Rover Visual Obstacle Avoidance

By Hans P. Moravec. 1981

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Joon-Young Lee
2. Zhe L. Lin
3. Kaichun Mo
4. Haoxiang Li
5. Jiahui Yu
6. Wenguan Wang
7. Yi Yang
8. Dacheng Tao

Citations in the corpus

• The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation (2018, background): “Usually the robot maintains a dynamic obstacle map to avoid obstacles when executing the planned path [20].”