Reward for Exploration Based on View Synthesis

Research on embodied-AI has flourished in recent years to make AI accessible to real-world information. Visual exploration is a very fundamental task in embodied-AI applications such as object-goal navigation, embodied questioning and answering (EQA), and rearrangement. However, it is still a challe...

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Bibliographic Details
Main Authors: Shun Taguchi, Satoshi Koide, Kazuki Shibata, Hideki Deguchi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10292637/