**8. Acknowledgment**

250 The Future of Humanoid Robots – Research and Applications

User: "Person\_2" comes in front of Robovie eyes camera, robot detects the face as

The above scenario shows that the same gesture can be used to represent different meanings and several gestures can be used to denote the same meaning for different persons. A user can design new actions according to his/her desires using 'Robovie' and can design

This chapter describes users, gestures and robot behaviour adaptation method for human robot interaction by integrating computer vision and a knowledge-based software platform. In this method the user defines frames for users, poses, gestures, robots and robot behaviours. This chapter presents a multi-cluster based interactive learning approach for adapting new users and hand poses. However, if a large number of users use a large number of hand poses it is impossible to run this systems in real time. To overcome this

corresponding knowledge frames using SPAK to implement their desired actions.

Person\_1: uses the gesture "FistUp" (stop the interaction)

Robot: " Oh, Good! Do you want to play now?" (speech)

Robot: "Hi, What is your Name?" (speech) Person\_2: Types his name "Person\_2"

Person\_2: uses the gesture "OK" Robot: "Thanks!" (speech)

Person\_2: uses the gesture "LeftHand"

Person\_2: uses the gesture "RightHand"

Person\_2: uses the gesture "TwoHand"

Person\_2: uses the gesture "Three"

Robot: This is three (speech)

Robot: Bye-bye (speech)

**7. Conclusion** 

Robot: imitate user's gesture ("Raise Left Arm")

Robot: imitate user's gesture ("Raise Right Arm")

Fig. 19. Example human-robot (Robovie) interaction

Robot: Bye-bye (speech).

unknown,

I would like to express deep sense of gratitude and thanks to Dr. Haruki Ueno, Professor, Department of Informatics, National Institute of Informatics, Tokyo, Japan, for his sagacious guidance, encouragement and every possible help throughout this research work. I am grateful to Dr. Y. Shirai, Professor, Department of Human and Computer Intelligence, School of Information Science and Engineering, Ritsumeikan University, for his ingenious inspiration, suggestions and care in the whole research period. I would also like to express my sincere thanks to Professor H. Gotoda, Department of Informatics, National Institute of Informatics,Tokyo, Japan, for his valuable suggestions throughout the research. I must also thank to Dr. T. Zhang and Dr. V. Ampornaramveth for their assistance and suggestions during this research work.
