Prime the Search: Using Large Language Models for Guiding Geometric Task and Motion Planning by Warm-starting Tree Search. Dongryung Lee*, Sejune Joo*, Kimin Lee, and Beomjoon Kim. [Paper] [video] [project]
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations. Dongwon Son, Sanghyeon Son, Jaehyung Kim, Beomjoon Kim. [Paper] [project]
ICLR 2024
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects. Yoonyoung Cho, Junhyek Han, Yoontae Cho, and Beomjoon Kim. [Paper] [video] [project]
ICLR 2024
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks. Dongwon Son, Jaehyung Kim, Sanghyeon Son, and Beomjoon Kim. [Paper] [video] [project]
ICRA 2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. Open X-Embodiment Collaboration (Beomjoon Kim, Yoonyoung Cho, Junhyek Han, Jaehyung Kim) [Paper] [dataset] [project]
RA-L 2023
Learning whole-body manipulation for quadrupedal robot. Seunghun Jeon, Moonkyu Jung, Suyoung Choi, Beomjoon Kim, Jemin Hwangbo. [Paper] [video]
CoRL 2023
Preference learning for guiding the tree search in continuous POMDPs. Jiyong Ahn, Sanghyeon Son, Dongryung Lee, Jisu Han, Dongwon Son, and Beomjoon Kim. [Paper] [video] [project]
IROS 2023
Pre- and post-contact policy decomposition for non-prehensile manipulation with zero-shot sim-to-real transfer. Minchan Kim, Junhyek Han, Jaehyung Kim, and Beomjoon Kim. [arXiv] [video] [project]
RSS 2023
Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators. Dongwon Son and Beomjoon Kim. [arXiv] [video] [project]
IROS 2022
Ohm^2: Optimal hierarchical planner for object search in large environments via mobile manipulation. Yoonyoung Cho*, Donghoon Shin*, and Beomjoon Kim. [pdf]
MIT Embodied Intelligence Seminar: Making Robots See and Manipulate
Learning to reason for robot task and motion planning problems