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Brad Squicciarini

2 accepted papers

2026

From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning

ICLR 2026poster

Navigation foundation models trained on massive web-scale data enable agents to generalize across diverse environments and embodiments. However, these models, which are trained solely on offline data, often lack the capacity to reason about the consequences of their actions or adapt through counterf…

Cited by 0SourceScholar
2026

Learning Sidewalk Autopilot from Multi-Scale Imitation with Corrective Behavior Expansion

ICRA 2026poster

Sidewalk micromobility is a promising solution for last-mile transportation, but current learning-based control methods struggle in complex urban environments. Imitation learning (IL) learns policies from human demonstrations, yet its reliance on fixed offline data often leads to compounding errors,…