@inproceedings{50d00a87380a44e68f7bc53b67715123,
title = "AMM: An Aerial Modular Manipulator Based on Standardized Modules",
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{\textquoteright}s comprehensive adaptability to geometric features, material properties, and dynamic behaviors within a 500 g payload range.",
keywords = "AESO, Aerial manipulator, Modular manipulator",
author = "Yuelei Fang and Ye Li and Yijian Zhang and Ziqi Wang and Daming Liu and Shouyi Zhang and Nanlin Zhou and Sikai Zhao and Jie Zhao and Yanhe Zhu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 18th International Conference on Intelligent Robotics and Applications, ICIRA 2025 ; Conference date: 06-08-2025 Through 09-08-2025",
year = "2026",
doi = "10.1007/978-981-95-2101-2\_16",
language = "英语",
isbn = "9789819521005",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "185--196",
editor = "Takayuki Matsuno and Honghai Liu and Lianqing Liu and Zhouping Yin and Xiangyang Zhu and Weihong Ren and Zhiyong Wang and Yixuan Sheng",
booktitle = "Intelligent Robotics and Applications - 18th International Conference, ICIRA 2025, Proceedings",
address = "德国",
}