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Kevin Yuanbo Wu

2 accepted papers

2026

Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models

RSS 2026poster

The prevalent paradigm in robot learning attempts to generalize across environments, embodiments, and tasks with language prompts at runtime. A fundamental tension limits this approach: language is often too abstract to guide the concrete physical understanding required for robust manipulation. In t…

Cited by 0SourceScholar
2025

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement

ICCV 2025poster

We present PROGRESSOR, a novel framework that learns a task-agnostic reward function from videos, enabling policy training through goal-conditioned reinforcement learning (RL) without manual supervision. Underlying this reward is an estimate of the distribution over task progress as a function of th…

Cited by 0SourcePDFScholar