The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Review on space robotics: Toward top-level science through space exploration
Open accessAbstract
Robotics and autonomous systems have been key to space exploration and science and will continue to be instrumental.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Robots or systems that need to interact autonomously with their environment through sensory-motor capabilities must possess the capacity to act deliberately to fulfill their mission, especially in environments requiring LTA.
“Robots or systems that need to interact autonomously with their environment through sensory-motor capabilities must possess the capacity to act deliberately to fulfill their mission [184], especially in environments requiring LTA.”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [184]
Citations
Cites
A review of space robotics technologies for on-orbit servicing
Flores-Abad, Á., Ma, O., Pham, K. D., & Ulrich, S. (2014) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2014.03.002 · Cited by 1,339
Mars Science Laboratory Mission and Science Investigation
Grotzinger, J. P., Crisp, J. A., Vasavada, A. R., Anderson, R. C., Baker, C. J., Barry, R., Blake, D. F., Conrad, P. G., Edgett, K. S., Ferdowski, B., et al. (2012) · Space Science Reviews · doi:10.1007/s11214-012-9892-2 · Cited by 876
Arvidson, R. E., Squyres, S. W., Anderson, R. C., Bell, J. F., III, Blaney, D. L., Brückner, J., Cabrol, N. A., Calvin, W. M., Carr, M. H., Christensen, P. R., et al. (2006) · Journal of Geophysical Research Atmospheres · doi:10.1029/2005je002499 · Cited by 708
Organic compounds on comet 67P/Churyumov-Gerasimenko revealed by COSAC mass spectrometry
Goesmann, F., Rosenbauer, H., Bredehöft, J. H., Cabane, M., Ehrenfreund, P., Gautier, T., Giri, C., Krüger, H., Roy, L. L., MacDermott, A. J., et al. (2015) · Science · doi:10.1126/science.aab0689 · Cited by 479
Architecturally Complex Polymers with Controlled Heterogeneity
Matyjaszewski, K. A. (2011) · Science · doi:10.1126/science.1209660 · Cited by 315
Overview of the Mars Pathfinder Mission and Assessment of Landing Site Predictions
Golombek, M. P., Cook, R. A., Economou, T. E., Folkner, W. M., Haldemann, A. F. C., Kallemeyn, P. H., Knudsen, J. M., Manning, R. M., Moore, H. J., Parker, T. J., et al. (1997) · Science · doi:10.1126/science.278.5344.1743 · Cited by 302
Using Autonomy Flight Software to Improve Science Return on Earth Observing One
Chien, S., Sherwood, R., Tran, D. Q., Cichy, B., Rabideau, G., Castaño, R., Davis, A., Mandl, D., Frye, S. W., Trout, B., et al. (2005) · Journal of Aerospace Computing Information and Communication · doi:10.2514/1.12923 · Cited by 250
Self-citationSquyres, S. W., Arvidson, R. E., Bollen, D., Bell, J. F., Brückner, J., Cabrol, N. A., Calvin, W. M., Carr, M. H., Christensen, P. R., Clark, B. C., et al. (2006) · Journal of Geophysical Research Atmospheres · doi:10.1029/2006je002771 · Cited by 218
Mars Exploration Rover mission
Crisp, J. A., Adler, M., Matijevic, J. R., SQUYRES, S. W., Arvidson, R. E., & Kass, D. M. (2003) · Journal of Geophysical Research Atmospheres · doi:10.1029/2002je002038 · Cited by 203
Rollin' Justin - Mobile platform with variable base
Borst, C., Wimböck, T., Schmidt, F., Fuchs, M., Brunner, B., Zacharias, F., Giordano, P. R., Konietschke, R., Sepp, W., Fuchs, S., et al. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2009.5152586 · Cited by 164
Achievements in space robotics
Yoshida, K. (2009) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2009.934818 · Cited by 155
Francis, R., Estlin, T. A., Doran, G. B., Johnstone, S., Gaines, D. M., Verma, V., Burl, M. C., Frydenvang, J., Montaño, S., Wiens, R. C., et al. (2017) · Science Robotics · doi:10.1126/scirobotics.aan4582 · Cited by 129
Design of the ARES Mars Airplane and Mission Architecture
