Transferring Simulation-evolved Controllers to Real Robots from Evolutionary online behaviour learning and adaptation in real robots

Assessment of how the highest-performing controllers found in simulation transfer to real robots, configuration of the odNEAT algorithm, and two complementary figures with behaviour-fitness maps for the aggregation task and for the adaptation experiments.

本数据集涵盖对仿真环境中获取的最优控制器向真实机器人的迁移效果的评估、odNEAT算法的配置，以及两张分别附带聚集任务与自适应实验行为-适应度映射的互补附图。