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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 0SourcecodeScholar
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 4SourceScholar
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 7SourceScholar