[1] |
LING Z C, JOLLIFF B L, WANG A, et al. Correlated compositional and mineralogical investigations at the Chang'e-3 landing site[J]. Nature Communications, 2015, 6(1): 1-9.
|
[2] |
BALARAM B, CANHAM T, DUNCAN C, et al. Mars helicopter technology demonstrator[C]//Proceedings of 2018 AIAA Atmospheric Flight Mechanics Conference. Reston, VA, US:AIAA, 2018:0023.
|
[3] |
PICARDI G, CHELLAPURATH M, IACOPONI S, et al. Bioinspired underwater legged robot for seabed exploration with low environmental disturbance[J]. Science Robotics, 2020, 5(42):eaaz1012.
doi: 10.1126/scirobotics.aaz1012
URL
|
[4] |
LI G R, CHEN X P, ZHOU F H, et al. Self-powered soft robot in the Mariana Trench[J]. Nature, 2021, 591(7848):66-71.
doi: 10.1038/s41586-020-03153-z
|
[5] |
AN R C, GUO S X, YU Y H, et al. Multiple bio-inspired father-son underwater robot for underwater target object acquisition and identification[J]. Micromachines, 2021, 13(1): 25.
doi: 10.3390/mi13010025
URL
|
[6] |
AJANIC E, FEROSKHAN M, MINTCHEV S, et al. Bioinspired wing and tail morphing extends drone flight capabilities[J]. Science Robotics, 2020, 5(47):eabc2897.
doi: 10.1126/scirobotics.abc2897
URL
|
[7] |
PHAN H V, PARK H C. Mechanisms of collision recovery in flying beetles and flapping-wing robots[J]. Science, 2020, 370(6521): 1214-1219.
doi: 10.1126/science.abd3285
pmid: 33273101
|
[8] |
HELPS T, ROMERO C, TAGHAVI M, et al. Liquid-amplified zipping actuators for micro-air vehicles with transmission-free flapping[J]. Science Robotics, 2022, 7(63):eabi8189.
doi: 10.1126/scirobotics.abi8189
URL
|
[9] |
BAINES R, KRAMER-BOTTIGLIO R. Turtle-like robot adapts its shape and behavior to move in different environments[J]. Nature, 2022, 610:283-289.
doi: 10.1038/s41586-022-05188-w
|
[10] |
GALATI R, MANTRIOTA G, REINA G. Adaptive heading correction for an industrial heavy-duty omnidirectional robot[J]. Scientific Reports, 2022, 12(1):1-16.
doi: 10.1038/s41598-021-99269-x
|
[11] |
RUPPERT F, BADRI-SPRÖWITZ A. Learning plastic matching of robot dynamics in closed-loop central pattern generators[J]. Nature Machine Intelligence, 2022, 4(7):652-660.
doi: 10.1038/s42256-022-00505-4
|
[12] |
SHIN J P, SON D H, KIM Y H, et al. Design exploration and comparative analysis of tail shape of tri-wheel-based stair-climbing robotic platform[J]. Scientific Reports, 2022, 12(1): 1-19.
doi: 10.1038/s41598-021-99269-x
|
[13] |
ZE Q J, WU S, NISHIKAWA J, et al. Soft robotic origami crawler[J]. Science Advances, 2022, 8(13):eabm7834.
doi: 10.1126/sciadv.abm7834
URL
|
[14] |
ROUČEK T, PECKA M, ČÍŽEK P, et al. Darpa subterranean challenge:multi-robotic exploration of underground environments[C]//Proceedings of International Conference on Modelling and Simulation for Autonomous Systems. Cham, Germany: Springer, 2019:274-290.
|
[15] |
周梦如, 陈慧岩, 熊光明, 等. 越野环境下无人履带平台的道路可通行性分析[J]. 兵工学报, 2022, 43(10):2485-2496.
