Humanoid Generalization Lab
HuGe Lab
Our mission is to create general purpose humanoids that efficiently perform manipulation tasks in diverse and unstructured environments. We are inspired by the enormous difficulties that arise in dealing with large numbers of potentially unknown objects and robot's limited knowledge and sensing capabilities. To realize this mission, we conduct interdisciplinary research at the intersection of task and motion planning, computer vision, and machine learning.

Recent publications


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]

Recent talks

MIT Embodied Intelligence Seminar: Making Robots See and Manipulate

Learning to reason for robot task and motion planning problems