In order to achieve visionary concepts such as Society 5.0 and Industry 5.0, there is a
growing need for people who are able to create innovative robotic technologies. Training …

In this article, a controller based on a Robot Operating System (ROS) for a two-wheeled self-
balancing robot is designed. The proposed ROS architecture is open, allowing the …

Large language models (LLM) are now the de facto task planners for Embodied AI (EAI)
systems. This shift can be attributed to LLMs' powerful, emergent properties which enable …

To facilitate continuous development of novel HRI systems, it is beneficial to have tools that
enable quick adjustments, flexibility, or re-invention of the human interfaces when system …

Performing a manipulation contact task in an unknown and unstructured environment is still
a challenge. Learning from Demonstration (LfD) techniques provide an intuitive means to …

Recent advances in generative modeling have spurred a resurgence in the field of
Embodied Artificial Intelligence (EAI). EAI systems typically deploy large language models to …

Autonomous robots need to be able to handle uncertainties when deployed in the real
world. For the robot to be able to robustly work in such an environment, it needs to be able to …

ABSTRACT Unmanned Underwater Vehicles (UUVs) operate in complex environments and
need to be able to adapt to sudden failures, or changes in the environment. To achieve …