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相关论文: Teleoperated aerial manipulator and its avatar. Pa…

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Drone application for aerial manipulation is tested in such areas as industrial maintenance, supporting the rescuers in emergencies, and e-commerce. Most of such applications require teleoperation. The operator receives visual feedback from…

In this paper, we present the implementation details of a Virtual Reality (VR)-based teleoperation interface for moving a robotic manipulator. We propose an iterative human-in-the-loop design where the user sets the next task-space waypoint…

机器人学 · 计算机科学 2022-05-24 Shiyu Xu , Scott Moore , Akansel Cosgun

Robotic teleoperation is a key technology for a wide variety of applications. It allows sending robots instead of humans in remote, possibly dangerous locations while still using the human brain with its enormous knowledge and creativity,…

机器人学 · 计算机科学 2023-01-03 Christian Lenz , Sven Behnke

Teleoperated avatar robots allow people to transport their manipulation skills to environments that may be difficult or dangerous to work in. Current systems are able to give operators direct control of many components of the robot to…

机器人学 · 计算机科学 2024-07-12 Patrick Naughton , James Seungbum Nam , Andrew Stratton , Kris Hauser

Augmented Reality and Virtual Reality can provide to a Human Operator (HO) a real help to complete complex tasks, such as robot teleoperation and cooperative teleassistance. Using appropriate augmentations, the HO can interact faster, safer…

人机交互 · 计算机科学 2009-04-15 Christophe Domingues , Samir Otmane , Frédéric Davesne , Malik Mallem

Robotic teleoperation is a key technology for a wide variety of applications. It allows sending robots instead of humans in remote, possibly dangerous locations while still using the human brain with its enormous knowledge and creativity,…

机器人学 · 计算机科学 2021-09-29 Christian Lenz , Sven Behnke

Learning from human demonstration is an effective approach for learning complex manipulation skills. However, existing approaches heavily focus on learning from passive human demonstration data for its simplicity in data collection.…

机器人学 · 计算机科学 2025-03-12 Philipp Wu , Yide Shentu , Qiayuan Liao , Ding Jin , Menglong Guo , Koushil Sreenath , Xingyu Lin , Pieter Abbeel

Omnidirectional aerial robots offer full 6-DoF independent control over position and orientation, making them popular for aerial manipulation. Although advancements in robotic autonomy, human operation remains essential in complex aerial…

机器人学 · 计算机科学 2025-07-22 Jinjie Li , Jiaxuan Li , Kotaro Kaneko , Haokun Liu , Liming Shu , Moju Zhao

Virtual reality (VR) interfaces for robots provide a three-dimensional (3D) view of the robot in its environment, which allows people to better plan complex robot movements in tight or cluttered spaces. In our prior work, we created a VR…

机器人学 · 计算机科学 2021-04-27 Gregory LeMasurier , Jordan Allspaw , Holly A. Yanco

Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment can limit human awareness and, in turn, task performance.…

机器人学 · 计算机科学 2024-10-22 Julien Mellet , Mike Allenspach , Eugenio Cuniato , Claudio Pacchierotti , Roland Siegwart , Marco Tognon

This paper presents a novel telepresence system for enhancing aerial manipulation capabilities. It involves not only a haptic device, but also a virtual reality that provides a 3D visual feedback to a remotely-located teleoperator in…

Teleoperation of humanoid robots enables the integration of the cognitive skills and domain expertise of humans with the physical capabilities of humanoid robots. The operational versatility of humanoid robots makes them the ideal platform…

Unmanned Aerial Vehicles(UAVs) are attaining more and more maneuverability and sensory ability as a promising teleoperation platform for intelligent interaction with the environments. This work presents a novel 5-degree-of-freedom (DoF)…

机器人学 · 计算机科学 2022-10-28 Caiwu Ding , Hongwu Peng , Lu Lu , Caiwen Ding

Aerial manipulation has recently attracted increasing interest from both industry and academia. Previous approaches have demonstrated success in various specific tasks. However, their hardware design and control frameworks are often tightly…

Human-in-the-loop manipulation is useful in when autonomous grasping is not able to deal sufficiently well with corner cases or cannot operate fast enough. Using the teleoperator's hand as an input device can provide an intuitive control…

机器人学 · 计算机科学 2018-02-14 Cassie Meeker , Thomas Rasmussen , Matei Ciocarlie

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

Semi-autonomous telerobotic systems allow both humans and robots to exploit their strengths, while enabling personalized execution of a task. However, for new soft robots with degrees of freedom dissimilar to those of human operators, it is…

Our research explores the potential of a humanoid robot for work in unpredictable environments, but controlling a humanoid robot remains a very difficult problem. In our previous work, we designed a prototype virtual reality (VR) interface…

机器人学 · 计算机科学 2021-04-27 Jordan Allspaw , Gregory LeMasurier , Holly Yanco

Teleoperation of beyond-human-scale robotic manipulators (BHSRMs) presents unique challenges that differ fundamentally from conventional human-scale systems. As these platforms gain relevance in industrial domains such as construction,…

机器人学 · 计算机科学 2025-08-14 Mahdi Hejrati , Jouni Mattila

Teleoperation serves as a powerful method for collecting on-robot data essential for robot learning from demonstrations. The intuitiveness and ease of use of the teleoperation system are crucial for ensuring high-quality, diverse, and…

机器人学 · 计算机科学 2024-07-09 Xuxin Cheng , Jialong Li , Shiqi Yang , Ge Yang , Xiaolong Wang
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