并对实验获得的一组数据进行了仿真，结果表明这种算法对于煤矿救援蛇形机器人环境识别和建模是一种有效的方法。
And a group of experimental data is simulated, the results show that this algorithm is an effective method for the coal mine rescue snake like robot to built environment identification and modeling.
针对煤矿灾害发生后复杂的矿井环境，提出一种用于救援机器人的分级扩展式快速扩展随机树(CERRT)算法。
According to the complicated mine environment when a mine disaster occurred, a class expansion type rapid expanded random tree (CERRT) algorithm for the mine rescue robot was provided.
本实用新型属于机器人技术领域，具体地说是一种煤矿井下救援探测机器人。
The utility model belongs to the technical field of a robot, which in particular relates to a downhole rescue detection robot for coal mine.
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