Residual Depthwise-Separable Temporal Convolutional Network for Robot Localization
Robot indoor localization is essential for navigation and autonomous operation in GPS-denied environments. In complex indoor spaces, wireless signals are affected by multipath propagation, non-line-of-sight (NLOS) blockage, and spatial layout changes, making channel state information (CSI)-based localization challengin...