Physically Grounded Vision-Language Models for Robotic Manipulation-Reference-Cited by-同舟云学术

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Physically Grounded Vision-Language Models for Robotic Manipulation

Published:2024-05-13 Issue: Volume:36 Page:12462-12469
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Gao Jensen¹,Sarkar Bidipta¹,Xia Fei²,Xiao Ted²,Wu Jiajun¹,Ichter Brian²,Majumdar Anirudha²,Sadigh Dorsa¹

Affiliation:

1. Stanford University

2. Google DeepMind

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610090.pdf?arnumber=10610090

Reference46 articles.

1. Language models as zero-shot planners: Extracting actionable knowledge for embodied agents;Huang

2. Do as i can, not as i say: Grounding language in robotic affordances;Ichter

3. Inner monologue: Embodied reasoning through planning with language models;Huang

4. Open-vocabulary Queryable Scene Representations for Real World Planning

5. Grounded decoding: Guiding text generation with grounded models for embodied agents;Huang;Advances in Neural Information Processing Systems,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reflectance estimation for proximity sensing by vision-language models: utilizing distributional semantics for low-level cognition in robotics;Advanced Robotics;2024-09-02

2. A survey on integration of large language models with intelligent robots;Intelligent Service Robotics;2024-08-13

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