不确定环境下刚柔融合机器人避障运动仿真自主进化控制策略数据

本数据集记录了刚柔融合机器人在不确定环境下进行避障运动仿真时的自主进化控制策略数据，包括策略改进历史数据与网络训练数据 。采集方案是利用强化学习算法训练策略网络，并在仿真避障过程中记录策略的进化过程 。该数据用于展示机器人面对未知环境的自适应能力，支持自主进化控制策略生成技术报告的撰写与考核 。

This dataset contains autonomous evolutionary control strategy data collected during obstacle-avoidance motion simulation of rigid-flexible coupled robots in uncertain environments, including historical strategy improvement records and network training data. The data collection workflow adopts reinforcement learning algorithms to train the strategy network, and records the evolutionary trajectory of the control strategy throughout the obstacle-avoidance simulation process. This dataset is intended to demonstrate the adaptive capability of robots when facing unknown environments, and supports the compilation and evaluation of technical reports on autonomous evolutionary control strategy generation technologies.