6 papers
DDBot: Differentiable Physics-based Digging Robot for Unknown Granular Materials
Xintong Yang, Minglun Wei, Yu-Kun Lai +1
Automating the manipulation of granular materials poses significant challenges due to complex contact dynamics, unpredictable material properties, and intricate system states. Exis…
Differentiable Skill Optimisation for Powder Manipulation in Laboratory Automation
Minglun Wei, Xintong Yang, Yu-Kun Lai +1
Robotic automation is accelerating scientific discovery by reducing manual effort in laboratory workflows. However, precise manipulation of powders remains challenging, particularl…
A Physics-informed Demonstration-guided Learning Framework for Granular Material Manipulation
Minglun Wei, Xintong Yang, Yu-Kun Lai +2
Due to the complex physical properties of granular materials, research on robot learning for manipulating such materials predominantly either disregards the consideration of their…
MirrorSAM2: Segment Mirror in Videos with Depth Perception
Mingchen Xu, Yukun Lai, Ze Ji +1
This paper presents MirrorSAM2, the first framework that adapts Segment Anything Model 2 (SAM2) to the task of RGB-D video mirror segmentation. MirrorSAM2 addresses key challenges…
Skeletonization Quality Evaluation: Geometric Metrics for Point Cloud Analysis in Robotics
Qingmeng Wen, Yu-Kun Lai, Ze Ji +1
Skeletonization is a powerful tool for shape analysis, rooted in the inherent instinct to understand an object's morphology. It has found applications across various domains, inclu…
Differentiable Physics-based System Identification for Robotic Manipulation of Elastoplastic Materials
Xintong Yang, Ze Ji, Yu-Kun Lai
Robotic manipulation of volumetric elastoplastic deformable materials, from foods such as dough to construction materials like clay, is in its infancy, largely due to the difficult…