This paper presents a new method for detecting ellipses in images, which has many
applications in pattern recognition and robotic tasks. Previous approaches typically use …

Data-driven methods with deep neural networks demonstrate promising results for accurate
modeling in soft robots. However, deep neural network models rely on voluminous data in …

A massage robot can aid physicians in treating occupational diseases. While massaging, a
robotic manipulator is required to continuously exert desired force according to the …

We consider a decluttering problem where multiple rigid convex polygonal objects rest in
randomly placed positions and orientations on a planar surface and must be efficiently …

Object grasp planning is a challenging task. Recently, methods based on deep learning
have made great progress in this area, but they are highly dependent on datasets, which …

Ellipse detection techniques are often developed and validated in software environments,
neglecting the critical consideration of computational efficiency and resource constraints …

The surface characteristics of billets are crucial for subsequent traceability, yet the
production process generates intricate digital features on their surfaces. This paper …

Ellipse detection has a very wide range of applications in the field of industrial production,
especially in the geometric detection of metallurgical hinge pins. However, the factors in …

Localization in GPS-denied environments is challenging, and many existing solutions have
infrastructural and on-site calibration requirements. This article tackles these challenges by …

Existing methods for ellipse detection popularly adopt the edge-linking strategy—ie, first
combining the elliptical arcs extracted from an edge map into groups and then fitting each …