doi: 10.12382/bgxb.2021.0824
|
|
ZHOU M R, CHEN H Y, XIONG G M, et al. Road traversability analysis of unmanned tracked platform in off-road environment[J]. Acta Armamentarii, 2022, 43(10):2485-2496. (in Chinese)
doi: 10.12382/bgxb.2021.0824
|
[16] |
李春明, 吴维, 郭智蔷, 等. 履带车辆纵向与垂向耦合动力学模型及功率特性[J]. 兵工学报, 2021, 42(3):449-458.
doi: 10.3969/j.issn.1000-1093.2021.03.001
|
|
LI C M, WU W, GUO Z Q, et al. Longitudinal and vertical coupled dynamic model and power characteristics of tracked vehicle[J]. Acta Armamentarii, 2021, 42(3):449-458. (in Chinese)
doi: 10.3969/j.issn.1000-1093.2021.03.001
|
[17] |
NYGAARD T F, MARTIN C P, TORRESEN J, et al. Real-world embodied AI through a morphologically adaptive quadruped robot[J]. Nature Machine Intelligence, 2021, 3(5): 410-419.
doi: 10.1038/s42256-021-00320-3
|
[18] |
ZHAO M J, ANZAI T, SHI F, et al. Design, modeling, and control of an aerial robot dragon:a dual-rotor-embedded multilink robot with the ability of multi-degree-of-freedom aerial transformation[J]. IEEE Robotics and Automation Letters, 2018, 3(2): 1176-1183.
doi: 10.1109/LRA.2018.2793344
URL
|
[19] |
DING L, ZHOU R Y, YUAN Y F, et al. A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover[J]. Science Robotics, 2022, 7(62).DOI: 10.1126/scirobotics.abj6660.
|
[20] |
YANG W Q, WANG L G, SONG B F. Dove:a biomimetic flapping-wing micro air vehicle[J]. International Journal of Micro Air Vehicles, 2018, 10(1):70-84.
doi: 10.1177/1756829317734837
URL
|
[21] |
ZHOU X, WEN X Y, WANG Z P, et al. warm of micro flying robots in the wild[J]. Science Robotics, 2022, 7(66): eabm5954.
doi: 10.1126/scirobotics.abm5954
URL
|
[22] |
LI G R, CHEN X P, ZHOU F H, et al. Self-powered soft robot in the Mariana Trench[J]. Nature, 2021, 591:66-71.
doi: 10.1038/s41586-020-03153-z
|
[23] |
YANG X B, WANG T M, LIANG J H, et al. Survey on the novel hybrid aquatic-aerial amphibious aircraft: aquatic unmanned aerial vehicle (AquaUAV)[J]. Progress in Aerospace Sciences, 2015, 74: 131-151.
doi: 10.1016/j.paerosci.2014.12.005
URL
|
[24] |
LI L, WANG S Q, ZHANG Y Y, et al. Aerial-aquatic robots capable of crossing the air-water boundary and hitchhiking on surfaces[J]. Science Robotics, 2022, 7(66): eabm6695.
doi: 10.1126/scirobotics.abm6695
URL
|
[25] |
张建, 周俊杰, 苑士华, 等. 水陆两栖仿生机器人构形、运动机理及建模控制综述[J]. 机器人, 2023, 45(3):367-384.
doi: 10.13973/j.cnki.robot.210428
|
|
ZHANG J, ZHOU J J, YUAN S H, et al. Review of configuration, motion mechanism, modeling and control of amphibious bionic robots[J]. Robot, 2023, 45(3):367-384. (in Chinese)
doi: 10.13973/j.cnki.robot.210428
|
[26] |
KARAKASILIOTIS K, THANDIACKAL R, MELO K, et al. From cineradiography to biorobots:an approach for designing robots to emulate and study animal locomotion[J]. Journal of the Royal Society Interface, 2016, 13(119): 20151089.
doi: 10.1098/rsif.2015.1089
URL
|
[27] |
BAINES R, PATIBALLA S K, BOOTH J, et al. Multi-environment robotic transitions through adaptive morphogenesis[J]. Nature, 2022, 610: 283-289.
