Bio-inspired Soft Aerial Robots: Adaptive Morphology for High-Performance Flight

被引:11
|
作者
Sareh, Sina [1 ]
Siddall, Robert [1 ]
Alhinai, Talib [1 ]
Kovac, Mirko [1 ]
机构
[1] Imperial Coll London, Dept Aeronaut, Aerial Robot Lab, London, England
基金
英国工程与自然科学研究理事会;
关键词
CONSTRUCTION; DISPERSAL; EVOLUTION; INSECT;
D O I
10.1007/978-3-319-46460-2_9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The application of soft architectures in robotics offers the potential to reduce control complexity while increasing versatility, performance and robustness of robot operation. However, current aerial robots tend to have rigid body structures, and rely predominantly on abundant sensing and dynamic closed loop control to fly. In contrast, flying animals combine sensing and control with adaptive body designs, exploiting fluid dynamic and biomechanical effects to achieve very high levels of operational robustness and multiple functionalities. This paper provides an overview of several examples in which softness is used in aerial robotics, outlining instances where inspiration from biology can be taken to develop next generation aerial robots which selectively use soft materials and adaptive morphologies to achieve high-performance flight behaviours. For illustration we describe three case studies where soft structures have been used in aerial robots: (1) to enable multi-modal mobility across terrain interfaces and fluid boundaries, (2) for robust perching in complex environments and (3) to repair and manufacture infrastructure components. These examples show the benefits that can be gained through the application of soft technologies and they outline how the bio-inspired approaches can be used to develop the next generation of flying robots.
引用
收藏
页码:65 / 74
页数:10
相关论文
共 50 条
  • [31] A Bio-Inspired Goal-Directed Visual Navigation Model for Aerial Mobile Robots
    Mao, Jun
    Hu, Xiaoping
    Zhang, Lilian
    He, Xiaofeng
    Milford, Michael
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 100 (01) : 289 - 310
  • [32] A bio-inspired flight control strategy for a tail-sitter unmanned aerial vehicle
    Bin ZHU
    Jianzhong ZHU
    Qingwei CHEN
    Science China(Information Sciences), 2020, 63 (07) : 88 - 97
  • [33] Design and Flight Testing of a Bio-Inspired Plume Tracking Algorithm for Unmanned Aerial Vehicles
    Letheren, Ben
    Montes, Glen
    Villa, Tommaso
    Gonzalez, Felipe
    2016 IEEE AEROSPACE CONFERENCE, 2016,
  • [34] A bio-inspired flight control strategy for a tail-sitter unmanned aerial vehicle
    Zhu, Bin
    Zhu, Jianzhong
    Chen, Qingwei
    SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (07)
  • [35] Simplified Model for Forward-Flight Transitions of a Bio-Inspired Unmanned Aerial Vehicle
    Sanchez-Laulhe, Ernesto
    Fernandez-Feria, Ramon
    Ollero, Anibal
    AEROSPACE, 2022, 9 (10)
  • [36] A bio-inspired flight control strategy for a tail-sitter unmanned aerial vehicle
    Bin Zhu
    Jianzhong Zhu
    Qingwei Chen
    Science China Information Sciences, 2020, 63
  • [37] Towards a bio-inspired soft chemistry
    Livage, Jacques
    ACTUALITE CHIMIQUE, 2011, (348-49): : 64 - 69
  • [38] A Bio-inspired Knee Joint for Biped Robots
    Liu, Yixiang
    Zang, Xizhe
    Lin, Zhenkun
    Liu, Xinyu
    Zhao, Jie
    2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2016, : 1387 - 1391
  • [39] Special Issue on Advances in Bio-Inspired Robots
    Seo, TaeWon
    Yun, Dongwon
    Jung, Gwang-Pil
    APPLIED SCIENCES-BASEL, 2021, 11 (18):
  • [40] Bio-Inspired Rhythmic Locomotion for Quadruped Robots
    Sheng, Jiapeng
    Chen, Yanyun
    Fang, Xing
    Zhang, Wei
    Song, Ran
    Zheng, Yu
    Li, Yibin
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (03) : 6782 - 6789