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In this paper, we introduce a multi robot payload transport system to carry payloads through an environment of unknown and uneven inclinations while maintaining the desired orientation of the payload. For this task, we used custom built…

机器人学 · 计算机科学 2025-12-22 Rishabh Dev Yadav , Shrey Agrawal , Kamalakar Karlapalem

Existing multirotor-based cargo transportation does not maintain a constant cargo attitude due to underactuation; however, fragile payloads may require a consistent posture. The conventional method is also cumbersome when loading cargo, and…

机器人学 · 计算机科学 2023-11-22 Wooyong Park , Xiangyu Wu , Dongjae Lee , Seung Jae Lee

Traditional aerial vehicles have limitations in their capabilities due to actuator constraints, such as motor saturation. The hardware components and their arrangement are designed to satisfy specific requirements and are difficult to…

机器人学 · 计算机科学 2023-05-30 Jiawei Xu , David Saldaña

In this report, we present the theory on aerodynamics of quadrotors using the well established momentum and blade element theories. From a robotics perspective, the theoretical development of the models for thrust and horizontal forces and…

流体动力学 · 物理学 2016-01-06 Moses Bangura , Marco Melega , Roberto Naldi , Robert Mahony

Though control algorithms for multirotor Unmanned Air Vehicle (UAV) are well understood, the configuration, parameter estimation, and tuning of flight control algorithms takes quite some time and resources. In previous work, we have shown…

机器人学 · 计算机科学 2025-03-18 Till M. Blaha , Ewoud J. J. Smeur , Bart D. W. Remes , Coen C. de Visser

Omnidirectional aerial vehicles (OMAVs) have opened up a wide range of possibilities for inspection, navigation, and manipulation applications using drones. In this paper, we introduce MorphEUS, a morphable co-axial quadrotor that can…

The joint optimization of physical parameters and controllers in robotic systems is challenging. This is due to the difficulties of predicting the effect that changes in physical parameters have on final performances. At the same time,…

机器人学 · 计算机科学 2026-03-12 Carlo Bosio , Mark W. Mueller

Morphable design and depth-based visual control are two upcoming trends leading to advancements in the field of quadrotor autonomy. Stereo-cameras have struck the perfect balance of weight and accuracy of depth estimation but suffer from…

机器人学 · 计算机科学 2020-11-09 Nitin J. Sanket , Chahat Deep Singh , Varun Asthana , Cornelia Fermüller , Yiannis Aloimonos

This paper discusses the conceptual design and proof-of-concept flight demonstration of a novel variable pitch quadrotor biplane Unmanned Aerial Vehicle concept for payload delivery. The proposed design combines vertical takeoff and landing…

系统与控制 · 计算机科学 2018-01-10 Vishnu S. Chipade , Abhishek , Mangal Kothari , Rushikesh R. Chaudhari

This paper is focused on the dynamics and control of arbitrary number of quadrotor UAVs transporting a rigid body payload. The rigid body payload is connected to quadrotors via flexible cables where each flexible cable is modeled as a…

最优化与控制 · 数学 2015-01-21 Farhad A. Goodarzi , Taeyoung Lee

Payload grasping and transportation with quadcopters is an active research area that has rapidly developed over the last decade. To grasp a payload without human interaction, most state-of-the-art approaches apply robotic arms that are…

机器人学 · 计算机科学 2024-03-27 Péter Antal , Tamás Péni , Roland Tóth

Due to dynamic variations such as changing payload, aerodynamic disturbances, and varying platforms, a robust solution for quadrotor trajectory tracking remains challenging. To address these challenges, we present a deep reinforcement…

系统与控制 · 电气工程与系统科学 2026-01-06 Varad Vaidya , Jishnu Keshavan

Quadrotors are widely used for surveillance, mapping, and deliveries. In several scenarios the quadrotor operates in pure inertial navigation mode resulting in a navigation solution drift. To handle such situations and bind the navigation…

机器人学 · 计算机科学 2023-12-27 Dror Hurwitz , Itzik Klein

Rigid grippers used in existing aerial manipulators require precise positioning to achieve successful grasps and transmit large contact forces that may destabilize the drone. This limits the speed during grasping and prevents "dynamic…

机器人学 · 计算机科学 2021-10-04 Joshua Fishman , Samuel Ubellacker , Nathan Hughes , Luca Carlone

This paper presents a real-time trajectory planning scheme for a heterogeneous multi-robot system (consisting of a quadrotor and a ground mobile robot) for a cooperative landing task, where the landing position, landing time, and…

机器人学 · 计算机科学 2025-12-10 Jingshan Chen , Lihan Xu , Henrik Ebel , Peter Eberhard

Cargo drones are designed to carry payloads with predefined shape, size, and/or mass. This lack of flexibility requires a fleet of diverse drones tailored to specific cargo dimensions. Here we propose a new reconfigurable drone based on a…

机器人学 · 计算机科学 2022-11-17 Fabrizio Schiano , Przemyslaw Mariusz Kornatowski , Leonardo Cencetti , Dario Floreano

Morphing aerial robots have the potential to transform autonomous flight, enabling navigation through cluttered environments, perching, and seamless transitions between aerial and terrestrial locomotion. Yet mid-flight reconfiguration…

机器人学 · 计算机科学 2025-12-08 Ioannis Mandralis , Severin Schumacher , Morteza Gharib

Remote monitoring of drones has become a global objective due to emerging applications in national security and managing aerial delivery traffic. Despite their relatively small size, drones can carry significant payloads, which require…

We propose a combined method for the collaborative transportation of a suspended payload by a team of rotorcraft. A recent distance-based formation-motion control algorithm based on assigning distance disagreements among robots generates…

机器人学 · 计算机科学 2019-02-04 Hector Garcia de Marina , Ewoud Smeur

Traditional aerial vehicles are constrained to perform specific tasks due to their adhoc designs. Based on modularity, we propose a versatile robot, H-ModQuad, that can adapt to different tasks by increasing its load capacity and actuated…

机器人学 · 计算机科学 2025-08-05 Jiawei Xu , Diego S. D'Antonio , David Saldaña