Moving and operating autonomously in a field or orchard environment is challenging for
agricultural robots due to the complex task requirements and highly unstructured conditions …

Limited academic course offerings and high barriers to incorporate industrial additive
manufacturing (AM) systems into education has led to an underserved demand for a highly …

Automatic reconstruction and modeling of dormant jujube trees provide a basis and
prerequisite for intelligent pruning applications in large-scale, dwarf, and high-density …

Demand for a highly skilled workforce in the field of additive manufacturing (AM) is growing
but is underserved due to limited academic course offerings and high barriers for …

In the past few years, remote learning has been on a trend of steady growth and it is
projected to remain on that course in the years to come. Additionally, the global COVID-19 …

This article presents the ongoing development and testing of a “shared realities”
computational workflow to support iterative user-centered design with an interactive system …

Modern color and depth (RGB-D) sensing systems are capable of reconstructing convincing
virtual representations of real world environments. These virtual reconstructions can be used …

A bi-level analysis of computed tomography (CT) images of malignant pleural mesothelioma
(MPM) is presented in this paper, starting with a deep learning-based system for …

The method presented in this work reduces the frequency of virtual objects incorrectly
occluding real-world objects in Augmented Reality (AR) applications. Current AR rendering …