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相关论文: Hands-On Robotics: Enabling Communication Through …

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The study of Human-Robot Interaction (HRI) aims to create close and friendly communication between humans and robots. In the human-center HRI, an essential aspect of implementing a successful and effective HRI is building a natural and…

人机交互 · 计算机科学 2022-09-20 Xihao Wang , Hao Shen , Hui Yu , Jielong Guo , Xian Wei

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

In recent years robots have become an important part of our day-to-day lives with various applications. Human-robot interaction creates a positive impact in the field of robotics to interact and communicate with the robots. Gesture…

机器人学 · 计算机科学 2024-09-11 Sajjad Hussain , Khizer Saeed , Almas Baimagambetov , Shanay Rab , Md Saad

Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI, the validity of currently available human-machine…

This paper presents a novel human-robot interaction (HRI) framework that enables intuitive gesture-driven control through a capacitance-based woven tactile skin. Unlike conventional interfaces that rely on panels or handheld devices, the…

Physical human-robot interactions (pHRI) are less efficient and communicative than human-human interactions, and a key reason is a lack of informative sense of touch in robotic systems. Interpreting human touch gestures is a nuanced,…

机器人学 · 计算机科学 2024-12-24 Bibit Bianchini , Prateek Verma , Kenneth Salisbury

Communication between people is characterized by a broad range of nonverbal cues. Transferring these cues into the design of robots and other artificial agents that interact with people may foster more natural, inviting, and accessible…

机器人学 · 计算机科学 2023-04-25 Jacqueline Urakami , Katie Seaborn

The use of social, anthropomorphic robots to support humans in various industries has been on the rise. During Human-Robot Interaction (HRI), physically interactive non-verbal behaviour is key for more natural interactions. Handshaking is…

机器人学 · 计算机科学 2020-11-20 Vignesh Prasad , Ruth Stock-Homburg , Jan Peters

How can multiple humans interact with multiple robots? The goal of our research is to create an effective interface that allows multiple operators to collaboratively control teams of robots in complex tasks. In this paper, we focus on a key…

机器人学 · 计算机科学 2021-02-02 Jayam Patel , Tyagaraja Ramaswamy , Zhi Li , Carlo Pinciroli

For some years now, the use of social, anthropomorphic robots in various situations has been on the rise. These are robots developed to interact with humans and are equipped with corresponding extremities. They already support human users…

机器人学 · 计算机科学 2021-03-23 Vignesh Prasad , Ruth Stock-Homburg , Jan Peters

Gestures are a natural form of communication between humans and can also be leveraged for human-robot interaction. This work presents a gesture-based user interface for object selection using pointing and click gestures. An experiment with…

机器人学 · 计算机科学 2026-04-08 Bijan Kavousian , Oliver Petrovic , Werner Herfs

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

Effective physical human-robot interaction requires systems that are not only adaptable to user preferences but also transparent about their actions. This paper introduces BRIDGE, a system for bidirectional human-robot communication in…

机器人学 · 计算机科学 2026-01-19 Junxiang Wang , Cindy Wang , Rana Soltani Zarrin , Zackory Erickson

During human-robot interaction (HRI), we want the robot to understand us, and we want to intuitively understand the robot. In order to communicate with and understand the robot, we can leverage interactions, where the human and robot…

机器人学 · 计算机科学 2019-02-05 Dylan P. Losey , Marcia K. O'Malley

Implicit communication plays such a crucial role during social exchanges that it must be considered for a good experience in human-robot interaction. This work addresses implicit communication associated with the detection of physical…

Physical Human-Human Interaction (pHHI) involves the use of multiple sensory modalities. Studies of communication through spoken utterances and gestures are well established, but communication through force signals is not well understood.…

Robot-to-human object handover is an important step in many human robot collaboration tasks. A successful handover requires the robot to maintain a stable grasp on the object while making sure the human receives the object in a natural and…

机器人学 · 计算机科学 2024-10-01 Zixi Wang , Zeyi Liu , Nicolas Ouporov , Shuran Song

Human-Robot collaboration in home and industrial workspaces is on the rise. However, the communication between robots and humans is a bottleneck. Although people use a combination of different types of gestures to complement speech, only a…

机器人学 · 计算机科学 2024-01-04 Petr Vanc , Jan Kristof Behrens , Karla Stepanova , Vaclav Hlavac

With the advancements in human-robot interaction (HRI), robots are now capable of operating in close proximity and engaging in physical interactions with humans (pHRI). Likewise, contact-based pHRI is becoming increasingly common as robots…

机器人学 · 计算机科学 2024-07-31 Mohammad Farajtabar , Marie Charbonneau

Successful adoption of industrial robots will strongly depend on their ability to safely and efficiently operate in human environments, engage in natural communication, understand their users, and express intentions intuitively while…

机器人学 · 计算机科学 2025-02-26 Tim Schreiter , Andrey Rudenko , Jens V. Rüppel , Martin Magnusson , Achim J. Lilienthal
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