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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 0SourceScholar
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 56SourcePDFScholar