Nvidia's Omniverse platform represents a paradigm shift in the realm of virtual environments
and simulation technologies. This paper presents a comprehensive examination of the …

Cyber-Physical Systems (CPSs) are increasingly prevalent across various industrial and
daily-life domains, with applications ranging from robotic operations to autonomous driving …

3D scene understanding is a long-standing challenge in computer vision and a key
component in enabling mixed reality, wearable computing, and embodied AI. Providing a …

Nowadays, realistic simulation environments are essential to validate and build reliable
robotic solutions. This is particularly true when using Reinforcement Learning (RL) based …

The automotive industry has improved its quality control systems for detecting manufacturing
defects through the implementation of deep learning. However, collecting and preparing …

The more path conflicts between multiple robots, the more time it takes to avoid each other,
and the more navigation time it takes for the robots to complete all tasks. This study designs …

Given the increasing adoption of modern AI-enabled control systems, ensuring their safety
and reliability has become a critical task in software testing. One prevalent approach to …

Manipulating garments and fabrics has long been a critical endeavor in the advancement of
home-assistant robots, serving as a focal point for researchers in the fields of vision and …