Intuitive Robot

Intuitive robot control aims to make robots easily programmable and operable by non-experts, broadening their accessibility and applicability. Current research focuses on integrating large language models (LLMs) with robotic systems, enabling natural language instruction and task planning, often enhanced by visual grounding and imitation learning techniques. This work leverages various architectures, including recurrent neural networks and transformers, to achieve robust and adaptable robot behavior, impacting fields ranging from manufacturing automation to assistive robotics.