Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |||
| 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| 12 | 13 | 14 | 15 | 16 | 17 | 18 |
| 19 | 20 | 21 | 22 | 23 | 24 | 25 |
| 26 | 27 | 28 | 29 | 30 | 31 |
Tags
- 백준
- DP
- real-time object detection
- 강화학습
- Python
- hm3dsem
- hm3d
- eecs 498
- dfs
- dynamic programming
- Reinforcement Learning
- NLP
- BFS
- opencv
- MySQL
- r-cnn
- deep learning
- 머신러닝
- CNN
- ubuntu
- image processing
- Mask Processing
- C++
- machine learning
- YoLO
- LSTM
- AlexNet
- 딥러닝
- two-stage detector
- 그래프 이론
Archives
- Today
- Total
목록2025/10/08 (1)
JINWOOJUNG
[RFM] Foundation models in robotics: Applications, challenges, and the future
Paperhttps://arxiv.org/abs/2312.07843 Foundation Models in Robotics: Applications, Challenges, and the FutureWe survey applications of pretrained foundation models in robotics. Traditional deep learning models in robotics are trained on small datasets tailored for specific tasks, which limits their adaptability across diverse applications. In contrast, foundationarxiv.org Intro AI, Robotics에 관심이..
Robot Foundation Models
2025. 10. 8. 20:38