Higher dimensional data such as video and 3D are the leading edge of multimedia retrieval
and computer vision research. In this survey, we give a comprehensive overview and key …

As there come to be more applications of intelligent robots, their task object is becoming
more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We …

Abstract 3D target detection is a research hotspot in recent years. In the field of autonomous
driving, 3D target detection is mainly targeted at outdoor scenes that the camera height is …

With the diversity of manipulator grasping methods and the complexity of the unstructured
environment, the grasping planning of the target object is very complicated. However, the …

There are a variety of objects, random postures and multiple objects stacked in a
disorganized manner in unstructured home applications, which leads to the object grasping …

This paper addresses the task of estimating the 6 degrees of freedom pose of a known 3D
object from depth information represented by a point cloud. Deep features learned by …

Accurate object 6D pose estimation is a core task for robot bin-picking applications,
especially when objects are randomly stacked with heavy occlusion. To address this …

Autonomous assembly is a crucial capability for robots in many applications. For this task,
several problems such as obstacle avoidance, motion planning, and actuator control have …

Robotic grasping has the challenge of accurately extracting the graspable target from a
complicated scenario. To address the issue, we propose a 3D vision prediction framework …

Most supervised learning-based pose estimation methods for stacked scenes are trained on
massive synthetic datasets. In most cases, the challenge is that the learned network on the …