Yejin Kim김예진Roboticist, researcher and artist

Research

Scaling simulation, benchmarks and data, from manipulation to mobile manipulation and dexterity. Now extending to long-horizon tasks and hierarchical systems. I'm especially interested in how intent and goals are represented across levels to produce useful real-world motion.

Publications

MolmoSpaces: A large-scale open ecosystem for robot navigation and manipulation

Y. Kim*, W. Pumacay*, O. Rayyan*, M. Argus*, et al. RSS 2026.

230k+ indoor environments, 130k objects, 42M grasps; the benchmark tracks real-world results (R = 0.96).

2026

MolmoBot: Large-scale simulation enables zero-shot manipulation 🏆

A. Deshpande, …, Y. Kim, et al. CoRL 2026.

Oral presentation. Best Paper Award at three ICRA 2026 workshops: Synthetic Data for Robot Learning, VLA Pipeline and Beyond Teleoperation.

2026
2026

Harmonic mobile manipulation 🏆

R. Yang, Y. Kim, R. Hendrix, A. Kembhavi, X. Wang, K. Ehsani. IROS 2024.

Best Paper Award on Mobile Manipulation

2024

Open X-Embodiment: Robotic learning datasets and RT-X models 🏆

Open X-Embodiment Collaboration. ICRA 2024.

Best Paper Award

2024

All publications on Google Scholar

Workshops