doi: 10.1038/s41586-022-05188-w
|
[28] |
王建中, 游玉, 王鹤. 变结构陆空机器人自主跨域越障技术研究[J]. 北京理工大学学报, 2021, 41(8): 840-846.
|
|
WANG J Z, YOU Y, WANG H. Autonomous cross-domain obstacle negotiation research of a variable structure land-air robot[J]. Transactions of Beijing Institute of Technology, 2021, 41(8):840-846. (in Chinese)
|
[29] |
HSIEH M A, COWLEY A, KELLER J F, et al. Adaptive teams of autonomous aerial and ground robots for situational awareness[J]. Journal of Field Robotics, 2007, 24(11/12): 991-1014.
doi: 10.1002/rob.v24:11/12
URL
|
[30] |
MARCONI L, MELCHIORRI C, BEETZ M, et al. The SHERPA project: Smart collaboration between humans and ground-aerial robots for improving rescuing activities in alpine environments[C]//Proceedings of 2012 IEEE International Symposium on Safety, Security, and Rescue Robotics. Washington, D. C., US: IEEE, 2012: 1-4.
|
[31] |
DEUSDADO P, PINTO E, GUEDES M, et al. An aerial-ground robotic team for systematic soil and biota sampling in estuarine mudflats[C]//Proceedings of Robot 2015: Second Iberian Robotics Conference:Advances in Robotics. Berlin, Germany: Springer, 2016, 2: 15-26.
|
[32] |
何玉庆, 秦天一, 王楠. 跨域协同:无人系统技术发展和应用新趋势[J]. 无人系统技术, 2021, 4(4):1-13.
|
|
HE Y Q, QIN T Y, WANG N. Cross-domain collaboration: new trends in the development and application of unmanned systems technology[J]. Unmanned Systems Technology, 2021, 4(4): 1-13. (in Chinese)
|
[33] |
YIN P, GU F, LI D C, et al. GPU-based heuristic escape for outdoor large scale registration[C]//Proceedings of 2016 IEEE International Conference on Real-time Computing and Robotics. Washington, D. C., US:IEEE, 2016:260-265.
|
[34] |
HUTTER M, GEHRING C, JUD D, et al. Anymal-a highly mobile and dynamic quadrupedal robot[C]//Proceedings of 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems. Daejeon, Korea:IEEE, 2016:38-44.
|
[35] |
SEMINI C, TSAGARAKIS N G, GUGLIELMINO E, et al. Design of HyQ-a hydraulically and electrically actuated quadruped robot[J]. Proceedings of the Institution of Mechanical Engineers, Part I:Journal of Systems and Control Engineering, 2011, 225(6): 831-849.
doi: 10.1177/0959651811402275
URL
|
[36] |
FOLKERTSMA G A, KIM S, STRAMIGIOLI S. Parallel stiffness in a bounding quadruped with flexible spine[C] //Proceedings of 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems. Vilamoura-Algarve, Portugal: IEEE, 2012: 2210-2215.
|
[37] |
WENSING P M, WANG A, SEOK S, et al. Proprioceptive actuator design in the MIT cheetah: Impact mitigation and high-bandwidth physical interaction for dynamic legged robots[J]. IEEE Transactions on Robotics, 2017, 33(3):509-522.
doi: 10.1109/TRO.2016.2640183
URL
|
[38] |
BLEDT G, POWELL M J, KATZ B, et al. MIT Cheetah 3:Design and control of a robust, dynamic quadruped robot[C] //Proceedings of 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. Madrid, Spain: IEEE, 2018: 2245-2252.
|
[39] |
YANG C Y, YUAN K, ZHU Q G, et al. Multi-expert learning of adaptive legged locomotion[J]. Science Robotics, 2020, 5(49): eabb2174.
|
[40] |
LEE J, HWANGBO J, WELLHAUSEN L, et al. Learning quadrupedal locomotion over challenging terrain[J]. Science Robotics, 2020, 5(47): eabc5986.
