3 accepted papers
The emergence of multimodal technologies has propelled Vision-Language Incremental Learning (VLIL) into a research spotlight. Current VLIL approaches predominantly inherit unimodal paradigms, failing to address fundamental distinctions between visual and linguistic modalities. Crucially, the semanti
Behavior cloning (BC) is a widely used method for learning from expert demonstrations due to its simplicity and efficiency. However, the reliability and stability of BC decline when facing data distribution shifts, especially in single-arm robots with limited fields of view. This study introduces a
This paper proposed M3DSS, a multi-platform, multi-sensor, and multi-scenario dataset for Simultaneous Localization and Mapping (SLAM) systems. Fifty-five sequences were collected from multiple platforms, including a handheld equipment, an unmanned ground vehicle, a quadruped robot, a car, and an un