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Po-Chen Ko

2 accepted papers

2024

Context-Aware Replanning with Pre-Explored Semantic Map for Object Navigation

CoRL 2024poster

Pre-explored Semantic Map, constructed through prior exploration using visual language models (VLMs), has proven effective as a foundational element for training-free robotic applications. However, existing approaches assume the map's accuracy and do not provide effective mechanisms for revising dec…

Cited by 0Source ↗Scholar ↗
2024

Learning to Act from Actionless Videos through Dense Correspondences

ICLR 2024spotlight

In this work, we present an approach to construct a video-based robot policy capable of reliably executing diverse tasks across different robots and environments from few video demonstrations without using any action annotations. Our method leverages images as a task-agnostic representation, encodin…

Cited by 56Source ↗PDF ↗Scholar ↗