Abstract 3D object pose estimation for robotic grasping and manipulation is a crucial task in
the manufacturing industry. In cluttered and occluded scenes, the 6D pose estimation of the …

Robot manipulation, for example, pick-and-place manipulation, is broadly used for intelligent
manufacturing with industrial robots, ocean engineering with underwater robots, service …

摘要人–机器人技能传递(Human-robot skill transfer, HRST) 是指人将操作技能传授给机械臂
使得机器人具备类人化的作业能力, 以达到高效示教编程的目的. 相对于传统的机器人编程技术 …

Accurate 3D object recognition and 6-DOF pose estimation have been pervasively applied
to a variety of applications, such as unmanned warehouse, cooperative robots, and …

Convolutional Neural Networks (CNN) have been successful in processing data signals that
are uniformly sampled in the spatial domain (eg, images). However, most data signals do …

In industrial robotic arm gripping operations within disordered environments, the loss of
physical information on the object's surface is often caused by changes such as varying …

Faster rendering of synthetic images is a core problem in the field of computer graphics.
Rendering algorithms, such as path-tracing is dependent on parameters like size of the …

Three-dimensional (3-D) object recognition task focuses on detecting the objects of a scene
and estimating their 6-DOF pose via effective feature extraction methods. Most recent feature …

In order to achieve safer and more dexterous performance, collision avoidance is a key
element in manipulator trajectory planning. The obstacle detection and avoidance for …

We propose an efficient single shot method for simultaneous 3D object detection and 6-DOF
pose estimation in pure 3D point clouds scenes based on a consensus that one point only …