Human Robot Collaborative Task

Human-robot collaborative tasks (HRCT) research aims to design robots that can effectively and safely work alongside humans, improving efficiency and ergonomics in various settings. Current research focuses on developing robust control algorithms, often leveraging large language models (LLMs) and deep learning architectures like transformers and convolutional neural networks, to enable intuitive human-robot interaction and flexible task planning based on human instructions and feedback. This field is significant because it promises to enhance productivity and safety in manufacturing, healthcare, and daily life by creating adaptable and human-centered robotic systems.