Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

With extensive pretrained knowledge and high-level general capabilities, large language
models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in …

Abstract Automated Planning and Scheduling is among the growing areas in Artificial
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …

The potential use of large language models (LLMs) in healthcare robotics can help address
the significant demand put on healthcare systems around the world with respect to an aging …

Bimanual manipulation is critical to many robotics applications. In contrast to single-arm
manipulation, bimanual manipulation tasks are challenging due to higher-dimensional …

Large language models (LLMs) show remarkable capabilities across a variety of tasks.
Despite the models only seeing text in training, several recent studies suggest that LLM …

Robotic assembly tasks are open challenges due to the long task horizon and complex part
relations. Behavior trees (BTs) are increasingly used in robot task planning for their …

" Hey, robot. Let's tidy up the kitchen. By the way, I have back pain today". How can a robotic
system devise a shared plan with an appropriate task allocation from this abstract goal and …

Chemistry experimentation is often resource-and labor-intensive. Despite the many benefits
incurred by the integration of advanced and special-purpose lab equipment, many aspects …

The usage of Large Language Models (LLMs) has increased recently, not only due to the
significant improvements in their accuracy but also because of the use of the quantization …