Evolutionary Robotics Simulation Data
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/ci-group/revolve/tree/battery-master
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资源简介:
该数据集包含了两个实验的结果:一个基准实验,仅关注速度;另一个是电池实验,在机器人形态进化的过程中,同时考虑速度和能源消耗作为目标。数据集记录了包括速度、剩余电池电量、步态稳定性以及进化机器人的形态描述在内的多种指标。规模上,共有1000个机器人在100代中进化,每个实验重复进行了10次。任务是基于速度和能源效率对机器人形态和行为进行多目标优化。
This dataset encompasses the results of two distinct experiments: a baseline experiment exclusively focused on speed, and a battery experiment that takes both speed and energy consumption as dual objectives during the evolutionary process of robotic morphologies. The dataset documents a variety of metrics including speed, remaining battery level, gait stability, and morphological descriptions of the evolved robots. In terms of scale, a total of 1000 robots were evolved over 100 generations, with each experiment repeated 10 times. The task is to perform multi-objective optimization of robotic morphologies and behaviors based on speed and energy efficiency.
提供机构:
CI Group



