Simultaneously learning intentions and preferences during physical human-robot cooperation
Linda van der Spaa,
Jens Kober,
Michael Gienger
Abstract:The advent of collaborative robots allows humans and robots to cooperate in a direct and physical way. While this leads to amazing new opportunities to create novel robotics applications, it is challenging to make the collaboration intuitive for the human. From a system’s perspective, understanding the human intentions seems to be one promising way to get there. However, human behavior exhibits large variations between individuals, such as for instance preferences or physical abilities. This paper presents a n… Show more
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