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Yingting Zhou

2 accepted papers

2026

DiffuDepGrasp: Diffusion-Based Depth Noise Modeling Empowers Sim-To-Real Robotic Grasping

ICRA 2026poster

Accurate spatial-geometric perception remains fundamental to robotic grasping, yet physical artifacts in real depth maps like voids and noise establish a significant sim-to-real gap that critically impedes policy transfer. Training-time strategies like procedural noise injection or learned mappings …

Cited by 0Scholar
2025

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy

RSS 2025poster

Vision-Language-Action (VLA) models have shown substantial potential in real-world robotic manipulation. However, fine-tuning these models through supervised learning struggles to achieve robust performance due to limited, inconsistent demonstrations, especially in contact-rich environments. In this…

Cited by 6PDFcodeScholar