Diffusion-edfs: Bi-equivariant denoising generative modeling on se (3) for visual robotic manipulation

H Ryu, J Kim, H An, J Chang, J Seo… - Proceedings of the …, 2024 - openaccess.thecvf.com
Diffusion generative modeling has become a promising approach for learning robotic
manipulation tasks from stochastic human demonstrations. In this paper we present …

Contact-rich se (3)-equivariant robot manipulation task learning via geometric impedance control

J Seo, NPS Prakash, X Zhang, C Wang… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
This letter presents a differential geometric control approach that leverages SE (3) group
invariance and equivariance to increase transferability in learning robot manipulation tasks …

Robot manipulation task learning by leveraging se (3) group invariance and equivariance

J Seo, NPS Prakash, X Zhang, C Wang, J Choi… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents a differential geometric control approach that leverages SE (3) group
invariance and equivariance to increase transferability in learning robot manipulation tasks …

Denoising heat-inspired diffusion with insulators for collision free motion planning

J Chang, H Ryu, J Kim, S Yoo, J Seo, N Prakash… - arXiv preprint arXiv …, 2023 - arxiv.org
Diffusion models have risen as a powerful tool in robotics due to their flexibility and multi-
modality. While some of these methods effectively address complex problems, they often …

Scale-Equivariant Object Perception for Autonomous Driving

T Cho, H Nam, J Choi - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
In autonomous driving, precise perception of surrounding objects is crucial for ensuring
safety. To this end, many advanced object detection models have been developed using …

Human Motion Prediction: Assessing Direct and Geometry-Aware Approaches in 3D Space

S Idrees, J Kim, J Choi, S Sohn - IEEE Access, 2024 - ieeexplore.ieee.org
Predicting 3D human motion is a complex task, owing to the unpredictable nature of human
movements. The influx of deep learning innovations and the availability of extensive …