doi: 10.1126/scirobotics.abc5986
URL
|
[41] |
MIKI T, LEE J, HWANGBO J, et al. Learning robust perceptive locomotion for quadrupedal robots in the wild[J]. Science Robotics, 2022, 7(62):eabk2822.
doi: 10.1126/scirobotics.abk2822
URL
|
[42] |
ZHU P X, REN W. Multi-robot joint visual-inertial localization and 3-D moving object tracking[C]//Proceedings of 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems.Las Vegas,NV,US:IEEE, 2020: 11573-11580.
|
[43] |
PAPAIOANNOU S, KOLIOS P, PANAYIOTOU C G, et al. Cooperative simultaneous tracking and jamming for disabling a rogue drone[C]//Proceedings of 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems. Las Vegas, NV, US: IEEE, 2020: 7919-7926.
|
[44] |
HABIBI G, KINGSTON Z, XIE W, et al. Distributed centroid estimation and motion controllers for collective transport by multi-robot systems[C]//Proceedings of 2015 IEEE International Conference on Robotics and Automation. Washington, D. C., US: IEEE, 2015: 1282-1288.
|
[45] |
HINOSTROZA M A, XU H T, SOARES C G. Cooperative operation of autonomous surface vehicles for maintaining formation in complex marine environment[J]. Ocean Engineering, 2019, 183:132-154.
doi: 10.1016/j.oceaneng.2019.04.098
URL
|
[46] |
XIAO X S, DUFEK J, WOODBURY T, et al. UAV assisted USV visual navigation for marine mass casualty incident response[C]//Proceedings of 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems.Vancouver, Canada:IEEE, 2017:6105-6110.
|
[47] |
REYNOLDS C W. Flocks, herds and schools: a distributed behavioral model[J]. ACM SIGGRAPH Computer Graphics, 1987, 21(4): 25-34.
doi: 10.1145/37402.37406
URL
|
[48] |
COUZIN I D, KRAUSE J, JAMES R, et al. Collective memory and spatial sorting in animal groups[J]. Journal of Theoretical Biology, 2002, 218(1):1-11.
pmid: 12297066
|
[49] |
VICSEK T, CZIRÓK A, BEN-JACOB E, et al. Novel type of phase transition in a system of self-driven particles[J]. PhysicalReview Letters, 1995, 75(6):1226.
|
[50] |
CUCKER F, SMALE S. Emergent behavior in flocks[J]. IEEE Transactions on Automatic Control, 2007, 52(5): 852-862.
doi: 10.1109/TAC.2007.895842
URL
|
[51] |
SPEARS W M, SPEARS D F, HAMANN J C, et al. Distributed, physics-based control of swarms of vehicles[J]. Autonomous Robots, 2004, 17(2):137-162.
doi: 10.1023/B:AURO.0000033970.96785.f2
URL
|
[52] |
VINYALS O, BABUSCHKIN I, CZARNECKI W M, et al. Grandmaster level in StarCraft II using multi-agent reinforcement learning[J]. Nature, 2019, 575(7782):350-354.
doi: 10.1038/s41586-019-1724-z
|
[53] |
WANG X J, SONG J X, QI P H, et al. SCC:an efficient deep reinforcement learning agent mastering the game of StarCraft II:arXiv: 2012.13169[R]. Ithaca,NY, US: Cornell University, 2020:2012.13169.
|
[54] |
LOWE R, WU Y, TAMAR A, et al. Multi-agent actor-critic for mixed cooperative-competitive environments[J]. Advances in Neural Information Processing Systems, 2017, 30:6382-6393.
|
[55] |
HOWARD A, PARKER L E, SUKHATME G S. Experiments with a large heterogeneous mobile robot team: exploration, mapping, deployment and detection[J]. The International Journal of Robotics Research, 2006, 25(5/6): 431-447.
doi: 10.1177/0278364906065378
URL
|