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Robots are becoming more capable and can autonomously perform tasks such as navigating between locations. However, human oversight remains crucial. This study compared two touchless methods for directing mobile robots: voice control and…

In their everyday life, the speech recognition performance of human listeners is influenced by diverse factors, such as the acoustic environment, the talker and listener positions, possibly impaired hearing, and optional hearing devices.…

音频与语音处理 · 电气工程与系统科学 2021-04-02 Marc René Schädler

Human-guided robotic exploration is a useful approach to gathering information at remote locations, especially those that might be too risky, inhospitable, or inaccessible for humans. Maintaining common ground between the remotely-located…

Telepresence robots are used in various forms in various use-cases that helps to avoid physical human presence at the scene of action. In this work, we focus on a telepresence robot that can be used to attend a meeting remotely with a group…

机器人学 · 计算机科学 2020-06-30 Hrishav Bakul Barua , Chayan Sarkar , Achanna Anil Kumar , Arpan Pal , Balamuralidhar P

We discuss the process of building semantic maps, how to interactively label entities in them, and how to use them to enable context-aware navigation behaviors in human environments. We utilize planar surfaces, such as walls and tables, and…

机器人学 · 计算机科学 2018-08-15 Akansel Cosgun , Henrik Christensen

This article presents a novel telepresence system for advancing aerial manipulation in dynamic and unstructured environments. The proposed system not only features a haptic device, but also a virtual reality (VR) interface that provides…

Contemporary approaches to perception, planning, estimation, and control have allowed robots to operate robustly as our remote surrogates in uncertain, unstructured environments. This progress now creates an opportunity for robots to…

Spatial correspondence can be represented by pairs of segmented regions, such that the image registration networks aim to segment corresponding regions rather than predicting displacement fields or transformation parameters. In this work,…

计算机视觉与模式识别 · 计算机科学 2025-02-06 Wen Yan , Qianye Yang , Shiqi Huang , Yipei Wang , Shonit Punwani , Mark Emberton , Vasilis Stavrinides , Yipeng Hu , Dean Barratt

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

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

Ambiguities are inevitable in human-robot interaction, especially when a robot follows user instructions in a large, shared space. For example, if a user asks the robot to find an object in a home environment with underspecified…

机器人学 · 计算机科学 2025-04-03 Fethiye Irmak Dogan , Maithili Patel , Weiyu Liu , Iolanda Leite , Sonia Chernova

Robots must move legibly around people for safety reasons, especially for tasks where physical contact is possible. One such task is handovers, which requires implicit communication on where and when physical contact (object transfer)…

In collaborative tasks, people rely both on verbal and non-verbal cues simultaneously to communicate with each other. For human-robot interaction to run smoothly and naturally, a robot should be equipped with the ability to robustly…

人机交互 · 计算机科学 2019-02-05 Elena Sibirtseva , Ali Ghadirzadeh , Iolanda Leite , Mårten Björkman , Danica Kragic

Humans engaged in collaborative activities are naturally able to convey their intentions to teammates through multi-modal communication, which is made up of explicit and implicit cues. Similarly, a more natural form of human-robot…

机器人学 · 计算机科学 2022-07-01 Simone Macciò , Alessandro Carfì , Fulvio Mastrogiovanni

As robots begin to cohabit with humans in semi-structured environments, the need arises to understand instructions involving rich variability---for instance, learning to ground symbols in the physical world. Realistically, this task must…

人工智能 · 计算机科学 2017-06-02 Yordan Hristov , Svetlin Penkov , Alex Lascarides , Subramanian Ramamoorthy

As embodied agents become central to VR, telepresence, and digital human applications, their motion must go beyond speech-aligned gestures: agents should turn toward users, respond to their movement, and maintain natural gaze. Current…

计算机视觉与模式识别 · 计算机科学 2026-02-23 Evonne Ng , Siwei Zhang , Zhang Chen , Michael Zollhoefer , Alexander Richard

Robot teleoperation via augmented reality (AR) offers a promising path toward more intuitive human-robot interaction (HRI). We present a head-mounted AR 'puppeteer' system in which users control a physical robot by interacting with its…

人机交互 · 计算机科学 2026-05-19 Yuchong Zhang , Bastian Orthmann , Shichen Ji , Michael Welle , Jonne Van Haastregt , Danica Kragic

[...] With the TelePhysicalOperation interface, the user can teleoperate the different capabilities of a robot (e.g., single/double arm manipulation, wheel/leg locomotion) by applying virtual forces on selected robot body parts. This…

机器人学 · 计算机科学 2025-05-13 Davide Torielli

We propose a set of communicative gestures and develop a gesture recognition system with the aim of facilitating more intuitive Human-Robot Interaction (HRI) through gestures. First, we propose a set of commands commonly used for…

机器人学 · 计算机科学 2021-09-22 Jia Chuan A. Tan , Wesley P. Chan , Nicole L. Robinson , Elizabeth A. Croft , Dana Kulic

Text-writing robots have been used in assistive writing and drawing applications. However, robots do not convey emotional tones in the writing process due to the lack of behaviors humans typically adopt. To examine how people interpret…

人机交互 · 计算机科学 2023-02-14 Yanheng Li , Lin Luoying , Xinyan Li , Yaxuan Mao , Ray Lc