Braun, R. D., Wright, H. S., Croom, M. A., Levine, J. S., & Spencer, D. A. (2006) · Journal of Spacecraft and Rockets · doi:10.2514/1.17956 · Cited by 121
CHO-bearing organic compounds at the surface of 67P/Churyumov-Gerasimenko revealed by Ptolemy
Wright, I. P., Sheridan, S., Barber, S. J., Morgan, G., Andrews, D. J., & Morse, A. D. (2015) · Science · doi:10.1126/science.aab0673 · Cited by 114
AEGIS Automated Science Targeting for the MER Opportunity Rover
Estlin, T. A., Bornstein, B., Gaines, D. M., Anderson, R. C., Thompson, D. R., Burl, M. C., Castaño, R., & Judd, M. (2012) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2168752.2168764 · Cited by 110
Monitoring active volcanism with the Autonomous Sciencecraft Experiment on EO-1
Davies, A. G., Chien, S., Baker, V. R., Doggett, T., Dohm, J. M., Greeley, R., Ip, F., Castaño, R., Cichy, B., Rabideau, G., et al. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.08.007 · Cited by 97
Self-citationFlood detection and monitoring with the Autonomous Sciencecraft Experiment onboard EO-1
Ip, F., Dohm, J. M., Baker, V. R., Doggett, T., Davies, A. G., Castaño, R., Chien, S., Cichy, B., Greeley, R., Sherwood, R. L., et al. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.12.018 · Cited by 94
Self-citationAxel and DuAxel rovers for the sustainable exploration of extreme terrains
Nesnas, I., Matthews, J., Abad‐Manterola, P., Burdick, J. W., Edlund, J. A., Morrison, J. C., Peters, R. D., Tanner, M. M., Miyake, R. N., Solish, B. S., et al. (2012) · Journal of Field Robotics · doi:10.1002/rob.21407 · Cited by 94
Automatic detection of dust devils and clouds on Mars
Castaño, A., Fukunaga, A. S., Biesiadecki, J. J., Neakrase, L. D. V., Whelley, P., Greeley, R., Lemmon, M. T., Castaño, R., & Chien, S. (2007) · Machine Vision and Applications · doi:10.1007/s00138-007-0081-3 · Cited by 83
Self-citationATHLETE: A limbed vehicle for solar system exploration
Wilcox, B. (2012) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero.2012.6187269 · Cited by 59
Autonomous detection of cryospheric change with hyperion on-board Earth Observing-1
Doggett, T., Greeley, R., Chien, S., Castaño, R., Cichy, B., Davies, A. G., Rabideau, G., Sherwood, R. L., Tran, D. Q., Baker, V. R., et al. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.11.014 · Cited by 53
Self-citationAn aerobot for global in situ exploration of Titan
Hall, J. L., Kerzhanovich, V. V., Yavrouian, A. H., Jones, J. A., White, C. V., Dudik, B., Plett, G. A., Mennella, J., & Elfes, A. (2005) · Advances in Space Research · doi:10.1016/j.asr.2004.11.033 · Cited by 43
Historical synopses of desert RATS 1997–2010 and a preview of desert RATS 2011
Ross, A. J., Kosmo, J. J., & Janoiko, B. A. (2012) · Acta Astronautica · doi:10.1016/j.actaastro.2012.02.003 · Cited by 36
A Review of Robotics Technologies for On-Orbit Services
Flores-Abad, Á., Ma, O., & Pham, K. D. (2013) · doi:10.21236/ada576377 · Cited by 23
Yoshida, K., Wilcox, B., Hirzinger, G., & Lampariello, R. (2016) · Springer handbooks · doi:10.1007/978-3-319-32552-1_55 · Cited by 18
Ontology-Based Self-Reconfiguring Guidance, Navigation, and Control for Planetary Rovers
Burroughes, G., & Gao, Y. (2016) · Journal of Aerospace Information Systems · doi:10.2514/1.i010378 · Cited by 16
Self-citationYoshida, K., Nenchev, D. N., Ishigami, G., & Tsumaki, Y. (2014) · Springer eBooks · doi:10.1007/978-3-642-41101-4_19 · Cited by 11
AUTONOMOUS REAL-TIME DETECTION OF PLUMES AND JETS FROM MOONS AND COMETS
Wagstaff, K. L., Thompson, D. R., Bue, B., & Fuchs, T. J. (2014) · The Astrophysical Journal · doi:10.1088/0004-637x/794/1/43 · Cited by 10
Baker, J. C. (2006) · Science · doi:10.1126/science.312.5778.1327 · Cited by 10
Flagged first, then by citations
Research works printed but not linked: 5
- Y. Gao Ed. Contemporary Planetary Robotics—An Approach to Autonomous Systems (Wiley-VCH 2016) pp. 1–450 ISBN-13: 978–3527413256.
