The 6D pose estimation of an object from an image is a central problem in many domains of
Computer Vision (CV) and researchers have struggled with this issue for several years …

6D pose estimation is a common and important task in industry. Obtaining the 6D pose of
objects is the basis for many other functions such as bin picking, autopilot, etc. Therefore …

Introduction The current study presents a deep learning framework to determine, in real‐
time, position and rotation of a target organ from an endoscopic video. These inferred data …

6-D pose estimation is an important branch in the field of vision measurement and is widely
used in the fields of robotics, autonomous driving, and reality augmentation. The latest …

The results of oral and maxillofacial surgery (OMS) significantly depend on the individual
capabilities of surgeons. In this article, an autonomous surgical robot is proposed to …

Random bin-picking is a prominent, useful, and challenging industrial robotics application.
However, many industrial and real-world objects are planar and have oriented surface …

Pose estimation is a basic module in many robot manipulation pipelines. Estimating the
pose of objects in the environment can be useful for gras**, motion planning, or …

In order to solve robotic bin-picking problem in many industrial applications, accurate 6D
object pose estimation is one of fundamental technologies. This paper presents a method for …

6D pose estimation of objects is an important part of robot gras**. The latest research
trend on 6D pose estimation is to train a deep neural network to directly predict the 2D …

Abstract 3D Object pose estimation is a critical task in many real-world applications, eg,
robotic manipulation and augmented reality. Most existing methods focus on estimating the …