Learning to generate diverse dance motions with transformer
With the ongoing pandemic, virtual concerts and live events using digitized performances of
musicians are getting traction on massive multiplayer online worlds. However, well …
musicians are getting traction on massive multiplayer online worlds. However, well …
Towards machine learning as an enabler of computational creativity
Computational creativity composes a collection of activities that are capable of achieving or
simulating behaviors, which can be deemed creative. A frequently articulated criticism for …
simulating behaviors, which can be deemed creative. A frequently articulated criticism for …
Embodiment and computational creativity
C Guckelsberger, A Kantosalo… - arXiv preprint arXiv …, 2021 - arxiv.org
We conjecture that creativity and the perception of creativity are, at least to some extent,
shaped by embodiment. This makes embodiment highly relevant for Computational …
shaped by embodiment. This makes embodiment highly relevant for Computational …
Roboception and adaptation in a cognitive robot
In robotics, perception is usually oriented at understanding what is happening in the external
world, while few works pay attention to what is occurring in the robot's body. In this work, we …
world, while few works pay attention to what is occurring in the robot's body. In this work, we …
Spontaneous talking gestures using generative adversarial networks
I Rodriguez, JM Martínez-Otzeta, I Irigoien… - Robotics and …, 2019 - Elsevier
This paper presents a talking gesture generation system based on Generative Adversarial
Networks, along with an evaluation of its adequateness. The talking gesture generation …
Networks, along with an evaluation of its adequateness. The talking gesture generation …
Feel the music: Automatically generating a dance for an input song
We present a general computational approach that enables a machine to generate a dance
for any input music. We encode intuitive, flexible heuristics for what a'good'dance is: the …
for any input music. We encode intuitive, flexible heuristics for what a'good'dance is: the …
[图书][B] Humanoid service robots: Customer expectations and customer responses
M Merkle - 2021 - books.google.com
Based on four empirical studies, Moritz Merkle examines the introduction of humanoid
robots to the frontline service encounter in a customer-centric approach focusing on …
robots to the frontline service encounter in a customer-centric approach focusing on …
Learning to gesticulate by observation using a deep generative approach
The goal of the system presented in this paper is to develop a natural talking gesture
generation behavior for a humanoid robot, by feeding a Generative Adversarial Network …
generation behavior for a humanoid robot, by feeding a Generative Adversarial Network …
May the Dance be with You: Dance Generation Framework for Non-Humanoids
H Ahn - arXiv preprint arXiv:2405.19743, 2024 - arxiv.org
We hypothesize dance as a motion that forms a visual rhythm from music, where the visual
rhythm can be perceived from an optical flow. If an agent can recognize the relationship …
rhythm can be perceived from an optical flow. If an agent can recognize the relationship …
Learning as performance: autoencoding and generating dance movements in real time
A Berman, V James - … Conference on Computational Intelligence in Music …, 2018 - Springer
This paper describes the technology behind a performance where human dancers interact
with an “artificial” performer projected on a screen. The system learns movement patterns …
with an “artificial” performer projected on a screen. The system learns movement patterns …