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This paper presents an aerial platform capable of performing physically interactive tasks in unstructured environments with human-like dexterity under human supervision. This aerial platform consists of a humanoid torso attached to a…

机器人学 · 计算机科学 2024-04-09 Fanyi Kong , Grazia Zambella , Simone Monteleone , Giorgio Grioli , Manuel G. Catalano , Antonio Bicchi

With the growing demand for efficient logistics and warehouse management, unmanned aerial vehicles (UAVs) are emerging as a valuable complement to automated guided vehicles (AGVs). UAVs enhance efficiency by navigating dense environments…

While the animals' Fin-to-Limb evolution has been well-researched in biology, such morphological transformation remains under-adopted in the modern design of advanced robotic limbs. This paper investigates a novel class of overconstrained…

This paper presents a novel trajectory planning method for aerial perching. Compared with the existing work, the terminal states and the trajectory durations can be adjusted adaptively, instead of being determined in advance. Furthermore,…

机器人学 · 计算机科学 2022-07-20 Jialin Ji , Tiankai Yang , Chao Xu , Fei Gao

Inspired by the behavior of birds, we present AirCrab, a hybrid aerial ground manipulator (HAGM) with a single active wheel and a 3-degree of freedom (3-DoF) manipulator. AirCrab leverages a single point of contact with the ground to reduce…

机器人学 · 计算机科学 2024-03-26 Muqing Cao , Jiayan Zhao , Xinhang Xu , Lihua Xie

Artificial intelligence-powered pocket-sized air robots have the potential to revolutionize the Internet-of-Things ecosystem, acting as autonomous, unobtrusive, and ubiquitous smart sensors. With a few cm$^{2}$ form-factor, nano-sized…

Unmanned aerial vehicles (UAVs) are finding their way into offshore applications. In this work, we postulate an original system that entails a marine locomotive quadrotor UAV that manipulates the velocity of a floating buoy by means of a…

系统与控制 · 电气工程与系统科学 2021-07-23 Ahmad Kourani , Naseem Daher

There have been several successful implementations of bio-inspired legged robots that can trot, walk, and hop robustly even in the presence of significant unplanned disturbances. Despite all of these accomplishments, practical control and…

机器人学 · 计算机科学 2022-05-16 Eric Sihite , Benjamin Mottis , Paul Ghanem , Alireza Ramezani , Morteza Gharib

Avian-informed drones feature morphing wing and tail surfaces, enhancing agility and adaptability in flight. Despite their large potential, realising their full capabilities remains challenging due to the lack of generalized control…

机器人学 · 计算机科学 2025-05-07 Simon L. Jeger , Valentin Wüest , Charbel Toumieh , Dario Floreano

Groups of unmanned aerial vehicles (UAVs) are increasingly utilized in transportation task as the combined strength allows to increase the maximum payload. However, the resulting mechanical coupling of the UAVs impose new challenges in…

最优化与控制 · 数学 2021-11-02 Jacob R. Goodman , Juan S. Cely , Thomas Beckers , Leonardo J. Colombo

Grasping using an aerial robot can have many applications ranging from infrastructure inspection and maintenance to precise agriculture. However, aerial grasping is a challenging problem since the robot has to maintain an accurate position…

机器人学 · 计算机科学 2023-11-03 Rishabh Dev Yadav , Brycen Jones , Saksham Gupta , Amitabh Sharma , Jiefeng Sun , Jianguo Zhao , Spandan Roy

Nowadays, there are few unmanned aerial vehicles (UAVs) capable of flying, walking and grasping. A drone with all these functionalities can significantly improve its performance in complex tasks such as monitoring and exploring different…

Drones, like most airborne aerial vehicles, face inherent disadvantages in achieving agile flight due to their limited thrust capabilities. These physical constraints cannot be fully addressed through advancements in control algorithms…

机器人学 · 计算机科学 2025-05-09 Dohyeon Lee , Jun-Gill Kang , Soohee Han

Bipedal animals have diverse morphologies and advanced locomotion abilities. Terrestrial birds, in particular, display agile, efficient, and robust running motion, in which they exploit the interplay between the body segment masses and…

机器人学 · 计算机科学 2020-02-14 Özge Drama , Alexander Badri-Spröwitz

As aerial robots gain traction in industrial applications, there is growing interest in enhancing their physical interaction capabilities. Pushing tasks performed by aerial manipulators have been successfully demonstrated in contact-based…

机器人学 · 计算机科学 2025-04-14 Tong Hui , Matteo Fumagalli

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…

机器人学 · 计算机科学 2026-03-05 Yuanzhu Zhan , Yufei Jiang , Muqing Cao , Junyi Geng

Single locomotion robots often struggle to adapt in highly variable or uncertain environments, especially in emergencies. In this paper, a multi-modal deformable robot is introduced that can both fly and drive. Compatibility issues with…

机器人学 · 计算机科学 2023-02-14 Xinyu Zhang , Yuanhao Huang , Kangyao Huang , Xiaoyu Wang , Dafeng Jin , Huaping Liu , Jun Li

A hover-capable insect-inspired flying robot that can remain long in the air has shown its potential use for both confined indoor and outdoor applications to complete assigned tasks. In this letter, we report improvements in the flight…

机器人学 · 计算机科学 2020-07-02 Hoang Vu Phan , Steven Aurecianus , Thi Kim Loan Au , Taesam Kang , Hoon Cheol Park

Inverted landing is a challenging feat to perform in aerial robots, especially without external positioning. However, it is routinely performed by biological fliers such as bees, flies, and bats. Our previous observations of landing…

机器人学 · 计算机科学 2022-03-04 Bryan Habas , Bader AlAttar , Brian Davis , Jack W. Langelaan , Bo Cheng

In comparison with existing approaches, which struggle with scalability, communication dependency, and robustness against dynamic failures, cooperative aerial transportation via robot swarms holds transformative potential for logistics and…

机器人学 · 计算机科学 2025-09-05 Quan Quan , Jiwen Xu , Runxiao Liu , Yi Ding , Jiaxing Che , Kai-Yuan Cai