- W. B. Banerdt S. Smrekar K. Hurst P. Lognonné T. Spohn S Asmar D. Banfield L. Boschi U. Christensen V. Dehant W. Folkner D. Giardini W. Goetz M. Golombek M. Grott T. Hudson C. Johnson G. Kargl N. Kobayashi J. Maki D. Mimoun A. Mocquet P. Morgan M. Panning W. T. Pike J. Tromp T. van Zoest R. Weber M. Wieczorek; InSight Team InSight: A discovery mission to explore the interior of Mars in Proceedings of Lunar and Planetary Science Conference (LPSC 2013) p. 1915.
- G. Rabideau E. Benowitz Prototyping an onboard scheduler for the mars 2020 rover in Proceedings of International Workshop on Planning and Scheduling for Space (IWPSS 2017).
- S. Chien R. Knight S. Schaffer D. R. Thompson B. Bue M. Troesch Agile science flight software—A new paradigm for space missions Invited Talk Flight Software Workshop Pasadena CA USA December 2016 http://flightsoftware.jhuapl.edu/.
- A. Ceballos S. Bensalem A. Cesta L. de Silva S. Fratini F. Ingrand J. Ocón A. Orlandini K. Rajan R. Rasconi M. van Winnendael A goal-oriented autonomous controller for space exploration in Proceedings of ESA Symposium on Advanced Space Technologies in Robotics & Automation (ASTRA 2011).
Cited by
Sorted by citations
Autonomy in Physical Human-Robot Interaction: A Brief Survey
Selvaggio, M., Cognetti, M., Nikolaidis, S., Ivaldi, S., & Siciliano, B. (2021) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2021.3100603 · Cited by 239
A review of microstructure control and mechanical performance optimization of γ-TiAl alloys
Xu, R., Li, M., & Zhao, Y. (2022) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2022.167611 · Cited by 229
Progress, Challenges, and Prospects of Soft Robotics for Space Applications
Zhang, Y., Li, P., Quan, J., Li, L., Zhang, G., & Zhou, D. (2022) · Advanced Intelligent Systems · doi:10.1002/aisy.202200071 · Cited by 200
A Space Crawling Robotic Bio-Paw (Scrbp) Enabled by Triboelectric Sensors for Surface Identification
Hou, X., Zhang, L., Su, Y., Gao, G., Liu, Y., Na, Z., Xu, Q., Ding, T., Li, X., Li, L., et al. (2022) · Nano Energy · doi:10.1016/j.nanoen.2022.108013 · Cited by 137
Progress in robotics for combating infectious diseases
Gao, A., Murphy, R. R., Chen, W., Dagnino, G., Fischer, P., Gutierrez, M. G., Kundrat, D., Nelson, B. J., Shamsudhin, N., Su, H., et al. (2021) · Science Robotics · doi:10.1126/scirobotics.abf1462 · Cited by 127
Kua, J., Loke, S. W., Arora, C., Fernando, N., & Ranaweera, C. (2021) · Sensors · doi:10.3390/s21238117 · Cited by 111
Schuster, M. J., Muller, M. G., Brunner, S. G., Lehner, H., Lehner, P., Sakagami, R., Dömel, A., Meyer, L., Vodermayer, B., Giubilato, R., et al. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.3007468 · Cited by 109
Wang, Z., Lam, H., Xiao, B. J., Chen, Z., Liang, B., & Zhang, T. (2020) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2020.3007438 · Cited by 103
Automation in the Mining Industry: Review of Technology, Systems, Human Factors, and Political Risk
Rogers, W. P., Kahraman, M. M., Drews, F. A., Powell, K. M., Haight, J. M., Wang, Y., Baxla, K., & Sobalkar, M. (2019) · Mining Metallurgy & Exploration · doi:10.1007/s42461-019-0094-2 · Cited by 92
Automated Planning for Robotics
Karpas, E., & Magazzeni, D. (2019) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-082619-100135 · Cited by 88
Guo, J., Li, Y., Huang, B., Ding, L., Gao, H., & Zhong, M. (2024) · Journal of Field Robotics · doi:10.1002/rob.22361 · Cited by 84
Hewawasam, H. S., Ibrahim, M. Y., & Kahandawa, G. C. (2022) · IEEE Open Journal of the Industrial Electronics Society · doi:10.1109/ojies.2022.3179617 · Cited by 83
The progress of extraterrestrial regolith-sampling robots
Zhang, T., Xu, K., Yao, Z., Ding, X., Zhao, Z., Hou, X., Pang, Y., Lai, X., Zhang, W., Liu, S., et al. (2019) · Nature Astronomy · doi:10.1038/s41550-019-0804-1 · Cited by 82
