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相关论文: ARTHUR: Authoring Human-Robot Collaboration Proces…

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Human-robot collaboration frequently requires extensive communication, e.g., using natural language and gestures. Augmented reality (AR) has provided an alternative way of bridging the communication gap between robots and people. However,…

机器人学 · 计算机科学 2022-02-28 Kishan Chandan , Vidisha Kudalkar , Xiang Li , Shiqi Zhang

As the use of Augmented Reality (AR) to enhance interactions between human agents and robotic systems in a work environment continues to grow, robots must communicate their intents in informative yet straightforward ways. This improves the…

机器人学 · 计算机科学 2023-03-13 Chrisantus Eze , Christopher Crick

Multi-agent human-robot teaming allows for the potential to gather information about various environments more efficiently by exploiting and combining the strengths of humans and robots. In industries like defense, search and rescue,…

机器人学 · 计算机科学 2024-01-12 Frank Regal , Chris Suarez , Fabian Parra , Mitch Pryor

We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot Interaction (HRI), which establishes a bi-directional communication between human agents and robots. In a prototype system, the shared AR workspace enables…

机器人学 · 计算机科学 2020-12-10 Shuwen Qiu , Hangxin Liu , Zeyu Zhang , Yixin Zhu , Song-Chun Zhu

We provide an experimental evaluation of a wearable augmented reality (AR) system we have developed for human-robot teams working on tasks requiring collaboration in shared physical workspace. Recent advances in AR technology have…

This paper explores the challenges faced by assistive robots in effectively cooperating with humans, requiring them to anticipate human behavior, predict their actions' impact, and generate understandable robot actions. The study focuses on…

机器人学 · 计算机科学 2023-08-22 Chao Wang , Theodoros Stouraitis , Anna Belardinelli , Stephan Hasler , Michael Gienger

Augmented Reality (AR) solutions are providing tools that could improve applications in the medical and industrial fields. Augmentation can provide additional information in training, visualization, and work scenarios, to increase…

人机交互 · 计算机科学 2023-06-30 Akos Nagy , Thomas Lagkas , Panagiotis Sarigiannidis , Vasileios Argyriou

Robots are now increasingly integrated into various real world applications and domains. In these new domains, robots are mostly employed to improve, in some ways, the work done by humans. So, the need for effective Human-Robot Teaming…

机器人学 · 计算机科学 2024-08-26 Yousra Shleibik , Elijah Alabi , Christopher Reardon

The field of Augmented Reality (AR) based Human Robot Interaction (HRI) has progressed significantly since its inception more than two decades ago. With more advanced devices, particularly head-mounted displays (HMD), freely available…

机器人学 · 计算机科学 2019-10-11 David Puljiz , Björn Hein

Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents. However, one of the critical challenges in realizing an effective human-robot team is efficient information exchange -…

机器人学 · 计算机科学 2019-09-17 Jason M. Gregory , Christopher Reardon , Kevin Lee , Geoffrey White , Ki Ng , Caitlyn Sims

Human interaction is essential for issuing personalized instructions and assisting robots when failure is likely. However, robots remain largely black boxes, offering users little insight into their evolving capabilities and limitations. To…

人机交互 · 计算机科学 2026-01-22 Lauren W. Wang , Mohamed Kari , Parastoo Abtahi

A widespread adoption of Virtual, Augmented, and Mixed Reality (VR/AR/MR), collectively referred to as Extended Reality (XR), has become a tangible possibility to revolutionize educational and training scenarios by offering immersive,…

Human-machine interaction (HMI) and human-robot interaction (HRI) can assist structural monitoring and structural dynamics testing in the laboratory and field. In vibratory experimentation, one mode of generating vibration is to use…

机器人学 · 计算机科学 2023-03-24 Elijah Wyckoff , Ronan Reza , Fernando Moreu

Effective human-robot collaboration (HRC) requires extensive communication among the human and robot teammates, because their actions can potentially produce conflicts, synergies, or both. We develop a novel augmented reality (AR) interface…

机器人学 · 计算机科学 2020-03-16 Kishan Chandan , Vidisha Kudalkar , Xiang Li , Shiqi Zhang

In order to address the limitations of gestural capabilities in physical robots, researchers in Virtual, Augmented, Mixed Reality Human-Robot Interaction (VAM-HRI) have been using augmented-reality visualizations that increase robot…

机器人学 · 计算机科学 2022-05-16 Ipek Goktan , Karen Ly , Thomas R. Groechel , Maja J. Mataric

The current spread of social and assistive robotics applications is increasingly highlighting the need for robots that can be easily taught and interacted with, even by users with no technical background. Still, it is often difficult to…

The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to evolving market needs and meet the demand for…

Human-robot collaboration (HRC) has become increasingly relevant in industrial, household, and commercial settings. However, the effectiveness of such collaborations is highly dependent on the human and robots' situational awareness of the…

机器人学 · 计算机科学 2023-05-09 Chelsea Zou , Kishan Chandan , Yan Ding , Shiqi Zhang

There is invariably a trade-off between safety and efficiency for collaborative robots (cobots) in human-robot collaborations. Robots that interact minimally with humans can work with high speed and accuracy but cannot adapt to new tasks or…

机器人学 · 计算机科学 2022-10-13 Xiangjie Yan , Yongpeng Jiang , Chen Chen , Leiliang Gong , Ming Ge , Tao Zhang , Xiang Li

Authoring site-specific outdoor augmented reality (AR) experiences requires a nuanced understanding of real-world context to create immersive and relevant content. Existing ex-situ authoring tools typically rely on static 3D models to…

人机交互 · 计算机科学 2025-02-14 Nels Numan , Gabriel Brostow , Suhyun Park , Simon Julier , Anthony Steed , Jessica Van Brummelen
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