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AMM: An Aerial Modular Manipulator Based on Standardized Modules

  • Yuelei Fang
  • , Ye Li
  • , Yijian Zhang
  • , Ziqi Wang
  • , Daming Liu
  • , Shouyi Zhang
  • , Nanlin Zhou
  • , Sikai Zhao
  • , Jie Zhao
  • , Yanhe Zhu*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • School of Astronautics, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In specialized missions such as rubble rescue and unstructured space exploration, aerial manipulators play a critical role. The core challenge lies in the inability of fixed-configuration aerial manipulators to adapt to dynamic environments and evolving task requirements. To address this, this study proposes an aerial modular manipulator (AMM) system based on standardized isomorphic modules. By varying module quantities and assembly configurations, this system achieves reconfigurable operational capabilities tailored to mission-specific demands. Introduce the virtual rotation axis to describe the assembly configuration relationship between modules and establish a unified kinematic model. To accommodate configuration changes arising from module reconfiguration and UAV coupling, neural network-based estimation of dynamic characteristics is implemented. An attitude extended state observer (AESO) is designed to estimate real-time attitude disturbances induced by manipulator motion and payload variations. Experimental validation demonstrates: During configuration switching, AMM exhibits a maximum attitude deviation ≤12 (recovery time: 1 ± 0.21 s). Success rates in grasping tasks show progressive gradients: 93.8% for lightweight deformable objects, 87.5% and 93.8% for medium-load and heavy-load irregular objects respectively, 81.3% for heterogeneous eccentric-load objects and 75.0% for heavy-load irregular objects. These results verify the system’s comprehensive adaptability to geometric features, material properties, and dynamic behaviors within a 500 g payload range.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 18th International Conference, ICIRA 2025, Proceedings
EditorsTakayuki Matsuno, Honghai Liu, Lianqing Liu, Zhouping Yin, Xiangyang Zhu, Weihong Ren, Zhiyong Wang, Yixuan Sheng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages185-196
Number of pages12
ISBN (Print)9789819521005
DOIs
StatePublished - 2026
Event18th International Conference on Intelligent Robotics and Applications, ICIRA 2025 - Okayama, Japan
Duration: 6 Aug 20259 Aug 2025

Publication series

NameLecture Notes in Computer Science
Volume16076 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Intelligent Robotics and Applications, ICIRA 2025
Country/TerritoryJapan
CityOkayama
Period6/08/259/08/25

Keywords

  • AESO
  • Aerial manipulator
  • Modular manipulator

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