Feature semantic space-based sim2real decision model
W Xiao, X Luo, S Xie - Applied Intelligence, 2023 - Springer
At present, the intelligent decision model of unmanned systems can only be applied to
virtual scenes, which makes it difficult to migrate to real scenes because the image gap …
virtual scenes, which makes it difficult to migrate to real scenes because the image gap …
Development of a Lunar Rover Simulator with an Interface for Reinforcement Learning
A Khunmaturod, DE Chang - 2024 9th International …, 2024 - ieeexplore.ieee.org
In this paper, we propose an open-source lunar rover simulator integrated with a
reinforcement learning framework. We incorporate lunar environmental effects in our …
reinforcement learning framework. We incorporate lunar environmental effects in our …
Bayesian reinforcement learning for navigation planning in unknown environments
This study focuses on a rescue mission problem, particularly enabling agents/robots to
navigate efficiently in unknown environments. Technological advances, including …
navigate efficiently in unknown environments. Technological advances, including …
SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images
The visuomotor system of any animal is critical for its survival, and the development of a
complex one within humans is large factor in our success as a species on Earth. This system …
complex one within humans is large factor in our success as a species on Earth. This system …