Zhao YYS, Liu G, Wan W, Zhang Y, Wang S, Li L, Deng Z, Liu J, Hu G, Zhao R, Zhang K. Lunar rock investigation and tri-aspect characterization of lunar farside regolith by a digital twin. Nat Commun 2024; 15:2098. [PMID: 38459034 PMCID: PMC11258293 DOI: 10.1038/s41467-024-46233-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/20/2024] [Indexed: 03/10/2024] Open
Abstract
Yutu-2 rover conducted an exciting expedition on the 41st lunar day to investigate a fin-shaped rock at Longji site (45.44°S, 177.56°E) by extending its locomotion margin on perilous peaks. The varied locomotion encountered, especially multi-form wheel slippage, during the journey to the target rock, established unique conditions for a fin-grained lunar regolith analysis regarding bearing, shear and lateral properties based on terramechanics. Here, we show a tri-aspect characterization of lunar regolith and infer the rock's origin using a digital twin. We estimate internal friction angle within 21.5°-42.0° and associated cohesion of 520-3154 Pa in the Chang'E-4 operational site. These findings suggest shear characteristics similar to Apollo 12 mission samples but notably higher cohesion compared to regolith investigated on most nearside lunar missions. We estimate external friction angle in lateral properties to be within 8.3°-16.5°, which fills the gaps of the lateral property estimation of the lunar farside regolith and serves as a foundational parameter for subsequent engineering verifications. Our in-situ spectral investigations of the target rock unveil its composition of iron/magnesium-rich low-calcium pyroxene, linking it to the Zhinyu crater (45.34°S, 176.15°E) ejecta. Our results indicate that the combination of in-situ measurements with robotics technology in planetary exploration reveal the possibility of additional source regions contributing to the local materials at the Chang'E-4 site, implying a more complicated geological history in the vicinity.
Collapse
Affiliation(s)
- Liang Ding
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China.
| | - Ruyi Zhou
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China
| | - Tianyi Yu
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Huaiguang Yang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China
| | - Ximing He
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Haibo Gao
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China.
| | - Juntao Wang
- Center for Lunar and Planetary Sciences, Institute of Geochemistry, Chinese Academy of Science, Guiyang, 550081, China
- CAS Center for Excellence in Comparative Planetology, Hefei, 230026, China
| | - Ye Yuan
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China
| | - Jia Wang
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Zhengyin Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China
| | - Huanan Qi
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China
| | - Jian Li
- Beijing Aerospace Control Center, Beijing, 100094, China.
| | - Wenhao Feng
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China
| | - Xin Li
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Chuankai Liu
- Beijing Aerospace Control Center, Beijing, 100094, China
- Key Laboratory of Science and Technology on Aerospace Flight Dynamics, Beijing, 100094, China
| | - Shaojin Han
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Xiaojia Zeng
- Center for Lunar and Planetary Sciences, Institute of Geochemistry, Chinese Academy of Science, Guiyang, 550081, China
- CAS Center for Excellence in Comparative Planetology, Hefei, 230026, China
| | - Yu-Yan Sara Zhao
- Research Center for Planetary Science, College of Earth Science, Chengdu University of Technology, Chengdu, 610059, China
| | - Guangjun Liu
- Department of Aerospace Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada
| | - Wenhui Wan
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yuedong Zhang
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Saijin Wang
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Lichun Li
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Zongquan Deng
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China
| | - Jianzhong Liu
- Center for Lunar and Planetary Sciences, Institute of Geochemistry, Chinese Academy of Science, Guiyang, 550081, China.
- CAS Center for Excellence in Comparative Planetology, Hefei, 230026, China.
