4 accepted papers
Autonomous navigation of magnetic microswarms in dynamic and unstructured environments is essential for biomedical applications, such as targeted therapy and minimally invasive interventions. However, existing path planning methods struggle to simultaneously achieve real-time adaptability and path s…
Object pose refinement is essential for robust object pose estimation. Previous work has made significant progress towards instance-level object pose refinement. Yet category-level pose refinement is a more challenging problem due to large shape variations within a category and the discrepancies bet…
This paper studies the problem of extracting planar regions in uneven terrains from unordered point cloud measurements. Such a problem is critical in various robotic applications such as robotic perceptive locomotion. While existing approaches have shown promising results in effectively extracting p…
In this paper, we focus on the problem of category-level object pose estimation, which is challenging due to the large intra-category shape variation. 3D graph convolution (3D-GC) based methods have been widely used to extract local geometric features, but they have limitations for complex shaped ob…