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Aerial manipulation combines the versatility and speed of flying platforms with the functional capabilities of mobile manipulation, which presents significant challenges due to the need for precise localization and control. Traditionally,…

Problems associated with physical interactions using aerial mobile manipulators (AMM) are being independently addressed with respect to mobility and manipulability. Multirotor unmanned aerial vehicles (UAV) are a common choice for mobility…

Robotics · Computer Science 2020-10-20 Abbaraju Praveen , Haoguang Yang , Hyukjun Jang , Richard M Voyles

Aerial manipulators (AMs) are gaining increasing attention in automated transportation and emergency services due to their superior dexterity compared to conventional multirotor drones. However, their practical deployment is challenged by…

Robotics · Computer Science 2026-02-02 Biyu Ye , Na Fan , Zhengping Fan , Weiliang Deng , Hongming Chen , Qifeng Chen , Ximin Lyu

This paper investigates payload grasping from a moving platform using a hook-equipped aerial manipulator. First, a computationally efficient trajectory optimization based on complementarity constraints is proposed to determine the optimal…

Robotics · Computer Science 2025-04-30 Péter Antal , Tamás Péni , Roland Tóth

Current mobile manipulators and high-fidelity simulators lack the ability to seamlessly operate and simulate across integrated environments spanning sea, air, and land. To address this gap, we introduce Aerial-Aquatic Manipulators (AAMs) in…

Aerial manipulators based on conventional multirotors can conduct manipulation only in small roll and pitch angles due to the underactuatedness of the multirotor base. If the multirotor base is capable of hovering at arbitrary orientation,…

Robotics · Computer Science 2025-08-28 Dongjae Lee , Byeongjun Kim , H. Jin Kim

Aerial manipulation aims at combining the manoeuvrability of aerial vehicles with the manipulation capabilities of robotic arms. This, however, comes at the cost of the additional control complexity due to the coupling of the dynamics of…

Robotics · Computer Science 2020-06-04 Dimos Tzoumanikas , Felix Graule , Qingyue Yan , Dhruv Shah , Marija Popovic , Stefan Leutenegger

Autonomous aerial systems play an increasingly vital role in a wide range of applications, particularly for transport and delivery tasks in complex environments. In airdrop missions, these platforms face the dual challenges of abrupt…

Robotics · Computer Science 2025-07-21 Ziliang Li , Hongming Chen , Yiyang Lin , Biyu Ye , Ximin Lyu

This paper presents a family of autonomous Unmanned Aerial Vehicles (UAVs) platforms designed for a diverse range of indoor and outdoor applications. The proposed UAV design is highly modular in terms of used actuators, sensor…

High risk of a collision between rotor blades and the obstacles in a complex environment imposes restrictions on the aerial manipulators. To solve this issue, a novel system cable-Suspended Aerial Manipulator (SAM) is presented in this…

Tried-and-true flapping wing robot simulation is essential in developing flapping wing mechanisms and algorithms. This paper presents a novel application-oriented flapping wing platform, highly compatible with various mechanical designs and…

Robotics · Computer Science 2023-03-09 Chen Qian , Yongchun Fang , Fan jia , Jifu Yan , Yiming Liang , Tiefeng Li

Expressive motion planning for Aerial Manipulators (AMs) is essential for tackling complex manipulation tasks, yet achieving coupled trajectory planning adaptive to various tasks remains challenging, especially for those requiring…

Robotics · Computer Science 2025-09-30 Weiliang Deng , Hongming Chen , Biyu Ye , Haoran Chen , Ziliang Li , Ximin Lyu

Aerial manipulator, which is composed of an UAV (Unmanned Aerial Vehicle) and a multi-link manipulator and can perform aerial manipulation, has shown great potential of applications. However, dynamic coupling between the UAV and the…

Robotics · Computer Science 2024-01-12 Guangyu Zhang , Yuqing He , Bo Dai , Feng Gu , Jianda Han , Guangjun Liu

This paper addresses design, modeling and dynamic-compensation PID (dc-PID) control of a novel type of fully-actuated aerial manipulation (AM) system. Firstly, design of novel mechanical structure of the AM is presented. Secondly,…

Robotics · Computer Science 2017-09-26 Le Ma , Dong Wang , Zixu Hao , Jie Liu , Jiasen Sun , Siyu Wang

Aerial manipulation (AM) promises to move Unmanned Aerial Vehicles (UAVs) beyond passive inspection to contact-rich tasks such as grasping, assembly, and in-situ maintenance. Most prior AM demonstrations rely on external motion capture…

Robotics · Computer Science 2026-03-05 Yuanzhu Zhan , Yufei Jiang , Muqing Cao , Junyi Geng

Successful aerial manipulation largely depends on how effectively a controller can tackle the coupling dynamic forces between the aerial vehicle and the manipulator. However, this control problem has remained largely unsolved as the…

Robotics · Computer Science 2024-10-14 Rishabh Dev Yadav , Swati Dantu , Wei Pan , Sihao Sun , Spandan Roy , Simone Baldi

This paper presents an estimation and control algorithm for an aerial manipulator using a hexacopter with a 2-DOF robotic arm. The unknown parameters of a payload are estimated by an on-line estimator based on parametrization of the aerial…

Robotics · Computer Science 2016-01-12 Hyeonbeom Lee , Suseong Kim , H. Jin Kim

This paper proposes a decentralized passive impedance control scheme for collaborative grasping using under-actuated aerial manipulators (AMs). The AM system is formulated, using a proper coordinate transformation, as an inertially…

Robotics · Computer Science 2024-01-12 Jinyeong Jeong , Min Jun Kim

In the near future, autonomous space systems will compose many of the deployed spacecraft. Their tasks will involve autonomous rendezvous and proximity operations with large structures, such as inspections, assembly, and maintenance of…

This paper introduces a high-performance artificial intelligence operating system tailored for low-altitude aviation, designed to address key challenges such as real-time task execution, computational efficiency, and seamless modular…

Machine Learning · Computer Science 2025-01-07 Minzhe Tan , Xinlin Fan , Jian He , Yi Hou , Zhan Liu , Yaopeng Jiang , Y. M. Jiang
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