The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …

Object pose detection and tracking has recently attracted increasing attention due to its wide
applications in many areas, such as autonomous driving, robotics, and augmented reality …

Given a single scene image, this paper proposes a method of Category-level 6D Object
Pose and Size Estimation (COPSE) from the point cloud of the target object, without external …

Robot harvesting has emerged as an urgent need for apple industry due to a sharp decline
in agricultural labor. In the field of harvesting robots, the use of multiple robotic arms to …

Precise localization of occluded fruits is crucial and challenging for robotic harvesting in
orchards. Occlusions from leaves, branches, and other fruits make the point cloud acquired …

Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …

We present a novel and efficient approach to estimate 6D object poses of known objects in
complex scenes represented by point clouds. Our approach is based on the well-known …

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 …

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

Dexterous manipulation of objects in virtual environments with our bare hands, by using only
a depth sensor and a state-of-the-art 3D hand pose estimator (HPE), is challenging. While …