Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation 事件

Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation arXiv:2510.23057v2 Announce Type: replace-cross Abstract: We present Seq-DeepIPC, a sequential end-to-end perception-to-control model for legged robot navigation in real-world environments. Seq-DeepIPC advances intelligent sensing for autonomous legged navigation by tightly integrating multi-modal perception (RGB-D + GNSS) with temporal fusion and control. The model jointly predicts semantic segmentation and depth