no code implementations • 19 Oct 2023 • Junwoo Chang, Hyunwoo Ryu, Jiwoo Kim, Soochul Yoo, Jongeun Choi, Joohwan Seo, Nikhil Prakash, Roberto Horowitz
Diffusion models have risen as a powerful tool in robotics due to their flexibility and multi-modality.
1 code implementation • 6 Sep 2023 • Hyunwoo Ryu, Jiwoo Kim, Hyunseok An, Junwoo Chang, Joohwan Seo, Taehan Kim, Yubin Kim, Chaewon Hwang, Jongeun Choi, Roberto Horowitz
Diffusion generative modeling has become a promising approach for learning robotic manipulation tasks from stochastic human demonstrations.
1 code implementation • 16 Jun 2022 • Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee, Jongeun Choi
The spatial roto-translation equivariance, or the SE(3)-equivariance can be exploited to improve the sample efficiency for learning robotic manipulation.