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 …

Enabling robots to learn manipulation tasks by observing human demonstrations remains a
major challenge. Recent advances in video captioning tasks provide an end-to-end method …

The learning-from-observation (LfO) paradigm allows a robot to learn how to perform actions
by observing human actions. Previous research in top-down learning-from-observation has …

The advent of Large Language Models (LLMs) has empowered robots to execute tasks
based on human instructions. Nonetheless, the challenge still persists in endowing robots …

We present the Interactive Task Encoding System (ITES) for teaching robots to perform
manipulative tasks. ITES is designed as an input system for the Learning-from-Observation …

With the rapid development of drone technology, the application of multi-drones is becoming
increasingly widespread in various fields. However, the task planning technology for multi …

A user often needs training and guidance while performing several daily life procedures, eg,
cooking, setting up a new appliance, or doing a COVID test. Watch-based human activity …

The current live-line maintenance robot in the power distribution network faces a significant
challenge. The commonly used operational methods have their limitations. Teleoperation …