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Updated: Jan 29, 2026

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基于LSTM的2DOF平面三角形机器人的绝对位置估计,使用时间序列数据

Seunghwan Baek1

  • 1Department of Electrical and Electronic Engineering, Youngsan University, Yangsan 50510, Republic of Korea.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究使用深度学习来预测机器人的位置从自由运动期间的力信号. 该方法准确地估计了机器人的绝对定位,在大多数测试案例中实现了小于5毫米的误差.

关键词:
2-DOF三角洲机器人机器人这是LSTM的LSTM.机器人动态 机器人动态机器人操纵能力 机器人操纵能力时间序列数据数据时间序列数据

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