5 accepted papers
Transparent objects are common in industrial automation and daily life. However, accurate visual perception of these objects remains challenging due to their reflective and refractive properties. Most previous studies fail to capture contextual information or typically rely on regression-based metho
In specialized domains such as space science and utilization, question answering (QA) systems are required to perform complex multi-fact reasoning over sparse knowledge graphs (KGs). Existing KG-based retrieval-augmented generation (RAG) frameworks often face challenges such as inefficient subgraph
The 6D pose estimation for metal parts is essential in industrial robotic applications. The color homogeneity, texture-less and light-reflecting properties of metal parts raise great challenges. Current 6D pose estimation methods have gained extensive concern using CNNs. However, these CNN-based met
In robotic cockpit inspection scenarios, the 6D pose of highly-variable panel objects is necessary. However, the buttons with different states on the panel cause the variable texture and point cloud, which confuses the traditional invariable object pose estimation method. The bottleneck is the varia…
SLAM systems can retrieve their metric scales and depth information using RGB-D cameras. However, limited by the sensing range and objects structure, RGB-D cameras can not always work well, resulting in failures sometimes. In this work, we present initialization and localization methods based on max…