Using Artificial Intelligence for Space Challenges: A Survey
Russo, A., & Lax, G. (2022) · Applied Sciences · doi:10.3390/app12105106 · Cited by 80
Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties
Kebria, P. M., Khosravi, A., Nahavandi, S., Wu, D., & Bello, F. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2941173 · Cited by 77
A Comprehensive Study of 3-D Vision-Based Robot Manipulation
Cong, Y., Chen, R., Ma, B., Liu, H., Hou, D., & Yang, C. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3108165 · Cited by 76
Mechanical energy metamaterials in interstellar travel
Jiao, P. (2023) · Progress in Materials Science · doi:10.1016/j.pmatsci.2023.101132 · Cited by 76
Review on planetary regolith-sampling technology
Zhang, T., Wang, B., Wei, H., Zhang, Y., Chao, C., Xu, K., Ding, X., Hou, X., & Zhao, Z. (2021) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2021.100760 · Cited by 72
Cornejo, J., Barrera, S., Ruiz-Guangaje, C., Gutierrez, F., Casasnovas, M. O., Kot, L., Solis, M. A., Larenas, R. A., Castro-Nieny, F., Saavedra, M. R. A., et al. (2023) · Emerging Science Journal · doi:10.28991/esj-2023-07-04-025 · Cited by 69
Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68
“This requires optimization to ensure the conservation of resources such as energy and communication bandwidth [183].”
BackgroundRobotics and AI-Enabled On-Orbit Operations With Future Generation of Small Satellites
Nanjangud, A., Blacker, P. C., Bandyopadhyay, S., & Gao, Y. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2794829 · Cited by 67
Self-citationG, H. N. M., Vinayakumar, B., Sunny, Y., & Antony, R. (2021) · SN Applied Sciences · doi:10.1007/s42452-021-04453-3 · Cited by 65
A self-organizing robotic aggregate using solid and liquid-like collective states
Saintyves, B., Spenko, M. J., & Jaeger, H. M. (2024) · Science Robotics · doi:10.1126/scirobotics.adh4130 · Cited by 62
Conceptual Design of Space Biosurgeon for Robotic Surgery and Aerospace Medicine
Cornejo, J., Perales-Villarroel, J. P., Sebastian, R., & Cornejo, J. (2020) · IEEE ANDESCON · doi:10.1109/andescon50619.2020.9272122 · Cited by 57
Essential Technologies and Concepts for Massive Space Exploration: Challenges and Opportunities
Arzo, S. T., Sikeridis, D., Devetsikiotis, M., Granelli, F., Fierro, R., Esmaeili, M., & Akhavan, Z. (2022) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2022.3169126 · Cited by 56
Why Human Enhancement is Necessary for Successful Human Deep-space Missions
Szocik, K., & Braddock, M. (2019) · The New Bioethics · doi:10.1080/20502877.2019.1667559 · Cited by 53
Exploring planet geology through force-feedback telemanipulation from orbit
Panzirsch, M., Pereira, A., Singh, H., Weber, B., Ferreira, E., Gherghescu, A., Hann, L., den Exter, E. B., van der Hulst, F., Gerdes, L., et al. (2022) · Science Robotics · doi:10.1126/scirobotics.abl6307 · Cited by 53
A comprehensive survey of space robotic manipulators for on-orbit servicing
Alizadeh, M., & Zhu, Z. H. (2024) · Frontiers in Robotics and AI · doi:10.3389/frobt.2024.1470950 · Cited by 52
A collective AI via lifelong learning and sharing at the edge
Soltoggio, A., Ben-Iwhiwhu, E., Braverman, V., Eaton, E., Epstein, B., Ge, Y., Halperin, L., How, J., Itti, L., Jacobs, M. A., et al. (2024) · Nature Machine Intelligence · doi:10.1038/s42256-024-00800-2 · Cited by 51
Review on the COVID-19 pandemic prevention and control system based on AI
Yi, J., Zhang, H., Mao, J., Chen, Y., Zhong, H., & Wang, Y. (2022) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.105184 · Cited by 50
Review on Bioinspired Planetary Regolith-Burrowing Robots
Wei, H., Zhang, Y., Zhang, T., Guan, Y., Xu, K., Ding, X., & Pang, Y. (2021) · Space Science Reviews · doi:10.1007/s11214-021-00863-2 · Cited by 50
Robotic technologies for in-orbit assembly of a large aperture space telescope: A review
