← Search

Yongjun Cho

3 accepted papers

2026

D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI

ICLR 2026poster

Large language models leverage internet-scale text data, yet embodied AI remains constrained by the prohibitive costs of physical trajectory collection. Desktop environments---particularly gaming---offer a compelling alternative: they provide rich sensorimotor interactions at scale while maintaining…

Cited by 0Source ↗code ↗Scholar ↗
2025

CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction

ICRA 2025

Real-life robot navigation involves more than just reaching a destination; it requires optimizing movements while addressing scenario-specific goals. An intuitive way for humans to express these goals is through abstract cues like verbal commands or rough sketches. Such human guidance may lack detai

Cited by 4Source ↗Scholar ↗
2022

Sim-to-Real Transfer of Image-Based Autonomous Guidewire Navigation Trained by Deep Deterministic Policy Gradient with Behavior Cloning for Fast Learning

IROS 2022poster

Percutaneous coronary intervention (PCI) is a frequently used surgical treatment for cardiovascular disease, one of the leading cause of death in the world. In traditional PCI, a doctor navigates a thin guidewire in a patient's vessel toward a target location by looking into live X-ray angiogram ima…

Cited by 7Source ↗Scholar ↗