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cs.RO2026
Diversity You Can Actually Measure: A Fast, Model-Free Diversity Metric for Robotics Datasets
Sreevardhan Sirigiri, Nathan Samuel de Lara, Christopher Agia +2
Robotics datasets for imitation learning typically consist of long-horizon trajectories of different lengths over states, actions, and high-dimensional observations (e.g., RGB vide…
cs.RO2026
Deployment-Time Reliability of Learned Robot Policies
Christopher Agia
Recent advances in learning-based robot manipulation have produced policies with remarkable capabilities. Yet, reliability at deployment remains a fundamental barrier to real-world…