| | - Guolin Hu
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Rui Zhao
- Beijing Aerospace Control Center, Beijing, 100094, China
| | - Kuan Zhang
- Beijing Aerospace Control Center, Beijing, 100094, China
| |
Collapse
|
2
|
Ozaki S, Ishigami G, Otsuki M, Miyamoto H, Wada K, Watanabe Y, Nishino T, Kojima H, Soda K, Nakao Y, Sutoh M, Maeda T, Kobayashi T. Granular flow experiment using artificial gravity generator at International Space Station. NPJ Microgravity 2023; 9:61. [PMID: 37553360 PMCID: PMC10409782 DOI: 10.1038/s41526-023-00308-w] [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: 01/10/2023] [Accepted: 07/19/2023] [Indexed: 08/10/2023] Open
Abstract
Studying the gravity-dependent characteristics of regolith, fine-grained granular media covering extra-terrestrial bodies is essential for the reliable design and analysis of landers and rovers for space exploration. In this study, we propose an experimental approach to examine a granular flow under stable artificial gravity conditions for a long duration generated by a centrifuge at the International Space Station. We also perform a discrete element simulation of the granular flow in both artificial and natural gravity environments. The simulation results verify that the granular flows in artificial and natural gravity are consistent. Further, regression analysis of the experimental results reveals that the mass flow rate of granular flow quantitatively follows a well-known physics-based law with some deviations under low-gravity conditions, implying that the bulk density of the granular media decreases with gravity. This insight also indicates that the bulk density considered in simulation studies of space probes under low-gravity conditions needs to be tuned for their reliable design and analysis.
Collapse
Affiliation(s)
- S Ozaki
- Yokohama National University, Yokohama, Japan.
| | | | - M Otsuki
- Japan Aerospace Exploration Agency, Sagamihara, Japan
| | | | - K Wada
- Chiba Institute of Technology, Chiba, Japan
| | - Y Watanabe
- Yokohama National University, Yokohama, Japan
| | - T Nishino
- Yokohama National University, Yokohama, Japan
| | - H Kojima
- Keio University, Yokohama, Japan
| | - K Soda
- Keio University, Yokohama, Japan
| | - Y Nakao
- Keio University, Yokohama, Japan
| | - M Sutoh
- Japan Aerospace Exploration Agency, Sagamihara, Japan
| | - T Maeda
- Tokyo University of Agriculture and Technology, Fuchu, Japan
| | | |
Collapse
|
3
|
Jin H, Lin J, Wu W, Lu Y, Han F, Shi X. Interaction mechanics model for screw‐drive wheel of granary robot traveling on the loose grain terrain. J FIELD ROBOT 2022. [DOI: 10.1002/rob.22081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Hangjia Jin
- College of Biological and Agricultural Engineering Jilin University Changchun China
| | - Jizhao Lin
- College of Biological and Agricultural Engineering Jilin University Changchun China
| | - Wenfu Wu
- College of Biological and Agricultural Engineering Jilin University Changchun China
- Jilin Business and Technology College Changchun China
| | - Yanhui Lu
- College of Automotive Engineering Jilin University Changchun China
| | - Feng Han
- College of Biological and Agricultural Engineering Jilin University Changchun China
| | - Xinjian Shi
- College of Engineering and Technology Jilin Agricultural University Changchun China
| |
Collapse
|
4
|
Abstract
China’s Mars rover Zhurong successfully landed on Mars on 15th May 2021, and it is currently conducting an exploration mission on the Red Planet. This paper develops slip estimation models for the Mars rover Zhurong based on the data drive approach. Data were obtained by Zhurong’s validator ground indoor tests, and the test site was equipped with a low-gravity simulation device and simulated Mars soil to simulate the Mars conditions as much as possible. The obtained slip models trained by BP and GA-BP algorithms were applied to estimate Zhurong’s longitudinal (slip_x) and lateral slip (slip_y) on Mars, and the slip estimation values were used to display Zhurong’s actual driving path. The analyzed results prove that the GA-BP slip models perform better than the BP models, and can both be applied for correcting Zhurong’s path. The proposed models have high potential in guiding the path planning and monitoring of the slip for the Mars rover Zhurong.
