Firoozi, Roya ::: Foundation Models in Robotics: Applications, Challenges, and the Future
Table of Contents
1. List of authors
It’s very long. I only kept the first one.
2. Content ATTACH
suryve of application of foundation models in robotics:
- perception
- decision-making
- control
with highlights in:
- common sense reasoning
- vision-language models
- open-vocabulary visual recognition
with challenges in:
- scarcity of robot-relevent training dat
- safety guarantees
- uncertainty quantification
- real-time execution
with external sources:
3. Notes
4. Comments
4.1. first sight
- This review is very long. 33 pages.
- This review looks neat, with dependency explained and a clear mission of work: usage of foundation model(pretrained large model) in robotics
- lines of works are listed with their keywords and brief intro. work could be done just following those leads and establish those lines of works/ideas, and have a nice flesh of ideas in the field
- evaluation: usage, pro anc cons of techniques, what are the scope, what are typical applications, what are properties, and examples. with one bencharmark; with baseline method, what is changed;input and output, what is mapped to what, information flow, computation compacity, speed
- graphs: lots of graphs, make lots of graphs. This may be an oppurtunity to understnnd how latex graphs work.
- 10 graphs and formula and 9 are in the first 1/3
- background - almost all graphs and formula are in background
- mostly 2022, 2023, oldests are 2014(1), 2015, 2016 could be in rush, field work density, or scope of choise.