Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs
T Ando, H Iino, H Mori, R Torishima… - Advanced …, 2023 - Taylor & Francis
We propose a new method for collision-free planning using Conditional Generative
Adversarial Networks (cGANs) to transform between the robot's joint space and a latent …
Adversarial Networks (cGANs) to transform between the robot's joint space and a latent …
Collision-free path planning in the latent space through cgans
T Ando, H Mori, R Torishima, K Takahashi… - arXiv preprint arXiv …, 2022 - arxiv.org
We show a new method for collision-free path planning by cGANs by mapping its latent
space to only the collision-free areas of the robot joint space. Our method simply provides …
space to only the collision-free areas of the robot joint space. Our method simply provides …
[PDF][PDF] Character Motion Synthesis Based on Deep Learning: A Survey
A Chen - Highlights in Science, Engineering and Technology, 2023 - scholar.archive.org
Character motion synthesis can be more cost-effective, flexible, and time-efficient compared
to motion capture or traditional animation. As character motion synthesis regards multiple …
to motion capture or traditional animation. As character motion synthesis regards multiple …