Some essential skills and their combination in an architecture for a cognitive and interactive robot
This work addresses the challenge of human-robot collaboration, which is important for robotics and AI applications, but it is incremental as it builds on existing knowledge from human-human interaction without introducing new methods or data.
The paper tackles the problem of enabling autonomous robots to collaborate efficiently and naturally with humans by identifying essential skills for joint action and discussing their integration into a cognitive architecture, but does not report specific experimental results or concrete numbers.
The topic of joint actions has been deeply studied in the context of Human-Human interaction in order to understand how humans cooperate. Creating autonomous robots that collaborate with humans is a complex problem, where it is relevant to apply what has been learned in the context of Human-Human interaction. The question is what skills to implement and how to integrate them in order to build a cognitive architecture, allowing a robot to collaborate efficiently and naturally with humans. In this paper, we first list a set of skills that we consider essential for Joint Action, then we analyze the problem from the robot's point of view and discuss how they can be instantiated in human-robot scenarios. Finally, we open the discussion on how to integrate such skills into a cognitive architecture for human-robot collaborative problem solving and task achievement.