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cs.RO2024★ 1 cited
Online Embedding Multi-Scale CLIP Features into 3D Maps
Shun Taguchi, Hideki Deguchi
This study introduces a novel approach to online embedding of multi-scale CLIP (Contrastive Language-Image Pre-Training) features into 3D maps. By harnessing CLIP, this methodology…
cs.RO2024
Language to Map: Topological map generation from natural language path instructions
Hideki Deguchi, Kazuki Shibata, Shun Taguchi
In this paper, a method for generating a map from path information described using natural language (textual path) is proposed. In recent years, robotics research mainly focus on v…
cs.RO2024
CLIP feature-based randomized control using images and text for multiple tasks and robots
Kazuki Shibata, Hideki Deguchi, Shun Taguchi
This study presents a control framework leveraging vision language models (VLMs) for multiple tasks and robots. Notably, existing control methods using VLMs have achieved high perf…