Force-closure orchard dexterous hand grasping model

Authors

  • Xulan Bao College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
  • Mengtao Ren College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
  • Xiaojie Ma College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
  • Biyu Chen College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
  • Yougang Bao College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
  • Jincheng Mao School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 432200, China

DOI:

https://doi.org/10.25165/ijabe.v18i4.8925

Keywords:

digital orchard, dexterous hand, orchard gesture, force-closure

Abstract

The digital orchard is an important trend for the future development of orchards towards intelligentization. The current wide variety of orchard gripping objects with different sizes and material characteristics brings challenges for gripping operations. In order to improve the versatility and dexterity of the orchard end-effector, a humanoid 14-degree-of-freedom orchard dexterous hand is designed for agronomic operations. An optimal design scheme of the orchard dexterous hand combining orchard gesture analysis and human hand structure is proposed, and the design of the modular fingers, palm, and overall structure of the orchard dexterous hand is completed. The orthogonal and inverse kinematics model of the dexterous hand is established to analyze the motion space of the fingertips, and the dexterity of the orchard dexterous hand is verified by combining with the Kapandji test. The equivalent distribution model of the contact force is solved according to the Hertz theory, and the grasping matrix is established based on the friction surface contact model to realize force-closure, which describes the relationship between the finger and the object being grasped in the configuration. The experimental platform of dexterous hand in the orchard is built, and the experiments of gesture formation, grasping, and contact force testing are carried out. The results show that the dexterous hand can form all kinds of gestures commonly used in the orchard and can grasp spherical fruit with diameters of 26-90 mm, masses of 11-238 g, and all kinds of orchard-specific working tools; for navel oranges with masses of 234 g, the dexterous hand can realize stable grasping under different gestures. This provides a theoretical basis and technical support for the realization of complex agronomy in orchards. Keywords: digital orchard, dexterous hand, orchard gesture, force-closure DOI: 10.25165/j.ijabe.20251804.8925 Citation: Bao X L, Ren M T, Ma X J, Chen B Y, Bao Y G, Mao J C. Force-closure orchard dexterous hand grasping model. Int J Agric & Biol Eng, 2025; 18(4): 139–148.

References

Zheng Y J, Jiang S J, Chen B T, Lu H T, Wang C, Kang F, et al. Review on technology and equipment of mechanization in hilly orchard. Transactions of the CSAM, 2020; 51(11): 1–20.

Zhao C J. Current situations and prospects of smart agriculture. Journal of South China Agricultural University, 2021; 42(6): 1–7.

Liu C L, Gong L, Yuan J, Li Y M. Current Status and Development Trends of Agricultural Robots. Transactions of the CSAM, 2022; 53(7): 1–22,55.

Zhou J G, Wang Y K, Chen J, Luo T Y, Hu G R, Jia J L, et al. Research hotspots and development trends of harvesting robots based on bibliometric analysis and knowledge graphs. Int J Agric & Biol Eng, 2024; 17(6): 1–10.

Yuan Y W, Bai S H, Niu K, Zhou L M, Zhao B, Wei L G, et al. Research progress on mechanized harvesting technology and equipment for forest fruit. Transactions of the CSAE, 2022; 38(9): 53–63. DOI: 10.11975/ j.issn.1002-6819.2022.09. 006.

Jia J M, Ye Y Z, Cheng P L, Zhu Y P, Fu X P, Chen J N. Design and Experimental Optimization of Hand-held Manipulator for Picking Famous Tea Shoot. Transactions of the CSAM, 2022; 53(5): 86–92. DOI: 10.6041/ j.issn.1000-1298. 2022.05.009.

Ji J T, Du S C, Li M S, Zhu X F, Zhao K X, Zhang S H, et al. Design and experiment of a picking robot for Agaricus bisporus based on machine vision. Int J Agric & Biol Eng, 2024; 17(4): 67–76.

Wang Z, Wang Q Y, Lou M Z, Wu F, Zhu Y N, Hu D, et al. Geometric based apple suction strategy for robotic packaging. Int J Agric & Biol Eng, 2024; 17(3): 12–20.

Tinoco V, Silva M F, Santos F N, Rocha L F, Magalhaes S, Santos L. A review of pruning and harvesting manipulators. IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 2021: pp.155–160.

Pan Y F, Zhou Y, He L, Song L, Song L, Song Z S, Zhu H. Research progress of orchard pruning machine. Journal of Agricultural Mechanization Research, 2023; 45(7): 261–268.

Zahid A, Mahmud M S, Long H, Heinemann P, Choi D, Schupp J. Technological advancements towards developing a robotic pruner for apple trees: A review. Computers and Electronics in Agriculture, 2021; 189: 106383.

Zhou K H, Xia L R, Liu J, Qian M Y, Pi J. Design of a flexible endeffector based on characteristics of tomatoes. Int J Agric & Biol Eng, 2022; 15(2): 13–24.

