Physically assistive robots present an opportunity to significantly increase the well-being
and independence of individuals with motor impairments or other forms of disability who are …

The recent introduction of large language models (LLMs) has revolutionized the field of
robotics by enabling contextual reasoning and intuitive human-robot interaction in domains …

Navigating and understanding complex environments over extended periods of time is a
significant challenge for robots. People interacting with the robot may want to ask questions …

As robots become increasingly capable, users will want to describe high-level missions and
have robots fill in the gaps. In many realistic settings, pre-built maps are difficult to obtain, so …

This paper presents the concept of Industry 6.0, introducing the world's first fully automated
production system that autonomously handles the entire product design and manufacturing …

This paper presents the development of an innovative communication interface between
humans and robots, designed for human-in-the-loop interaction with a user interface through …

Robot perception difficulties in complex environments seriously affect robot operational
efficiency. The application of generative big model (GBM) technology on robots through the …

This paper presents a novel approach to building mission planners based on neural
networks with Transformer architecture and Large Language Models (LLMs). This approach …

To operate at a building scale, service robots must perform very long-horizon mobile
manipulation tasks by navigating to different rooms, accessing different floors, and …

Large language models (LLMs) have assumed an increasingly crucial role in robotic
systems because of their ability to leverage the extensive knowledge they possess in robotic …