# HG changeset patch # User Yasutaka Higa # Date 1435280483 -32400 # Node ID e5967e62ebde0fc9b40ed2ca2a35036e1e6436cf # Parent 7104d522d2f0361b37513159a69130b662ed1c54 Mini fixes diff -r 7104d522d2f0 -r e5967e62ebde slide.md --- a/slide.md Fri Jun 26 09:38:20 2015 +0900 +++ b/slide.md Fri Jun 26 10:01:23 2015 +0900 @@ -23,13 +23,6 @@ * As the importance of culture-specific customization of greeting was confirmed. * Acceptance of robots can be improved if they are able to adapt to different kinds of greeting rules. -# Introduction: Methods of implementation adaptive behaviour -* Adaptive behaviour in robotics can be achieved through various methods: - * reinforcement learning - * neural networks - * generic algorithms - * function regression - # Introduction: Greeting interaction with robots * