103 citations · 104 across the 5 of their papers we have counts for
5 papers
CODA: Depth-Aligned Scene Completion and Object Decomposition from a Single RGB-D Image
Dongwon Son, Junhyek Han, Yoontae Cho +5
Robots operating safely in cluttered everyday environments often need to infer scene geometry from partial observations. Methods that detect objects in 2D and reconstruct them inde…
Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments
Yoonyoung Cho, Junhyek Han, Jisu Han +1
For robots to operate in general environments like households, they must be able to perform non-prehensile manipulation actions such as toppling and rolling to manipulate ungraspab…
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
Yoonyoung Cho, Junhyek Han, Yoontae Cho +1
Nonprehensile manipulation is essential for manipulating objects that are too thin, large, or otherwise ungraspable in the wild. To sidestep the difficulty of contact modeling in c…
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291
Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…
Pre- and post-contact policy decomposition for non-prehensile manipulation with zero-shot sim-to-real transfer
Minchan Kim, Junhyek Han, Jaehyung Kim +1
We present a system for non-prehensile manipulation that require a significant number of contact mode transitions and the use of environmental contacts to successfully manipulate a…