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
- hm3dsem
- dynamic programming
- MySQL
- C++
- real-time object detection
- AlexNet
- r-cnn
- BFS
- ubuntu
- 백준
- 그래프 이론
- 머신러닝
- hm3d
- CNN
- LSTM
- eecs 498
- DP
- Reinforcement Learning
- 강화학습
- dfs
- Python
- 딥러닝
- Mask Processing
- two-stage detector
- deep learning
- NLP
- machine learning
- YoLO
- image processing
- opencv
Archives
- Today
- Total
목록physical ai (1)
JINWOOJUNG
[RFM] Foundation models in robotics: Applications, challenges, and the future(0)
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