[HTML][HTML] A survey on the design and evolution of social robots—Past, present and future

H Mahdi, SA Akgun, S Saleh, K Dautenhahn - Robotics and Autonomous …, 2022‏ - Elsevier
Despite the relatively young age of Human–Robot Interaction (HRI) as a field, there is a
large volume of research on advances in robot hardware, software and behavior. The goal …

Social eye gaze in human-robot interaction: a review

H Admoni, B Scassellati - Journal of Human-Robot Interaction, 2017‏ - dl.acm.org
This article reviews the state of the art in social eye gaze for human-robot interaction (HRI). It
establishes three categories of gaze research in HRI, defined by differences in goals and …

Taming diffusion models for audio-driven co-speech gesture generation

L Zhu, X Liu, X Liu, R Qian, Z Liu… - Proceedings of the IEEE …, 2023‏ - openaccess.thecvf.com
Animating virtual avatars to make co-speech gestures facilitates various applications in
human-machine interaction. The existing methods mainly rely on generative adversarial …

Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings

T Ao, Q Gao, Y Lou, B Chen, L Liu - ACM Transactions on Graphics …, 2022‏ - dl.acm.org
Automatic synthesis of realistic co-speech gestures is an increasingly important yet
challenging task in artificial embodied agent creation. Previous systems mainly focus on …

Learning hierarchical cross-modal association for co-speech gesture generation

X Liu, Q Wu, H Zhou, Y Xu, R Qian… - Proceedings of the …, 2022‏ - openaccess.thecvf.com
Generating speech-consistent body and gesture movements is a long-standing problem in
virtual avatar creation. Previous studies often synthesize pose movement in a holistic …

Generative expressive robot behaviors using large language models

K Mahadevan, J Chien, N Brown, Z Xu… - Proceedings of the …, 2024‏ - dl.acm.org
People employ expressive behaviors to effectively communicate and coordinate their
actions with others, such as nodding to acknowledge a person glancing at them or saying" …

UX design innovation: Challenges for working with machine learning as a design material

G Dove, K Halskov, J Forlizzi… - Proceedings of the 2017 …, 2017‏ - dl.acm.org
Machine learning (ML) is now a fairly established technology, and user experience (UX)
designers appear regularly to integrate ML services in new apps, devices, and systems …

Diffsheg: A diffusion-based approach for real-time speech-driven holistic 3d expression and gesture generation

J Chen, Y Liu, J Wang, A Zeng, Y Li… - Proceedings of the …, 2024‏ - openaccess.thecvf.com
Abstract We propose DiffSHEG a Diffusion-based approach for Speech-driven Holistic 3D
Expression and Gesture generation. While previous works focused on co-speech gesture or …

Embodiment in socially interactive robots

E Deng, B Mutlu, MJ Mataric - Foundations and Trends® in …, 2019‏ - nowpublishers.com
Physical embodiment is a required component for robots that are structurally coupled with
their real-world environments. However, most socially interactive robots do not need to …

Learning in audio-visual context: A review, analysis, and new perspective

Y Wei, D Hu, Y Tian, X Li - arxiv preprint arxiv:2208.09579, 2022‏ - arxiv.org
Sight and hearing are two senses that play a vital role in human communication and scene
understanding. To mimic human perception ability, audio-visual learning, aimed at …