A dexterous and compliant aerial continuum manipulator for cluttered and constrained environments

被引:0
|
作者
Peng, Rui [1 ]
Wang, Yu [1 ]
Lu, Minghao [1 ]
Lu, Peng [1 ]
机构
[1] Univ Hong Kong, Dept Mech Engn, Hong Kong, Peoples R China
关键词
VISUAL SERVO; ROBOTS;
D O I
10.1038/s41467-024-55157-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Aerial manipulators can manipulate objects while flying, allowing them to perform tasks in dangerous or inaccessible areas. Advanced aerial manipulation systems are often based on rigid-link mechanisms, but the balance between dexterity and payload capacity limits their broader application. Combining unmanned aerial vehicles with continuum manipulators emerges as a solution to this trade-off, but these systems face challenges with large actuation systems and unstable control. To address these challenges, we propose Aerial Elephant Trunk, an aerial continuum manipulator inspired by the elephant trunk, featuring a small-scale quadrotor and a dexterous, compliant tendon-driven continuum arm for versatile operation in both indoor and outdoor settings. We develop state estimation for the quadrotor using an Extended Kalman Filter, shape estimation for the continuum arm based on piecewise constant curvature, and whole-body motion planning using minimum jerk principles. Through comprehensive fundamental verifications, we demonstrate that our system can adapt to various constrained environments, such as navigating through narrow holes, tubes, or crevices, and can handle a range of objects, including slender, deformable, irregular, or heavy items. Our system can potentially be deployed in challenging conditions, such as pipeline maintenance or electricity line inspection at high altitudes.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Improving Unmanned Aerial Vehicle Pilot Training and Operation for Flying in Cluttered Environments
    Hing, James T.
    Sevcik, Keith W.
    Oh, Paul Y.
    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 5641 - 5646
  • [42] High-Speed Motion Planning for Aerial Swarms in Unknown and Cluttered Environments
    Toumieh, Charbel
    Floreano, Dario
    IEEE TRANSACTIONS ON ROBOTICS, 2024, 40 : 3642 - 3656
  • [43] Soft Robotic System with Continuum Manipulator and Compliant Gripper: Design, Fabrication, and Implementation
    Fenjan, Shakir Qaddoori
    Dehkordi, Siavash Fathollahi
    ACTUATORS, 2024, 13 (08)
  • [44] Integrated design of an aerial soft-continuum manipulator for predictive maintenance
    Yang, Xinrui
    Kahouadji, Mouad
    Lakhal, Othman
    Merzouki, Rochdi
    FRONTIERS IN ROBOTICS AND AI, 2022, 9
  • [45] Estimating the Configuration of a Continuum Dexterous Manipulator with Variable Curvature Bending Using Partial Shape-Sensing
    Murphy, Ryan J.
    Armand, Mehran
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 5268 - 5271
  • [46] Generating 6-D Trajectories for Omnidirectional Multirotor Aerial Vehicles in Cluttered Environments
    Liu, Peiyan
    Shen, Yuanzhe
    Liu, Yueqian
    Quan, Fengyu
    Wang, Can
    Chen, Haoyao
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (10): : 8818 - 8825
  • [47] Fast-Tracker: A Robust Aerial System for Tracking Agile Target in Cluttered Environments
    Han, Zhichao
    Zhang, Ruibin
    Pan, Neng
    Xu, Chao
    Gao, Fei
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 328 - 334
  • [48] Real-time visual tracking design for an unmanned aerial vehicle in cluttered environments
    Liang, Juntao
    Yi, Peng
    Li, Wei
    Zuo, Jiaxuan
    Zhu, Bo
    Wang, Yong
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2025, 46 (02): : 476 - 492
  • [49] Decentralized Swarm Trajectory Generation for LiDAR-based Aerial Tracking in Cluttered Environments
    Yin, Longji
    Zhu, Fangcheng
    Ren, Yunfan
    Kong, Fanze
    Zhang, Fu
    2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2023, : 9285 - 9292
  • [50] Strategies for Speeding Up Manipulator Path Planning to Find High Quality Paths in Cluttered Environments
    Rajendran, Pradeep
    Thakar, Shantanu
    Bhatt, Prahar M.
    Kabir, Ariyan M.
    Gupta, Satyandra K.
    JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2021, 21 (01)