Landing control method of a lightweight four-legged landing and walking robot

Ke YIN , Chenkun QI , Yue GAO , Qiao SUN , Feng GAO

Front. Mech. Eng. ›› 2022, Vol. 17 ›› Issue (4) : 51

PDF (9052KB)
Front. Mech. Eng. ›› 2022, Vol. 17 ›› Issue (4) : 51 DOI: 10.1007/s11465-022-0707-1
RESEARCH ARTICLE
RESEARCH ARTICLE

Landing control method of a lightweight four-legged landing and walking robot

Author information +
History +
PDF (9052KB)

Abstract

The prober with an immovable lander and a movable rover is commonly used to explore the Moon’s surface. The rover can complete the detection on relatively flat terrain of the lunar surface well, but its detection efficiency on deep craters and mountains is relatively low due to the difficulties of reaching such places. A lightweight four-legged landing and walking robot called “FLLWR” is designed in this study. It can take off and land repeatedly between any two sites wherever on deep craters, mountains or other challenging landforms that are difficult to reach by direct ground movement. The robot integrates the functions of a lander and a rover, including folding, deploying, repetitive landing, and walking. A landing control method via compliance control is proposed to solve the critical problem of impact energy dissipation to realize buffer landing. Repetitive landing experiments on a five-degree-of-freedom lunar gravity testing platform are performed. Under the landing conditions with a vertical velocity of 2.1 m/s and a loading weight of 140 kg, the torque safety margin is 10.3% and 16.7%, and the height safety margin is 36.4% and 50.1% for the cases with or without an additional horizontal disturbance velocity of 0.4 m/s, respectively. The study provides a novel insight into the next-generation lunar exploration equipment.

Graphical abstract

Keywords

landing and walking robot / lunar exploration / buffer landing / compliance control

Cite this article

Download citation ▾
Ke YIN, Chenkun QI, Yue GAO, Qiao SUN, Feng GAO. Landing control method of a lightweight four-legged landing and walking robot. Front. Mech. Eng., 2022, 17(4): 51 DOI:10.1007/s11465-022-0707-1

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Lin R F , Guo W Z , Li M . Novel design of legged mobile landers with decoupled landing and walking functions containing a rhombus joint. Journal of Mechanisms and Robotics, 2018, 10(6): 061017

[2]

Lucas J W , Conel J E , Hagemeyer W A , Garipay R R , Saari J M . Lunar surface thermal characteristics from Surveyor 1. Journal of Geophysical Research, 1967, 72(2): 779–789

[3]

Williams R J , Gibson E K . The origin and stability of lunar goethite, hematite and magnetite. Earth and Planetary Science Letters, 1972, 17(1): 84–88

[4]

Gisler M , Sornette D . Exuberant innovations: the Apollo program. Society, 2009, 46(1): 55–68

[5]

Basilevsky A T , Abdrakhimov A M , Head J W , Pieters C M , Wu Y Z , Xiao L . Geologic characteristics of the Luna 17/Lunokhod 1 and Chang’e-3/Yutu landing sites, Northwest Mare Imbrium of the Moon. Planetary and Space Science, 2015, 117: 385–400

[6]

Ma Y Q , Liu S C , Sima B , Wen B , Peng S , Jia Y . A precise visual localisation method for the Chinese Chang’e-4 Yutu-2 rover. Photogrammetric Record, 2020, 35(169): 10–39

[7]

Xu Z , Guo D J , Liu J Z . Maria basalts chronology of the Chang’e-5 sampling site. Remote Sensing, 2021, 13(8): 1515

[8]

Zhang T , Zhang W M , Wang K , Gao S , Hou L , Ji J H , Ding X L . Drilling, sampling, and sample-handling system for China’s asteroid exploration mission. Acta Astronautica, 2017, 137: 192–204

[9]

Salzberg I M . Tracking the Apollo lunar rover with interferometry techniques. Proceedings of the IEEE, 1973, 61(9): 1233–1236

[10]

Kim D , Jorgensen S J , Lee J , Ahn J , Luo J W , Sentis L . Dynamic locomotion for passive-ankle biped robots and humanoids using whole-body locomotion control. The International Journal of Robotics Research, 2020, 39(8): 936–956

[11]

Raibert M , Blankespoor K , Nelson G , Playter R . BigDog, the rough-terrain quadruped robot. IFAC Proceedings Volumes, 2008, 41(2): 10822–10825

[12]

Semini C , Barasuol V , Goldsmith J , Frigerio M , Focchi M , Gao Y , Caldwell D G . Design of the hydraulically actuated, torque-controlled quadruped robot HyQ2Max. IEEE/ASME Transactions on Mechatronics, 2017, 22(2): 635–646

[13]

Bartsch S , Birnschein T , Cordes F , Kuehn D , Kampmann P , Hilljegerdes J , Planthaber S , Roemmermann M , Kirchner F . SpaceClimber: development of a six-legged climbing robot for space exploration. In: Proceedings of ISR 2010 (the 41st International Symposium on Robotics) and ROBOTIK 2010 (the 6th German Conference on Robotics). Munich: VDE, 2010, 1–8

[14]

Dirk S , Frank K . The bio-inspired scorpion robot: design, control & lessons learned. In: Zhang H X, ed. Climbing and Walking Robots: Towards New Applications. London: IntechOpen, 2007, 197–218

[15]

Bledt G , Powell M J , Katz B , Di Carlo J , Wensing P M , Kim S . MIT Cheetah 3: design and control of a robust, dynamic quadruped robot. In: Proceedings of 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. Madrid: IEEE, 2018, 2245–2252

[16]