Lin Y F, Liang H, Tong J H, Shen H Y, Fu X P, Wu C Y. Design and feasibility analysis of a graded harvesting end-effector with the function of soluble solid content estimation. Int J Agric & Biol Eng, 2024; 17(5): 239–246.

Gao J, Zhang F, Zhang J, Yuan T, Yin J, Guo H, et al. Development and evaluation of a pneumatic finger-like end-effector for cherry tomato harvesting robot in greenhouse. Computers and Electronics in Agriculture, 2022; 197: 106879.

Wei B, He J Y, Shi Y, Jiang G L, Zhang X Y, Ma Y. Design and experiment of underactuated end-effector for citrus picking. Transactions of the CSAM, 2021; 52(10): 120–128.

Zahid A, Mahmud M S, He L, Choi D, Heinemann P, Schupp J. Development of an integrated 3R end-effector with a cartesian manipulator for pruning apple trees. Computers and Electronics in Agriculture, 2020; 179: 105837.

Jongpyo J, Jeongin K, Jaehwi S, Jeongeun K, Hyoung S I. Towards an efficient tomato harvesting robot: 3D perception, manipulation, and endeffector. IEEE Access, 2021; 9: 17631–17640.

Zhao Y X, Wan X F, Duo H X. Review of rigid fruit and vegetable picking robots. Int J Agric & Biol Eng, 2023; 16(5): 1–11.

Cai S B, Tao Z C, Wan W W, Yu H Y, Bao G J. Multi-fingered Dexterous Hands: From Simplicity to Complexity and Simplifying Complex Applications. Journal of Mechanical Engineering, 2021; 57(15): 1–14.

Xu Y L, Xu S X, Xu X, Zhao C L, Yang A L. Kinematics and grasping analysis of SHU-II five-finger dexterous hand. Chinese Journal of Scientific Instrument, 2018; 39(9): 30–39.

Deepak R B, Pramod K P, Alok R B. Enhancing dexterous grasping and manipulation through linkage-driven under actuated five-fingered robotic hand: A Computational Approach. International Journal of Mechanical Engineering and Robotics Research, 2024; 13(5): 548–557.

Cao S K, Bao G J, Pan L F, Yang B C, Zhou X Y. Structural and experimental study of a multi-finger synergistic adaptive humanoid dexterous hand. Biomimetics, 2025; 10(3): 155–175.

Melchiorri C, Palli G, Berselli G, Vassura G. Development of the UB hand IV: Overview of design solutions and enabling technologies. IEEE Robotics & Automation Magazine, 2013; 20(3): 72–81.

Tao Z, Sheng S, Chen Z, Bao G. Novel design method for multiconfiguration dexterous hand based on a gesture primitives analysis. Industrial Robot: the International Journal of Robotics Research and Application, 2021; 48(3): 463–472.

Kim U, Jung D, Jeong H, Park J, Jung H M, Cheong J, et al. Integrated linkage-driven dexterous anthropomorphic robotic hand. Nature Communications, 2021; 12(1): 7177.8.

Li S, Ma X, Liang H, Görner M, Ruppel P, Fang B, et al. Vision-based teleoperation of shadow dexterous hand using end-to-end deep neural network. International Conference on Robotics and Automation (ICRA). IEEE, 2019; pp.416–422.

Cerulo I, Ficuciello F, LippielloV, Siciliano B. Teleoperation of the SCHUNK S5FH under-actuated anthropomorphic hand using human hand motion tracking. Robotics and Autonomous Systems, 2017; 89: 75–84.

Capsi-Morales P, Barsakcioglu D Y, Catalano M G, Grioli G, Bicchi A, Farina D. Merging motoneuron and postural synergies in prosthetic hand design for natural bionic interfacing. Science Robotics, 2025; 10(98): eado9509.

Piazza C, Grioli G, Catalano M G, Bicchi A. A century of robotic hands. Annual Review of Control Robotics and Autonomous Systems, 2019; 2: 1–32.

Feix T, Bullock I M, Dollar A M. Analysis of human grasping behavior: Correlating tasks, objects and grasps. IEEE Transactions on Haptics, 2014; 7(4): 430–441.

Feix T, Romere J, Schmiedmayer H B, Dollar A M, Kragic D. The grasp taxonomy of human grasp types. IEEE Transactions on Human-Machine Systems, 2015; 46(1): 66–77.

Kapandji A. Clinical test of apposition and counter-apposition of the thumb. Annales de Chirurgie de la Main: Organe Officiel des Societes de Ohirurgie de la Main, 1985; 5(1): 67–73.

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Published

2025-08-21

How to Cite

Bao, X., Ren, M., Ma, X., Chen, B., Bao, Y., & Mao, J. (2025). Force-closure orchard dexterous hand grasping model. International Journal of Agricultural and Biological Engineering, 18(4), 139–148. https://doi.org/10.25165/ijabe.v18i4.8925

Issue

Vol. 18 No. 4 (2025): IJABE

Section

Power and Machinery Systems

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