This paper delves into the potential of Large Language Model (LLM) agents for industrial
robotics, with an emphasis on autonomous design, decision-making, and task execution …

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 …

The realization of universal robots is an ultimate goal of researchers. However, a key hurdle
in achieving this goal lies in the robots' ability to manipulate objects in their unstructured …

As foundation models increasingly permeate sensitive domains such as healthcare, finance,
and mental health, ensuring their behavior meets desired outcomes and social expectations …

Protocol standardization and sharing are crucial for reproducibility in life sciences. In spite of
numerous efforts for standardized protocol description, adherence to these standards in …

Large Language Models (LLMs) are being used to expand the concept of End-User
Development (EUD), allowing end users to describe their needs related to the creation …

Generating executable code through natural language instructions to drive robotic
movements is considered a crucial step towards achieving embodied intelligence. However …

Abstract Knowledge Tracing (KT) assesses students' mastery of specific knowledge
concepts and predicts their problem-solving abilities by analyzing their interactions with …

In recent advancements in robotics, Artificial Intelligence (AI) methods such as Deep
Learning, Deep Reinforcement Learning (DRL), Transformers, and Large Language Models …