Robot expressive motions: a survey of generation and evaluation methods

G Venture, D Kulić - ACM Transactions on Human-Robot Interaction …, 2019‏ - dl.acm.org
Robots that have different forms and capabilities are used in a wide variety of situations;
however, one common point to all robots interacting with humans is their ability to …

Robots and Dance: A Promising Young Alchemy

A LaViers - Annual Review of Control, Robotics, and …, 2024‏ - annualreviews.org
Research at the intersection of robots and dance promises to create vehicles for expression
that enable new creative pursuits and allow robots to function better, especially in human …

A conversational agent framework with multi-modal personality expression

S Sonlu, U Güdükbay, F Durupinar - ACM Transactions on Graphics …, 2021‏ - dl.acm.org
Consistently exhibited personalities are crucial elements of realistic, engaging, and behavior-
rich conversational virtual agents. Both nonverbal and verbal cues help convey these …

Beyond anthropomorphising robot motion and towards robot-specific motion: consideration of the potential of artist—dancers in research on robotic motion

N Abe - Artificial Life and Robotics, 2022‏ - Springer
The design of robot motion is one of the most important questions in social robotics as it
underpins successful human–robot interaction. Human-inspired motion design based on …

A generative model to embed human expressivity into robot motions

P Osorio, R Sagawa, N Abe, G Venture - Sensors, 2024‏ - mdpi.com
This paper presents a model for generating expressive robot motions based on human
expressive movements. The proposed data-driven approach combines variational …

Embodying an interactive AI for dance through movement ideation

B Wallace, C Hilton, K Nymoen, J Torresen… - Proceedings of the 15th …, 2023‏ - dl.acm.org
What expectations exist in the minds of dancers when interacting with a generative machine
learning model? During two workshop events, experienced dancers explore these …

Affective body expression recognition framework based on temporal and spatial fusion features

T Wang, S Liu, F He, M Du, W Dai, Y Ke… - Knowledge-Based Systems, 2025‏ - Elsevier
Affective body expression recognition technology enables machines to interpret non-verbal
emotional signals from human movements, which is crucial for facilitating natural and …

Learning embodied sound-motion map**s: Evaluating AI-generated dance improvisation

B Wallace, CP Martin, J Tørresen… - Proceedings of the 13th …, 2021‏ - dl.acm.org
Through dance, a wide range of emotions can be expressed. As virtual agents and robots
continue to become part of our daily lives, the need for them to efficiently convey emotion …

Humans and robotic arm: Laban movement theory to create emotional connection

C La Viola, L Fiorini, G Mancioppi… - 2022 31st IEEE …, 2022‏ - ieeexplore.ieee.org
Movement is one of the basic tools that humans use to convey emotional states. Body
language and movement are also relevant in the perception that we have of other people …

Face2Gesture: Translating facial expressions into robot movements through shared latent space neural networks

M Suguitan, N DePalma, G Hoffman… - ACM Transactions on …, 2024‏ - dl.acm.org
In this work, we present a method for personalizing human-robot interaction by using
emotive facial expressions to generate affective robot movements. Movement is an important …