LSTM

Wenhui Huang1, Yunhan Lin1, Mingxin Liu1

  • 1Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, Hubei, China.

Frontiers in neurorobotics
|February 26, 2024
PubMed
概括

一个新的速度感知时空注意力剩余LSTM (VA-STA-ResLSTM) 神经网络显著提高了操纵器反向动态建模的准确性. 这种先进的模型增强了从运动序列中提取特征,以便更好地控制机器人.