ra-l topic

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'

ivalab

Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornel...

ivalab

The dataset of our RA-L work 'Learning Affordance Segmentation for Real-world Robotic Manipulation via Synthetic Images'

ivalab

[RA-L, 2024] The dataset for the paper: Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach

Ikhyeon-Cho