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Foundation models for robotic perception and control

Published on:

8 February 2024

Primary Category:


Paper Authors:

Kento Kawaharazuka,

Tatsuya Matsushima,

Andrew Gambardella,

Jiaxian Guo,

Chris Paxton,

Andy Zeng


Key Details

Reviews application of foundation models in robotics

Focuses on replacing components of existing systems

Summarizes input-output relationships

Discusses use for perception, planning, control

Concludes with future challenges

AI generated summary

Foundation models for robotic perception and control

This paper reviews how foundation models like large language models and vision-language models can replace components in existing robot systems for perception, planning, and control. It focuses on input-output relationships and applications in robotics, concluding with future challenges.

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