Nair, M. H., Chakravarthini, M., Poozhiyil, M., Eckersley, S., Kay, S., & Estremera, J. (2024) · Advances in Space Research · doi:10.1016/j.asr.2024.08.055 · Cited by 46
Zhang, O., Yao, W., Du, D., Wu, C., Liu, J., Wu, L., & Sun, Y. (2023) · Aerospace Science and Technology · doi:10.1016/j.ast.2023.108718 · Cited by 45
Deep Temporal Model-Based Identity-Aware Hand Detection for Space Human–Robot Interaction
Yu, J., Gao, H., Zhou, D., Liu, J., Gao, Q. H., & Ju, Z. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3114031 · Cited by 45
Robot-assisted surgery in space: pros and cons. A review from the surgeon’s point of view
Pantalone, D., Faini, G. S., Cialdai, F., Sereni, E., Bacci, S., Bani, D., Bernini, M., Pratesi, C., Stefàno, P., Orzalesi, L., et al. (2021) · npj Microgravity · doi:10.1038/s41526-021-00183-3 · Cited by 45
The technology of lunar regolith environment construction on Earth
Zhang, T., Chao, C., Yao, Z., Xu, K., Zhang, W., Ding, X., Liu, S., Zhao, Z., An, Y., Wang, B., et al. (2020) · Acta Astronautica · doi:10.1016/j.actaastro.2020.08.039 · Cited by 42
Tunable Imaging Distance Focusing Module Directly Driven by a Thin‐plate Piezoelectric Actuator
Wang, Y., Deng, J., Ma, S., Chen, W., Zhang, S., & Liu, Y. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202415918 · Cited by 41
An origami-wheeled robot with variable width and enhanced sand walking versatility
Liu, J., Pang, Z., Li, Z., Wen, G., Su, Z., He, J., Liu, K., Jiang, D., Liu, K., Chen, S., et al. (2024) · Thin-Walled Structures · doi:10.1016/j.tws.2024.112645 · Cited by 41
Autonomous Robots for Services—State of the Art, Challenges, and Research Areas
Misaroş, M., Stan, O. P., Donca, I.-C., & Miclea, L. C. (2023) · Sensors · doi:10.3390/s23104962 · Cited by 39
Zhong, Y., Low, J., Zhu, Q. J., Jiang, Y., Yu, X., Wang, X., Zhang, F., Shang, W., Long, R., Yao, Y., et al. (2022) · National Science Review · doi:10.1093/nsr/nwac200 · Cited by 38
Impedance control of multi-arm space robot for the capture of non-cooperative targets
Ge, D., Guanghui, S., Yuanjie, Z., & Shi, J. (2020) · Journal of Systems Engineering and Electronics · doi:10.23919/jsee.2020.000079 · Cited by 38
Kolpashchikov, D. Y., Gerget, O. M., & Meshcheryakov, R. V. (2021) · Intelligent systems reference library · doi:10.1007/978-3-030-83620-7_12 · Cited by 38
Deep Object Detector With Attentional Spatiotemporal LSTM for Space Human–Robot Interaction
Yu, J., Gao, H., Chen, Y., Zhou, D., Liu, J., & Ju, Z. (2022) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2022.3144951 · Cited by 38
A Review of Sampling Exploration and Devices for Extraterrestrial Celestial Bodies
Zhang, X., Zhang, G., Xie, H., Gao, M., & Wen, Y. (2022) · Space Science Reviews · doi:10.1007/s11214-022-00926-y · Cited by 38
Research Trends and Future Perspectives in Marine Biomimicking Robotics
Aguzzi, J., Costa, C., Calisti, M., Funari, V., Stefanni, S. S., Danovaro, R., Gomes, H. I., Vecchi, F., Dartnell, L. R., Weiss, P., et al. (2021) · Sensors · doi:10.3390/s21113778 · Cited by 37
Zhang, Y., Zhang, T., Wei, H., Liu, J., Wang, W., Yuan, X., Pang, Y., Guan, Y., Hou, X., & Xu, K. (2022) · Space Science Reviews · doi:10.1007/s11214-022-00915-1 · Cited by 37
Szocik, K. (2019) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s0963180119000859 · Cited by 36
Gao, Q. H., Li, J., Zhu, Y., Wang, S., Liufu, J., & Liu, J. (2022) · Acta Astronautica · doi:10.1016/j.actaastro.2022.11.047 · Cited by 36
M2CS: A Multimodal and Campus‐Scapes Dataset for Dynamic SLAM and Moving Object Perception
Zhao, H., Yao, M., Zhao, Y., Jiang, Y., Zhang, H., Xiao, X., & Gao, K. (2024) · Journal of Field Robotics · doi:10.1002/rob.22468 · Cited by 35
A Review of Verification and Validation for Space Autonomous Systems
