This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …

Object pose recovery has gained increasing attention in the computer vision field as it has
become an important problem in rapidly evolving technological areas related to autonomous …

We present the design of a learning-based compliance controller for assembly operations
for industrial robots. We propose a solution within the general setting of learning from …

Abstract Estimating Six Degree-of-Freedom (6DoF) poses of known objects that are
randomly placed in a cluttered bin is a fundamental task in computer vision and robotics …

6D object pose estimation problem has been extensively studied in the field of Computer
Vision and Robotics. It has wide range of applications such as robot manipulation …

Converting widely-available 2D images and videos, captured using an RGB camera, to 3D
can help accelerate the training of machine learning systems in spatial reasoning domains …

Competitive robotized manufacturing of high specter variance, low volume product lines
represents market opportunities for manufacturing companies, but cost-efficient production is …

We propose a novel method using a Convolutional Neural Network (CNN) for probabilistic
6D object pose estimation from color images. Unlike other methods that compute only one …

摘要现有的三维物体识别和位姿估计方法无法很好地用于散乱堆放物体的场景,
尤其是有严重遮挡和混叠的场景. 使用基于点对特征的点云匹配和位姿估计算法 …

Pose estimation is important for many robotic applications including bin picking and robotic
assembly and collaboration. However, robust and accurate estimation of the poses of …