Collapse
|
5
|
Ding L, Zhou R, Yuan Y, Yang H, Li J, Yu T, Liu C, Wang J, Li S, Gao H, Deng Z, Li N, Wang Z, Gong Z, Liu G, Xie J, Wang S, Rong Z, Deng D, Wang X, Han S, Wan W, Richter L, Huang L, Gou S, Liu Z, Yu H, Jia Y, Chen B, Dang Z, Zhang K, Li L, He X, Liu S, Di K. A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover. Sci Robot 2022; 7:eabj6660. [PMID: 35044796 DOI: 10.1126/scirobotics.abj6660] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The lunar nearside has been investigated by many uncrewed and crewed missions, but the farside of the Moon remains poorly known. Lunar farside exploration is challenging because maneuvering rovers with efficient locomotion in harsh extraterrestrial environment is necessary to explore geological characteristics of scientific interest. Chang'E-4 mission successfully targeted the Moon's farside and deployed a teleoperated rover (Yutu-2) to explore inside the Von Kármán crater, conveying rich information regarding regolith, craters, and rocks. Here, we report mobile exploration on the lunar farside with Yutu-2 over the initial 2 years. During its journey, Yutu-2 has experienced varying degrees of mild slip and skid, indicating that the terrain is relatively flat at large scales but scattered with local gentle slopes. Cloddy soil sticking on its wheels implies a greater cohesion of the lunar soil than encountered at other lunar landing sites. Further identification results indicate that the regolith resembles dry sand and sandy loam on Earth in bearing properties, demonstrating greater bearing strength than that identified during the Apollo missions. In sharp contrast to the sparsity of rocks along the traverse route, small fresh craters with unilateral moldable ejecta are abundant, and some of them contain high-reflectance materials at the bottom, suggestive of secondary impact events. These findings hint at notable differences in the surface geology between the lunar farside and nearside. Experience gained with Yutu-2 improves the understanding of the farside of the Moon, which, in return, may lead to locomotion with improved efficiency and larger range.
Collapse
Affiliation(s)
- L Ding
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - R Zhou
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Y Yuan
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Yang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - J Li
- Beijing Aerospace Control Center, Beijing 100094, China
| | - T Yu
- Beijing Aerospace Control Center, Beijing 100094, China
| | - C Liu
- Beijing Aerospace Control Center, Beijing 100094, China.,Key Laboratory of Science and Technology on Aerospace Flight Dynamics, Beijing 100094, China
| | - J Wang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Li
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Gao
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Deng
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - N Li
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Gong
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - G Liu
- Department of Aerospace Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
| | - J Xie
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Wang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - Z Rong
- Beijing Aerospace Control Center, Beijing 100094, China
| | - D Deng
- Beijing Aerospace Control Center, Beijing 100094, China
| | - X Wang
- Beijing Aerospace Control Center, Beijing 100094, China.,Key Laboratory of Science and Technology on Aerospace Flight Dynamics, Beijing 100094, China
| | - S Han
- Beijing Aerospace Control Center, Beijing 100094, China
| | - W Wan
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
| | - L Richter
- Large Space Structures GmbH, Hauptstrasse 1, D-85386 Eching, Germany
| | - L Huang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - S Gou
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
| | - Z Liu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Yu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Y Jia
- China Academy of Space Technology, Beijing 100094, China
| | - B Chen
- China Academy of Space Technology, Beijing 100094, China
| | - Z Dang
- China Academy of Space Technology, Beijing 100094, China
| | - K Zhang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - L Li
- Beijing Aerospace Control Center, Beijing 100094, China
| | - X He
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Liu
- Beijing Aerospace Control Center, Beijing 100094, China
| | - K Di
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
| |
Collapse
|
6
|
Shafaei SM, Mousazadeh H. Development of a mobile robot for safe mechanical evacuation of hazardous bulk materials in industrial confined spaces. J FIELD ROBOT 2021. [DOI: 10.1002/rob.22047] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Seyed Mojtaba Shafaei
- Department of Mechanical Engineering of Biosystems, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources University of Tehran Karaj Iran
- Research and Development (R&D) Unit, Zagros Sanat Arka Company Tehran Iran
| | - Hossein Mousazadeh
