A-Ant

该数据集对异常机器人系统进行了总结，这些系统的物理参数被改变，导致状态转换出现异常。具体来说，与正常直径为12×80毫米的机器人相比，A-Ant型号的腿部直径被改变为12×88毫米。在规模方面，该数据集包含了2000次迭代训练，并在1000个系统上进行了测试（其中90%为正常系统，10%为异常系统）。任务目标是检测机器人系统中的异常。This dataset summarizes anomalous robotic systems, whose physical parameters have been modified, leading to abnormal state transitions. Specifically, compared with normal robots with a leg diameter of 12×80 mm, the leg diameter of the A-Ant model has been adjusted to 12×88 mm. In terms of scale, this dataset includes 2000 training iterations and is tested on 1000 systems, where 90% are normal systems and 10% are anomalous systems. The task objective is to detect anomalies in robotic systems.