3 papers
cs.RO2026
Implicit State Estimation via Video Replanning
Po-Chen Ko, Jiayuan Mao, Yu-Hsiang Fu +5
Video-based representations have gained prominence in planning and decision-making due to their ability to encode rich spatiotemporal dynamics and geometric relationships. These re…
cs.AI2025
Learning Skills from Action-Free Videos
Hung-Chieh Fang, Kuo-Han Hung, Chu-Rong Chen +7
Learning from videos offers a promising path toward generalist robots by providing rich visual and temporal priors beyond what real robot datasets contain. While existing video gen…
cs.RO2024
Context-Aware Replanning with Pre-explored Semantic Map for Object Navigation
Po-Chen Ko, Hung-Ting Su, Ching-Yuan Chen +3
Pre-explored Semantic Maps, constructed through prior exploration using visual language models (VLMs), have proven effective as foundational elements for training-free robotic appl…