5 papers
What Can One Sentence Fix? A Failure Taxonomy and a Minimal Language Correction for Frozen VLA Policies
Owen Kwon, Pablo Ortega-Kral, Arthur Bucker +1
When a deployed vision-language-action (VLA) policy fails, fine-tuning it again for every new setting is costly, yet the person watching it can usually say what went wrong in one s…
ControlledShifts: Towards Standardizing Robustness Evaluation in Trajectory Prediction Under Distribution Shifts
Ingrid Navarro, Pablo Ortega-Kral, Yutong Duan +2
Trajectory prediction is central to safety in autonomous driving, yet learning-based predictors tend to degrade sharply when encountering scenarios poorly represented by their trai…
RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning
Pablo Ortega-Kral, Eliot Xing, Arthur Bucker +13
Despite recent efforts to collect multi-task, multi-embodiment datasets, to design recipes for training Vision-Language-Action models (VLAs), and to showcase these models on differ…
GRAPPA: Generalizing and Adapting Robot Policies via Online Agentic Guidance
Arthur Bucker, Pablo Ortega-Kral, Jonathan Francis +1
Robot learning approaches such as behavior cloning and reinforcement learning have shown great promise in synthesizing robot skills from human demonstrations in specific environmen…
Amelia: A Large Dataset and Benchmark for Airport Surface Movement Forecasting
Ingrid Navarro, Pablo Ortega-Kral, Jay Patrikar +6
Demand for air travel is rising, straining existing aviation infrastructure. In the US, more than 90% of airport control towers are understaffed, falling short of FAA and union sta…