中文
相关论文

相关论文: Towards Intuitive Drone Operation Using a Handheld…

200 篇论文

This letter investigates the problem of controlling an aerial manipulator, composed of an omnidirectional tilting drone equipped with a five-degrees-of-freedom robotic arm. The robot has to interact with the environment to inspect…

Shared control in teleoperation for providing robot assistance to accomplish object manipulation, called telemanipulation, is a new promising yet challenging problem. This has unique challenges--on top of teleoperation challenges in…

机器人学 · 计算机科学 2025-04-02 Michael Bowman , Jiucai Zhang , Xiaoli Zhang

Supporting real-time interactions between human controllers and remote devices remains a challenging goal in the Metaverse due to the stringent requirements on computing workload, communication throughput, and round-trip latency. In this…

机器人学 · 计算机科学 2024-07-24 Kan Chen , Zhen Meng , Xiangmin Xu , Changyang She , Philip G. Zhao

Typical drones with multi rotors are generally less maneuverable due to unidirectional thrust, which may be unfavorable to agile flight in very narrow and confined spaces. This paper suggests a new bio-inspired drone that is empowered with…

机器人学 · 计算机科学 2025-04-15 Jun-Gill Kang , Dohyeon Lee , Soohee Han

Telerobotics enables humans to overcome spatial constraints and physically interact with the environment in remote locations. However, the sensory feedback provided by the system to the user is often purely visual, limiting the user's…

This paper introduces iRoCo (intuitive Robot Control) - a framework for ubiquitous human-robot collaboration using a single smartwatch and smartphone. By integrating probabilistic differentiable filters, iRoCo optimizes a combination of…

机器人学 · 计算机科学 2024-08-15 Fabian C Weigend , Xiao Liu , Shubham Sonawani , Neelesh Kumar , Venugopal Vasudevan , Heni Ben Amor

This paper describes a methodology for learning flight control systems from human demonstrations and interventions while considering the estimated uncertainty in the learned models. The proposed approach uses human demonstrations to train…

Robot-to-human handovers often rely on static, open-loop strategies (or, at best, approaches that adapt only the position), which generally do not consider how the object will be grasped by the human, thus requiring the user to adapt. This…

机器人学 · 计算机科学 2026-04-27 Federico Biagi , Dario Onfiani , Simone Silenzi , Cristina Iani , Luigi Biagiotti

Dexterous in-hand manipulation is a unique and valuable human skill requiring sophisticated sensorimotor interaction with the environment while respecting stability constraints. Satisfying these constraints with generated motions is…

Handover between a human and a dexterous robotic hand is a fundamental yet challenging task in human-robot collaboration. It requires handling dynamic environments and a wide variety of objects and demands robust and adaptive grasping…

机器人学 · 计算机科学 2025-07-03 Youzhuo Wang , Jiayi Ye , Chuyang Xiao , Yiming Zhong , Heng Tao , Hang Yu , Yumeng Liu , Jingyi Yu , Yuexin Ma

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…

Shared autonomy teleoperation can guarantee safety, but does so by reducing the human operator's control authority, which can lead to reduced levels of human-robot agreement and user satisfaction. This paper presents a novel haptic shared…

机器人学 · 计算机科学 2021-10-26 Dawei Zhang , Roberto Tron , Rebecca P. Khurshid

Human-robot object handover is a crucial element for assistive robots that aim to help people in their daily lives, including elderly care, hospitals, and factory floors. The existing approaches to solving these tasks rely on pre-selected…

机器人学 · 计算机科学 2025-08-06 Lucas Chen , Guna Avula , Hanwen Ren , Zixing Wang , Ahmed H. Qureshi

Tactile sensing is a essential for skilled manipulation and object perception, but existing devices are unable to capture mechanical signals in the full gamut of regimes that are important for human touch sensing, and are unable to emulate…

机器人学 · 计算机科学 2019-08-23 Yitian Shao , Hui Hu , Yon Visell

Contrary to the stunning feats observed in birds of prey, aerial manipulation and grasping with flying robots still lack versatility and agility. Conventional approaches using rigid manipulators require precise positioning and are subject…

机器人学 · 计算机科学 2023-08-15 Samuel Ubellacker , Aaron Ray , James Bern , Jared Strader , Luca Carlone

This paper presents a real-time programming and parameter reconfiguration method for autonomous underwater robots in human-robot collaborative tasks. Using a set of intuitive and meaningful hand gestures, we develop a syntactically simple…

机器人学 · 计算机科学 2018-02-22 Md Jahidul Islam , Marc Ho , Junaed Sattar

In this work, we propose a gesture based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a custom dataset of humans performing a set…

机器人学 · 计算机科学 2022-06-16 Javier Laplaza , Joan Jaume Oliver , Ramón Romero , Alberto Sanfeliu , Anaís Garrell

How are robots becoming smarter at interacting with their surroundings? Recent advances have reshaped how robots use tactile sensing to perceive and engage with the world. Tactile sensing is a game-changer, allowing robots to embed…

机器人学 · 计算机科学 2025-02-10 Enrico Donato , Matteo Lo Preti , Lucia Beccai , Egidio Falotico

As technological advancements continue to expand the capabilities of multi unmanned-aerial-vehicle systems (mUAV), human operators face challenges in scalability and efficiency due to the complex cognitive load and operations associated…

机器人学 · 计算机科学 2024-03-11 Mengsha Hu , Jinzhou Li , Runxiang Jin , Chao Shi , Lei Xu , Rui Liu

Tactile sensors have been introduced to a wide range of robotic tasks such as robot manipulation to mimic the sense of human touch. However, there has only been a few works that integrate tactile sensing into robot navigation. This paper…

机器人学 · 计算机科学 2022-11-24 Zhen Hao Gan , Yangwei You , Meng Yee , Chuah