Turtlebot3 Maze Environment
收藏arXiv2025-09-30 收录
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资源简介：
该数据集是由Turtlebot3移动机器人在带有障碍物的迷宫空间中对深度强化学习（DRL）算法进行训练所生成的。它包含了模拟环境和物理环境的数据，同时还包括了源代码和实验结果。该数据集的规模为500个采样轨迹，其任务是评估由DRL驱动的机器人与自主系统的一致性属性。
This dataset was generated by training deep reinforcement learning (DRL) algorithms using the Turtlebot3 mobile robot in a maze space with obstacles. It contains data from both simulated and physical environments, as well as source code and experimental results. The dataset consists of 500 sampled trajectories, and its purpose is to evaluate the consistency properties of DRL-driven robots and autonomous systems.
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