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Human-Robot Collaboration by Intention recognition using Probabilistic State Machines
Muhammad Awais , Dominik Henrich

Abstract (english)
Combining the intelligent and situation dependent decision making capabilities of a human with the accuracy and power of a robot, performance of many tasks can be improved. The human-robot collaboration scenarios are increasing. Human-robot interaction is not only restricted to the humanoid robots interacting with the humans or to the mobile service robots providing different services but also industrial robots opens a wide range of human-robot collaboration set-ups. Intention recognition plays a key role in intuitive human-robot collaboration. In this paper we present a novel approach for recognizing the human intention using weighted probabilistic state machines. We categorize the recognition task into two categories namely explicit and implicit intention communication. We present a general intention recognition approach that can be applied to any human-robot cooperation situation. The algorithm is tested with an industrial robotic arm.

Publication data

Year: 2010
Publication date: 23. June 2010
Source: 19th IEEE International Workshop on Robotics in Alpe-Adria-Danube Region - RAAD 2010, 23-25 June 2010, Budapest, Hungary
Referrer: http://www.ai3.uni-bayreuth.de/resypub/?mode=pub_show&pub_ref=awais2010a

BibTeX

@ARTICLE{awais2010a,
  TITLE             = "Human-Robot Collaboration by Intention recognition using Probabilistic State Machines",
  AUTHOR            = "Awais, Muhammad and Henrich, Dominik",
  YEAR              = "2010",
  JOURNAL           = "19th IEEE International Workshop on Robotics in Alpe-Adria-Danube Region - RAAD 2010, 23-25 June 2010, Budapest, Hungary",
  HOWPUBLISHED      = "\url{http://www.ai3.uni-bayreuth.de/resypub/?mode=pub_show&pub_ref=awais2010a}",
}

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