- Department of Mechanical Engineering of Biosystems, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources University of Tehran Karaj Iran
| |
Collapse
|
7
|
Guo J, Li W, Ding L, Gao H, Guo T, Huang B, Deng Z. Linear Expressions of Drawbar Pull and Driving Torque for Grouser-Wheeled Planetary Rovers Without Terrain Mechanical Parameters. IEEE Robot Autom Lett 2021. [DOI: 10.1109/lra.2021.3103641] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
8
|
Zhang T, Zhang Y, Xu K, Ding X, Wei H, Chao C, Wang B, Wang B. Robotic drilling tests in simulated lunar regolith environment. J FIELD ROBOT 2021. [DOI: 10.1002/rob.22018] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Tao Zhang
- Department of Mechatronics Engineering, School of Electromechanical Engineering Guangdong University of Technology Guangzhou China
- Robot Institute, School of Mechanical Engineering and Automation Beihang University Beijing China
- Department of Physical Intelligence Max‐Planck Institute for Intelligent Systems Stuttgart Germany
| | - Yinliang Zhang
- Department of Mechatronics Engineering, School of Electromechanical Engineering Guangdong University of Technology Guangzhou China
| | - Kun Xu
- Robot Institute, School of Mechanical Engineering and Automation Beihang University Beijing China
| | - Xilun Ding
- Robot Institute, School of Mechanical Engineering and Automation Beihang University Beijing China
| | - Hongyu Wei
- Department of Mechatronics Engineering, School of Electromechanical Engineering Guangdong University of Technology Guangzhou China
| | - Chaoyue Chao
- Department of Mechatronics Engineering, School of Electromechanical Engineering Guangdong University of Technology Guangzhou China
| | - Bin Wang
- Department of Mechatronics Engineering, School of Electromechanical Engineering Guangdong University of Technology Guangzhou China
| | - Bing Wang
- Department of Mechatronics Engineering, School of Electromechanical Engineering Guangdong University of Technology Guangzhou China
| |
Collapse
|
9
|
Lopez-Arreguin AJR, Montenegro S. Towards bio-inspired robots for underground and surface exploration in planetary environments: An overview and novel developments inspired in sand-swimmers. Heliyon 2020; 6:e04148. [PMID: 32613101 PMCID: PMC7317692 DOI: 10.1016/j.heliyon.2020.e04148] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 02/17/2020] [Accepted: 06/02/2020] [Indexed: 11/17/2022] Open
Abstract
Dessert organisms like sandfish lizards (SLs) bend and generate thrust in granular mediums to scape heat and hunt for prey [1]. Further, SLs seems to have striking capabilities to swim in undulatory form keeping the same wavelength even in terrains with different volumetric densities, hence behaving as rigid bodies. This paper tries to recommend new research directions for planetary robotics, adapting principles of sand swimmers for improving robustness of surface exploration robots. First, we summarize previous efforts on bio-inspired hardware developed for granular terrains and accessing complex geological features. Later, a rigid wheel design has been proposed to imitate SLs locomotion capabilities. In order to derive the force models to predict performance of such bio-inspired mobility system, different approaches as RFT (Resistive Force Theory) and analytical terramechanics are introduced. Even in typical wheeled robots the slip and sinkage increase with time, the new design intends to imitate traversability capabilities of SLs, that seem to keep the same slip while displacing at subsurface levels.
Collapse
Affiliation(s)
| | - S Montenegro
- Informatik VIII, University of Wuerzburg, Germany
| |
Collapse
|
10
|
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: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
11
|
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.
Collapse
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
| |
Collapse
|
12
|
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: 0.8] [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
| |
Collapse
|
13
|
Sakamoto K, Otsuki M, Maeda T, Yoshikawa K, Kubota T. Evaluation of Hopping Robot Performance With Novel Foot Pad Design on Natural Terrain for Hopper Development. IEEE Robot Autom Lett 2019. [DOI: 10.1109/lra.2019.2926222] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
|
14
|
Gonzalez R, Apostolopoulos D, Iagnemma K. Slippage and immobilization detection for planetary exploration rovers via machine learning and proprioceptive sensing. J FIELD ROBOT 2017. [DOI: 10.1002/rob.21736] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
15
|
Comin FJ, Lewinger WA, Saaj CM, Matthews MC. Trafficability Assessment of Deformable Terrain through Hybrid Wheel-Leg Sinkage Detection. J FIELD ROBOT 2016. [DOI: 10.1002/rob.21645] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
16
|
Song X, Gao H, Ding L, Deng Z, Chao C. Diagonal recurrent neural networks for parameters identification of terrain based on wheel–soil interaction analysis. Neural Comput Appl 2015. [DOI: 10.1007/s00521-015-2107-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|