Cardoso, R. C., Kourtis, G., Dennis, L. A., Dixon, C., Farrell, M., Fisher, M., & Webster, M. (2021) · Current Robotics Reports · doi:10.1007/s43154-021-00058-1 · Cited by 35
Dynamic modeling and beating phenomenon analysis of space robots with continuum manipulators
Yang, J., Peng, H., Zhang, J., & Wu, Z. (2021) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2021.08.007 · Cited by 34
Selecting Suitable Battery Technologies for Untethered Robot
Verstraten, T., Hosen, M. S., Berecibar, M., & Vanderborght, B. (2023) · Energies · doi:10.3390/en16134904 · Cited by 34
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
Dass, S., Pertsch, K., Zhang, H., Lee, Y., Lim, J. J., & Nikolaidis, S. (2023) · Robotics: Science and Systems · doi:10.15607/rss.2023.xix.013 · Cited by 34
Exploring Challenges and Opportunities in Manufacturing and Intelligence for Future Robotics
Choi, J. Y., Ahn, S., Kim, D., Heo, J., Yun, W.-J., Hong, S., Bae, S., & Ahn, S. (2025) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-025-01318-2 · Cited by 33
Exploring beyond Earth using space robotics
Chien, S., Visentin, G., & Basich, C. (2024) · Science Robotics · doi:10.1126/scirobotics.adi6424 · Cited by 32
Self-citationRobotic drilling tests in simulated lunar regolith environment
Zhang, T., Zhang, Y., Xu, K., Ding, X., Wei, H., Chao, C., Wang, B., & Wang, B. (2021) · Journal of Field Robotics · doi:10.1002/rob.22018 · Cited by 32
Rock Segmentation in the Navigation Vision of the Planetary Rovers
Kuang, B., Wisniewski, M., Rana, Z. A., & Zhao, Y. (2021) · Mathematics · doi:10.3390/math9233048 · Cited by 31
Compliant Robotics in Space: A Prospective Review of Soft and Deformable Systems for Space Missions
Nohooji, H. R., & Voos, H. (2025) · Advanced Intelligent Systems · doi:10.1002/aisy.202400785 · Cited by 31
Construction Robotics in Extreme Environments: From Earth to Space
You, K., Zhou, C., Ding, L., & Wang, Y. (2025) · Engineering · doi:10.1016/j.eng.2024.11.037 · Cited by 30
Thermal vacuum regolith environment simulator for China’s deep lunar drilling exploration
Zhang, T., Liu, S., Ding, X., Xu, K., & Guan, Y. (2018) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2018.08.105 · Cited by 28
Jiang, D., Cai, Z., Peng, H., & Wu, Z. (2021) · Journal of Aerospace Engineering · doi:10.1061/(asce)as.1943-5525.0001335 · Cited by 28
Fan, J., Zhang, X., & Zou, Y. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120630 · Cited by 28
Henshaw, C. G., Chapin, S., Naasz, B. J., & Roberts, B. (2021) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-042920-011106 · Cited by 27
UnIC: Towards Unmanned Intelligent Cluster and Its Integration into Society
Zhang, F., Yu, J., Lin, D., & Zhang, J. (2022) · Engineering · doi:10.1016/j.eng.2022.02.008 · Cited by 27
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Serrano, S. A., Martínez-Carranza, J., & Sucar, L. E. (2024) · IEEE Access · doi:10.1109/access.2024.3435558 · Cited by 26
Science Autonomy for Ocean Worlds Astrobiology: A Perspective
Theiling, B., Chou, L., Poian, V. D., Battler, M. M., Raimalwala, K. V., Arévalo, R., Neveu, M. F., Ni, Z., Graham, H. V., Elsila, J. E., et al. (2022) · Astrobiology · doi:10.1089/ast.2021.0062 · Cited by 26
Qu, S., Yu, Q., Jiang, C., Zou, T., Xu, H., Zhang, L., Tao, M., Zhu, Q., Zhang, S., Geng, C., et al. (2025) · Science Advances · doi:10.1126/sciadv.adu3576 · Cited by 25
Sensorless Optimal Switching Impact/Force Controller
Roveda, L., Riva, D., Bucca, G., & Piga, D. (2021) · IEEE Access · doi:10.1109/access.2021.3131390 · Cited by 24
A review of the deformation mechanism and control of low stiffness thin-walled parts
Sun, H., Zhao, J., Zheng, Z., Jiang, Y., Jin, X., Deng, S., Tang, Y., & Zhang, X. (2025) · CIRP journal of manufacturing science and technology · doi:10.1016/j.cirpj.2025.05.007 · Cited by 23
