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One of the first tasks we learn as children is to grasp objects based on our tactile perception. Incorporating such skill in robots will enable multiple applications, such as increasing flexibility in industrial processes or providing…

We present a real-time algorithm for emotion-aware navigation of a robot among pedestrians. Our approach estimates time-varying emotional behaviors of pedestrians from their faces and trajectories using a combination of Bayesian-inference,…

机器人学 · 计算机科学 2019-03-11 Aniket Bera , Tanmay Randhavane , Rohan Prinja , Kyra Kapsaskis , Austin Wang , Kurt Gray , Dinesh Manocha

Equipping social and service robots with the ability to perceive human emotional intensities during an interaction is in increasing demand. Most of existing work focuses on determining which emotion(s) participants are expressing from…

人机交互 · 计算机科学 2019-04-23 Mingfei Sun , Yiqing Mou , Hongwen Xie , Meng Xia , Michelle Wong , Xiaojuan Ma

This paper investigates the specific scenario of high-intensity confrontations between humans and robots, to understand how robots can defuse the conflict. It focuses on the effectiveness of using five different affective expression…

机器人学 · 计算机科学 2025-08-08 Morten Roed Frederiksen , Kasper Støy

Emotions are best way of communicating information; and sometimes it carry more information than words. Recently, there has been a huge interest in automatic recognition of human emotion because of its wide spread application in security,…

计算机视觉与模式识别 · 计算机科学 2013-12-05 Nikunj Bajaj , Aurobinda Routray , S L Happy

This paper presents an anthropomorphic robotic bear for the exploration of human-robot interaction including verbal and non-verbal communications. This robot is implemented with a hybrid face composed of a mechanical faceplate with 10 DOFs…

This article proposes an emotive lifelike robotic face, called ExpressionBot, that is designed to support verbal and non-verbal communication between the robot and humans, with the goal of closely modeling the dynamics of natural…

This work represents the experimental and development process of system facial expression recognition and facial stress analysis algorithms for an immersive digital learning platform. The system retrieves from users web camera and evaluates…

计算机视觉与模式识别 · 计算机科学 2022-10-31 Fabio Cacciatori , Sergei Nikolaev , Dmitrii Grigorev , Anastasiia Archangelskaya

Communication robots have the potential to contribute to effective human-XAI interaction as an interface that goes beyond textual or graphical explanations. One of their strengths is that they can use physical and vocal expressions to add…

人机交互 · 计算机科学 2024-03-22 Yosuke Fukuchi , Seiji Yamada

Human emotions are expressed through multiple modalities, including verbal and non-verbal information. Moreover, the affective states of human users can be the indicator for the level of engagement and successful interaction, suitable for…

机器人学 · 计算机科学 2021-10-12 Baijun Xie , Chung Hyuk Park

Robots and artificial agents that interact with humans should be able to do so without bias and inequity, but facial perception systems have notoriously been found to work more poorly for certain groups of people than others. In our work,…

计算机视觉与模式识别 · 计算机科学 2022-08-17 Saba Akhyani , Mehryar Abbasi Boroujeni , Mo Chen , Angelica Lim

Collaborative interactions require social robots to adapt to the dynamics of human affective behaviour. Yet, current approaches for affective behaviour generation in robots focus on instantaneous perception to generate a one-to-one mapping…

机器人学 · 计算机科学 2022-02-28 Nikhil Churamani , Pablo Barros , Hatice Gunes , Stefan Wermter

This paper presents our recent research on integrating artificial emotional intelligence in a social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ryan is a socially assistive robot designed to provide…

人机交互 · 计算机科学 2022-01-28 Hojjat Abdollahi , Mohammad H. Mahoor , Rohola Zandie , Jarid Siewierski , Sara H. Qualls

Emotions are reactions that can be expressed through a variety of social signals. For example, anger can be expressed through a scowl, narrowed eyes, a long stare, or many other expressions. This complexity is problematic when attempting to…

机器人学 · 计算机科学 2021-03-09 Ghazal Saheb Jam , Jimin Rhim , Angelica Lim

Emotion expressions serve as important communicative signals and are crucial cues in intuitive interactions between humans. Hence, it is essential to include these fundamentals in robotic behavior strategies when interacting with humans to…

机器人学 · 计算机科学 2023-11-08 Thorsten Hempel , Laslo Dinges , Ayoub Al-Hamadi

Recent development in developing humanoid robot poses new challenges to human-machine interaction communication. A major challenge is to develop robots that can behave like and interact with human in the most natural way possible. This…

机器人学 · 计算机科学 2014-12-03 Ong Sing Goh , Lance Fung

Detection of engagement during a conversation is an important function of human-robot interaction. The level of user engagement can influence the dialogue strategy of the robot. Our motivation in this work is to detect several behaviors…

人机交互 · 计算机科学 2017-10-02 Divesh Lala , Koji Inoue , Pierrick Milhorat , Tatsuya Kawahara

Emotional Artificial Intelligences are currently one of the most anticipated developments of AI. If successful, these AIs will be classified as one of the most complex, intelligent nonhuman entities as they will possess sentience, the…

机器学习 · 计算机科学 2023-10-17 Ashley Jisue Hong , David DiStefano , Sejal Dua

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

Expressive behaviors in robots are critical for effectively conveying their emotional states during interactions with humans. In this work, we present a framework that autonomously generates realistic and diverse robotic emotional…

机器人学 · 计算机科学 2026-01-21 Chao Wang , Michael Gienger , Fan Zhang