4 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
Hierarchical Skill Retrieval for Data-Efficient Adaptation of Vision-Language-Action Models
Haoran Hao, Shahram Najam Syed, Jeff Schneider +1
While Vision-Language-Action (VLA) models pretrained on large-scale robot datasets provide a strong foundation for robot manipulation, their performance can degrade when adapted to…
FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement
Haoran Hao, Shahram Najam Syed, Jeffrey Ichnowski +1
Robot policies inevitably encounter failures when deployed in real environments. Naive retries often repeat the same mistakes, while many existing recovery methods rely on human in…
Reason Twice: Segmentation via Candidate Discovery and Comparative Reasoning
Xinyan Gao, Haoran Hao, Xiangyu Yue
The rapid development of pretrained foundation models has enabled more general image segmentation. Multimodal large language models (MLLMs) have been widely explored for image segm…
Intercepting the Future: Latent-Space Predictive World Model for Dynamic VLA Manipulation
Shahram Najam Syed, Arthur Jakobsson, Haoran Hao +1
Vision-Language-Action (VLA) models generalize across static manipulation but fail when objects move during task execution. They map the current observation to an action and assume…