Palacios, P., Castillo, W. A., Rivera, M. V., & Cornejo, J. (2020) · IEEE Engineering International Research Conference (EIRCON) · doi:10.1109/eircon51178.2020.9254027 · Cited by 23
Li, C., & Lewis, K. W. (2022) · Advanced Intelligent Systems · doi:10.1002/aisy.202100195 · Cited by 23
Robotic drilling for the Chinese Chang’E 5 lunar sample-return mission
Zhang, T., Pang, Y., Zeng, T., Wang, G., Yin, S., Xu, K., Mo, G., Zhang, X., Wang, L., Yang, S., et al. (2023) · The International Journal of Robotics Research · doi:10.1177/02783649231187918 · Cited by 23
Sun, H., Duan, M., Wu, Y., Zeng, Y., Zhao, H., Wu, S., Lin, B., Yang, R., & Tan, G. (2024) · Nexus · doi:10.1016/j.ynexs.2024.100030 · Cited by 23
Ticllacuri, V., Jamanca-Lino, G., Diaz, A. B., & Cornejo, J. (2020) · IEEE International Conference on Electronics, Electrical Engineering and Computing (INTERCON) · doi:10.1109/intercon50315.2020.9220206 · Cited by 22
Learning to Optimize Autonomy in Competence-Aware Systems
Basich, C., Svegliato, J., Wray, K. H., Witwicki, S., Biswas, J., & Zilberstein, S. (2020) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/fdqm4307 · Cited by 21
Mole‐Inspired Robot Burrowing with Forelimbs for Planetary Soil Exploration
Zhang, T., Wei, H., Zheng, H., Liang, Z., Yang, H., Zhang, Y., Zhu, H., Guan, Y., Ding, X., Wang, K., et al. (2024) · Advanced Intelligent Systems · doi:10.1002/aisy.202300392 · Cited by 21
Seo, M., Gupta, S., & Ham, Y. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105871 · Cited by 21
Self-positioning microdevices enable adaptable spatial displaying
Guo, Q., Li, Z., Zhou, Y., Zhao, S., Wang, Y., Zhang, M., Li, G., Tong, Z., Zhuang, T., & Yu, S. (2025) · Science Advances · doi:10.1126/sciadv.adv2721 · Cited by 20
The forgotten teammate: Considering the labor perspective in human-autonomy teams
Begerowski, S. R., Hedrick, K. N., Waldherr, F., Mears, L., & Shuffler, M. L. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107763 · Cited by 20
A Mars quadcopter capable of autonomous flight and sample collection: Structure and avionics
Zhu, K., Quan, Q., Tang, D., Dong, Y., Wang, K., Tang, B., Wu, Q., & Deng, Z. (2023) · Acta Astronautica · doi:10.1016/j.actaastro.2023.11.034 · Cited by 20
Kostavelis, I., Nalpantidis, L., Detry, R. J., Bruyninckx, H., Billard, A., Schlette, C., Bosch, M., Andronikidis, K., Lund-Nielsen, H., Yosefipor, P., et al. (2024) · Open Research Europe · doi:10.12688/openreseurope.16601.1 · Cited by 20
Machine learning-integrated biomimetic electronic noses: Future perspectives
Lee, T., Yu, J., Lee, S. W., Oh, S. H., Kang, D., Son, H., Hwang, H.-J., You, J. H., & 이규도 (2025) · Microchemical Journal · doi:10.1016/j.microc.2025.113638 · Cited by 20
MARCEL: Mobile active rover chassis for enhanced locomotion
Bouton, A., & Gao, Y. (2023) · Journal of Field Robotics · doi:10.1002/rob.22188 · Cited by 19
Self-citationYang, Y., Li, W., Song, B., Zou, Y., & Pan, Y. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108068 · Cited by 19
Review on soft landing buffer systems for planetary exploration
Yin, H., Wang, X., Wu, L., Zhang, W., Zhao, T., Wen, G., & Liu, J. (2024) · Acta Astronautica · doi:10.1016/j.actaastro.2024.12.028 · Cited by 19
Squeezing Data from a Rock: Machine Learning for Martian Science
Nagle-McNaughton, T., Scuderi, L. A., & Erickson, N. (2022) · Geosciences · doi:10.3390/geosciences12060248 · Cited by 19
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection
Grabowski, B., Ziaja, M., Kawulok, M., Bosowski, P., Longépé, N., Saux, B. L., & Nalepa, J. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.107835 · Cited by 18
Thermal Computing with Mechanical Transistors
Chen, H., Song, C. L., Wu, J., Zou, B., Zhang, Z., Hu, Z., Zou, A., Wang, Z., Cho, Y., Yang, Z., et al. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202401244 · Cited by 18
Hazard detection and landing site selection for planetary exploration using LIDAR