Hutter M , Gehring C , Jud D , Lauber A , Bellicoso C D , Tsounis V , Hwangbo J , Bodie M , K R , Fankhauser S , P A , Bloesch M . ANYmal—a highly mobile and dynamic quadrupedal robot. In: Proceedings of 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Daejeon: IEEE, 2016, 38–44

[17]

Arm P , Zenkl R , Barton P , Beglinger L , Dietsche A , Ferrazzini L , Hampp E , Hinder J , Huber C , Schaufelberger D , Schmitt F , Sun B , Stolz B , Kolvenbach H , Hutter M . SpaceBok: a dynamic legged robot for space exploration. In: Proceedings of 2019 International Conference on Robotics and Automation (ICRA). Montreal: IEEE, 2019, 6288–6294

[18]

Kolvenbach H , Hampp E , Barton P , Zenkl R , Hutter M . Towards jumping locomotion for quadruped robots on the moon. In: Proceedings of 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Macao: IEEE, 2019, 5459–5466

[19]

Zhou J H , Chen M , Chen J B , Jia S . Optimal time-jerk trajectory planning for the landing and walking integration mechanism using adaptive genetic algorithm method. Review of Scientific Instruments, 2020, 91(4): 044501

[20]

Lin R F, Guo W Z, Li M, Hu Y, Han Y C. Novel design of a legged mobile lander for extraterrestrial planet exploration. International Journal of Advanced Robotic Systems, 2017, 14(6): 1729881417746120

[21]

Zhou J H , Jia S , Qian J C , Chen M , Chen J B . Improving the buffer energy absorption characteristics of movable lander-numerical and experimental studies. Materials, 2020, 13(15): 3340

[22]

Lin R F , Guo W Z , Zhao C J , Tang Y Y , Zhao C Y , Li Z Y . Topological design of a new family of legged mobile landers based on Truss-mechanism transformation method. Mechanism and Machine Theory, 2020, 149: 103787

[23]

Lin R F , Guo W Z . Type synthesis of reconfiguration parallel mechanisms transforming between trusses and mechanisms based on friction self-locking composite joints. Mechanism and Machine Theory, 2022, 168: 104597

[24]

Han Y C , Guo W Z , Peng Z K , He M D , Gao F , Yang J Z . Dimensional synthesis of the reconfigurable legged mobile lander with multi-mode and complex mechanism topology. Mechanism and Machine Theory, 2021, 155: 104097

[25]

Han Y C , Zhou C Z , Guo W Z . Singularity loci, bifurcated evolution routes, and configuration transitions of reconfigurable legged mobile lander from adjusting, landing, to roving. Journal of Mechanisms and Robotics, 2021, 13(4): 040903

[26]

Lorenz R D , Turtle E P , Barnes J W , Trainer M G , Adams D S , Hibbard K E , Sheldon C Z , Zacny K , Peplowski P N , Lawrence D J , Ravine M , McGee T G , Sotzen K , MacKenzie S M , Langelaan J , Schmitz S , Wolfarth L S , Bedini P D . Dragonfly: a rotorcraft lander concept for scientific exploration at Titan. Johns Hopkins APL Technical Digest, 2018, 34(3): 374–385

[27]

Balaram J , Aung M , Golombek M P . The Ingenuity helicopter on the perseverance rover. Space Science Reviews, 2021, 217(4): 56

[28]

Yin K , Zhou S L , Sun Q , Gao F . Lunar surface fault-tolerant soft-landing performance and experiment for a six-legged movable repetitive lander. Sensors, 2021, 21(17): 5680

[29]

Sun Q , Gao F , Chen X B . Towards dynamic alternating tripod trotting of a pony-sized hexapod robot for disaster rescuing based on multi-modal impedance control. Robotica, 2018, 36(7): 1048–1076

[30]

Luo J W , Wang S G , Zhao Y , Fu Y L . Variable stiffness control of series elastic actuated biped locomotion. Intelligent Service Robotics, 2018, 11(3): 225–235

[31]

Yin K , Sun Q , Gao F , Zhou S L . Lunar surface soft-landing analysis of a novel six-legged mobile lander with repetitive landing capacity. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2022, 236(2): 1214–1233

[32]

McGhee R B , Frank A A . On the stability properties of quadruped creeping gaits. Mathematical Biosciences, 1968, 3: 331–351

[33]

Katsikis V N , Pappas D . Fast computing of the Moore–Penrose inverse matrix. Electronic Journal of Linear Algebra, 2008, 17: 637–650

[34]

Courrieu P . Fast computation of Moore–Penrose inverse matrices. Neural Information Processing—Letters and Reviews, 2005, 8(2): 25–29

[35]

Toutounian F , Ataei A . A new method for computing Moore–Penrose inverse matrices. Journal of Computational and Applied Mathematics, 2009, 228(1): 412–417

[36]

Katsikis V N , Pappas D , Petralias A . An improved method for the computation of the Moore–Penrose inverse matrix. Applied Mathematics and Computation, 2011, 217(23): 9828–9834

[37]

Esmaeili H , Erfanifar R , Rashidi M . An efficient method to compute the Moore–Penrose inverse. Advances in Pure and Applied Mathematics, 2018, 9(2): 143–152

[38]

Lu S X , Wang X Z , Zhang G Q , Zhou X . Effective algorithms of the Moore–Penrose inverse matrices for extreme learning machine. Intelligent Data Analysis, 2015, 19(4): 743–760

[39]

Ataei A . Improved Qrginv algorithm for computing Moore–Penrose inverse matrices. ISRN Applied Mathematics, 2014, 2014: 641706

AI Summary AI Mindmap
PDF (9052KB)

4078

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/