Anti-interference analysis of bio-inspired musculoskeletal robotic system q

被引:19
|
作者
Wu, Yaxiong [1 ,5 ]
Chen, Jiahao [2 ,4 ]
Qiao, Hong [2 ,3 ,4 ]
机构
[1] Univ Sci & Technol Beijing, Sch Mech Engn, Beijing 100083, Peoples R China
[2] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[3] CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China
[4] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
[5] Beijing Key Lab Res & Applicat Robot Intelligence, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Musculoskeletal system; Biologically inspired; Muscle model; MUSCLE; MODEL; HEAT;
D O I
10.1016/j.neucom.2021.01.054
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Compared with general joint-link robotic systems, bio-inspired musculoskeletal robotic systems offer the advantages of higher robustness, flexibility, and redundancy. Hence, they are a promising option for the development of next-generation robots. However, theoretical analysis regarding the superiorities of mus-culoskeletal systems is scarce. This study analyzes and proves the anti-interference of a musculoskeletal system both mathematically and experimentally. a) A new method to calculate the control signals of a highly nonlinear and deeply coupled musculoskeletal system is proposed, and the redundancy range is provided. The result shows that each movement of the system can be realized by multiple control signals in a subspace. b) The anti-interference to control signals caused by the nonlinear driving mechanism of muscles and the cou-pled feedback effect of the skeletal system are analyzed. The simulation results prove that the bio-inspired musculoskeletal robotic arm has a smaller tracking error than the joint-link robotic arm under the same perturbations of the control signals. T he theoretical analysis is consistent with the simulation results, thereby providing a theoretical refer-ence for the application of bio-inspired musculoskeletal robotic systems. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页码:114 / 125
页数:12
相关论文
共 50 条
  • [1] MUSCULOSKELETAL SYSTEM OF BIO-INSPIRED ROBOTIC SYSTEMS
    Tadesse, Yonas
    Wu, Lianjun
    Saharan, Lokesh K.
    MECHANICAL ENGINEERING, 2016, 138 (03) : 11 - 16
  • [2] The Stability and Anti-interference Characteristics of Neuron Facing on Bio-inspired Electromagnetic Protection
    Zhang M.
    Yang X.
    Zhang G.
    Bai Y.
    Zhang M.
    Yu Z.
    Gaodianya Jishu/High Voltage Engineering, 2023, 49 (07): : 3110 - 3118
  • [3] MUSCULOSKELETAL SYSTEM FOR BIO-INSPIRED ROBOTIC SYSTEMS BASED ON BALL AND SOCKET JOINTS
    Wu, Lianjun
    Tadesse, Yonas
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2016, VOL. 4A, 2017,
  • [4] Algorithms for the analysis and synthesis of a bio-inspired swarm robotic system
    Berman, Spring
    Halasz, Adam
    Kumar, Vijay
    Pratt, Stephen
    SWARM ROBOTICS, 2007, 4433 : 56 - +
  • [5] Review on Bio-Inspired Modular Robotic System
    Sheela, Gnana K.
    Menon, Parvathy J.
    Swetha, S.
    Vandana, C. M.
    Mendez, Riya
    MATERIALS TODAY-PROCEEDINGS, 2020, 24 : 1918 - 1923
  • [6] Bio-Inspired Robotic Systems
    DeVries, Levi
    Kiriakidis, Kiriakos
    MECHANICAL ENGINEERING, 2016, 138 (03)
  • [7] Bio-inspired directional microphone for robotic hearing system
    Rahaman, Ashiqur
    Kim, Byungki
    2020 20TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2020, : 1120 - 1123
  • [8] The Implementation of a Novel, Bio-Inspired, Robotic Security System
    Oates, Robert
    Milford, Michael
    Wyeth, Gordon
    Kendall, Graham
    Garibaldi, Jonathan M.
    ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7, 2009, : 1337 - +
  • [9] Ultrasensitive Anti-Interference Voice Recognition by Bio-Inspired Skin-Attachable Self-Cleaning Acoustic Sensors
    Truong-Son Dinh Le
    An, Jianing
    Huang, Yi
    Quoc Vo
    Boonruangkan, Jeeranan
    Tuan Tran
    Kim, Seung-Woo
    Sun, Gengzhi
    Kim, Young-Jin
    ACS NANO, 2019, 13 (11) : 13293 - 13303
  • [10] BIO-INSPIRED ROBOTIC UNDULATORY STINGRAY
    Studebaker, Emily
    Ermlick, William
    Warner, Rickey
    Hart, Brandon
    Pandey, Aanand
    Smith, Heather
    Sienkiewicz, Luke
    Baillargeon, Joseph
    Roberson, Nathan
    An, Jianyu
    Gater, Brittany
    Feaster, Jeffrey
    Jung, Sunghwan
    Bayandor, Javid
    PROCEEDINGS OF THE ASME FLUIDS ENGINEERING DIVISION SUMMER MEETING, 2016, VOL 1A, 2016,