More than one hundred benchmarks have been developed to test the commonsense
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …

Large language models (LLMs) have demonstrated remarkable zero-shot generalization
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …

We introduce a pipeline that enhances a general-purpose Vision Language Model, GPT-4V
(ision), to facilitate one-shot visual teaching for robotic manipulation. This system analyzes …

This paper introduces a novel method for translating natural-language instructions into
executable robot actions using OpenAI's ChatGPT in a few-shot setting. We propose …

Language-conditioned robotic manipulation represents a cutting-edge area of research,
enabling seamless communication and cooperation between humans and robotic agents …

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 …

The ability to grasp objects in-the-wild from open-ended language instructions constitutes a
fundamental challenge in robotics. An open-world grasping system should be able to …

Classical planning systems have shown great advances in utilizing rule-based human
knowledge to compute accurate plans for service robots, but they face challenges due to the …

Learning from human demonstrations is an emerging trend for designing intelligent robotic
systems. However, previous methods typically regard videos as instructions, simply dividing …

" 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 …