The field of robotics has been rapidly develo** in recent years, and the work related to
training robotic agents with reinforcement learning has been a major focus of research. This …

Learning from demonstration is one of the most promising methods to counteract the
challenging long-term trends in repetitive industrial assembly. It offers not only a …

Large Language Models (LLMs) have the potential to catalyze a paradigm shift in end-user
robot programming---moving from the conventional process of user specifying programming …

Collaboration between human and robot requires interaction modalities that suit the context
of the shared tasks and the environment in which it takes place. While an industrial …

Programming a smart home is an iterative process in which users configure and test the
automation during the in-situ experience with IoT space. However, current end-user …

Robots artificially replicate human capabilities thanks to their software, the main
embodiment of intelligence. However, engineering robotics software has become …

Social robots have the potential to revolutionize the way we interact with technology,
providing a wide range of services and applications in various domains, such as healthcare …

This paper presents ROSGPT, an innovative concept that harnesses the capabilities of large
language models (LLMs) to significantly advance human-robot interaction. We develop …

Assistive robotic systems are quickly becoming a core technology for the service sector as
they are understood capable of supporting people in need of assistance in a wide variety of …

The field of end-user robot programming seeks to develop methods that empower non-
expert programmers to task and modify robot operations. In doing so, researchers may …