中国P站

Abstract

This collection of articles highlights advancements in cognitive human-robot interaction, focusing on enabling intuitive and safe collaboration in diverse settings. Research introduces cognitive architectures that allow robots to understand human intentions and adapt to dynamic environments. Approaches like Explainable Artificial Intelligence (AI) are key to building human trust and transparency, providing clear explanations for robot actions. Developing adaptive shared control systems is crucial for robots to anticipate human decision-making, improving collaborative efficiency. Furthermore, frameworks for safe and proactive humanrobot interaction integrate cognitive situation awareness, preventing accidents. Interactive learning from demonstration facilitates efficient skill transfer, paving the way for more natural and effective human-robot teamwork.