… CNN-LSTM network is proposed in this paper to accomplish end-to-end path planning for
mobile robots… A LSTM module is employed to smooth the veloctiy of the robot to achieve better …

… an LSTM neural network to achieve safe trajectory planning and navigation for a mobile robot
… The training examples were obtained by operating the mobile robot in a known dynamic …

… In this paper, a local path planning fusion method for mobile robots based on LSTM neural
network, fuzzy logic control, and reinforcement learning is proposed. The method combines …

… The algorithm enables the mobile robot to recognize the type … assisting the mobile robot
to successfully complete the task. … for obstacle avoidance research of mobile robots, but this …

… architectures like Multi Layer Perceptron, CNN, LSTM, CNN-LSTM for path planning on a
grid … Among all the deep learning architectures implemented for path planning, CNN-LSTM …

… , mobile robots are now in every aspect of our lives. Especially with the development of
industry4.0, the need of factories for robot … In addition, in our study, LSTM, RNN and CNN Deep …

… differ from the 3D CNN and LSTM used in this study, this work demonstrates the potential of
deep learning approaches in handling perceptual data. In intelligent robot path planning, the …

… -duty mobile robot is realized based on wavelet threshold denoising and CNNLSTM [12] …
module, data preprocessing module and CNN-LSTM based sideslip angle estimation module. …

… CNN with LSTM in the motion planner. In the navigation experiments, we show that the robot
… Given a mobile robot equipped with an RGB-D camera, we present two motion planners …

… In this paper LSTM is applied for path planning in … a new hy algorithm for mobile robots to
obtain optimal path consists of … In the literatures DL CNN e method proposed in this paper will it …