Integrating natural language understanding, voice command interpretation and natural
language generation for realtime inference is a challenging problem. However, developing …

This study aims to build a system that bridges the gap between robotics and environmental
understanding by integrating various foundation models. While current visual-language …

Effective access to relevant environmental changes in large human environments is critical
for service robots to perform tasks. Since the position of a dynamic goal such as a human is …

The socially-aware navigation system has evolved to adeptly avoid various obstacles while
performing multiple tasks, such as point-to-point navigation, human-following, and-guiding …

In the rapidly evolving landscape of ro botics, Large Language Models (LLMs) have
emerged as a pivotal tool in enhancing the capabilities of robotic systems. This paper …

This thesis presents a framework that can interpret humans' navigation commands
containing temporal elements and directly translate their natural language instructions into …

This paper presents a framework that can interpret humans' navigation commands
containing temporal elements and directly translate their natural language instructions into …

Humans have the remarkable ability to navigate through unfamiliar environments by solely
relying on our prior knowledge and descriptions of the environment. For robots to perform …

In many settings, such as home care or mobile environments, demands on users' attention,
or users' anticipated level of formal training, or other on-site conditions will make standard …

In recent years, autonomous agents have surged in real-world environments such as our
homes, offices, and public spaces. However, natural human-robot interaction remains a key …