Novella Alvina

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference

Skill effect models for long-horizon manipulation tasks are prone to failures in conditions not covered by training data distributions. Therefore, enabling robots to reason about and learn from failures is necessary. We investigate the problem of efficiently generating a dataset targeted to observed…