CLIP feature-based randomized control using images and text for multiple tasks and robots

Author:

Shibata Kazuki1,Deguchi Hideki1,Taguchi Shun1ORCID

Affiliation:

1. Collaborative Intelligence Research-Domain, Toyota Central R&D Labs, Inc, Nagakute, Aichi, Japan

Publisher

Informa UK Limited

Reference42 articles.

1. Zson: zero-shot object-goal navigation using multimodal goal embeddings;Majumdar A;Adv Neural Inf Process Syst,2022

2. Dorbala VS Sigurdsson G Piramuthu R et al. Clip-nav: using clip for zero-shot vision-and-language navigation. arXiv preprint arXiv:221116649; 2022.

3. Shah D Osinski B Ichter B et al. LM-Nav: robotic navigation with large pre-trained models of language vision and action; 2022.

4. Gadre SY Wortsman M Ilharco G et al. CoWs on pasture: baselines and benchmarks for language-driven zero-shot object navigation; 2022.

5. Zhou K Zheng K Pryor C et al. Esc: exploration with soft commonsense constraints for zero-shot object navigation. arXiv preprint arXiv:230113166; 2023.

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