[3줄 Control] 샘플링 대신 뉴럴넷

https://arxiv.org/abs/1806.05767 Motion Planning Networks Fast and efficient motion planning algorithms are crucial for many state-of-the-art robotics applications such as self-driving cars. Existing motion planning methods become ineffective as their computational complexity increases exponentially with the dime arxiv.org 1. Path Planning 문제를 기존에 샘플링 베이스드 방법론으로 풀었다. 시간을 오래 들이면 더 좋은 해가 나오지만 실시간 ..

2021.08.18