Mango, D., Opromolla, R., & Schmitt, C. K. (2020) · IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace) · doi:10.1109/metroaerospace48742.2020.9160010 · Cited by 18
Generalized Maximum Correntropy Kalman Filter for Target Tracking in TianGong-2 Space Laboratory
Mo, Y., Wang, Y., Hong, Y., Chen, B., Li, H., & Jiang, Z. (2022) · Space Science & Technology · doi:10.34133/2022/9796015 · Cited by 18
Development of a rotary-percussive ultrasonic drill using a bolt-clamped type piezoelectric actuator
Bai, D., Li, Y., Quan, Q., Tang, D., & Deng, Z. (2023) · Advances in Space Research · doi:10.1016/j.asr.2023.02.008 · Cited by 18
Focus-switchable piezoelectric actuator: A bionic thin-plate design inspired by conch structure
Wang, Y., Ma, S., Deng, J., Zhang, S., Chen, W., & Liu, Y. (2024) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2024.115921 · Cited by 17
Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks
Papalia, A., Thumma, N., & Leonard, J. J. (2022) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra46639.2022.9812315 · Cited by 17
Han, Y., Guo, W., Zhao, D., & Li, Z. (2022) · Mechanism and Machine Theory · doi:10.1016/j.mechmachtheory.2021.104714 · Cited by 17
Toward Compact Motorized Lens: Switch and Focus a Filter Wheel with Single Piezoelectric Tube
Wang, Y., Chen, W., Deng, J., Li, J., & Liu, Y. (2023) · Advanced Materials Technologies · doi:10.1002/admt.202301066 · Cited by 16
Cybernetic avatars: Teleoperation technologies from in-body monitoring to social interaction
Hagita, N., Kanai, R., Ishiguro, H., Minamizawa, K., Arai, F., Shimpo, F., Matsumura, T., & Yamanishi, Y. (2024) · Science Robotics · doi:10.1126/scirobotics.adg1842 · Cited by 16
Artificial Intelligence in Human Reproduction
Mendizabal‐Ruiz, G., Paredes, O., Álvarez, Á., Gomez, F. J. A., Hernández-Morales, E., González-Sandoval, J., Mendez-Zavala, C., Borrayo, E., & Chávez-Badiola, A. (2024) · Archives of Medical Research · doi:10.1016/j.arcmed.2024.103131 · Cited by 16
Robotics: History, Trends, and Future Directions
Hazarika, S. M., & Dixit, U. S. (2018) · Materials forming, machining and tribology · doi:10.1007/978-3-319-78488-5_7 · Cited by 16
Nonlinear Model Predictive Control Schemes for Obstacle Avoidance
Santos, M. A., Ferramosca, A., & Raffo, G. V. (2023) · Journal of Control Automation and Electrical Systems · doi:10.1007/s40313-023-01024-2 · Cited by 16
Streaming Scene Maps for Co-Robotic Exploration in Bandwidth Limited Environments
Girdhar, Y., Cai, L., Jamieson, S., McGuire, N., Flaspohler, G., Suman, S., & Claus, B. C. (2019) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2019.8794132 · Cited by 16
Metadata
- Authors
- Gao, Y., & Chien, S.
- Affiliations
- University of Surrey (GB)
- California Institute of Technology (US)
- Corresponding author
- Gao, Yang
- Venue
- Science Robotics
- Published
- 2017-06-28
- Volume
- 2
- Issue
- 7
- ISSN
- 2470-9476 (ISSN-L)
- OpenAlex
- W2730780157
- Cited by
- 296
- References
- 29
- Citations by year
- 2026: 33 · 2025: 43 · 2024: 65 · 2023: 39 · 2022: 36 · 2021: 35 · 2020: 21 · 2019: 17 · 2018: 6 · 2017: 1
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Science Robotics (publishedVersion)
- PubMed (publishedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- UK-RAS Network (award312048)
- JPL/NASA (award312047)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Space Satellite Systems and Control
- Social Sciences › Political Science and International Relations › Space exploration and regulation
- Physical Sciences › Engineering › Aerospace Engineering › Space Exploration and Technology
- Keywords
- space robotics, autonomous systems, space exploration, robotic space missions, human spaceflight, technology transfer, STEM education, future research priorities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review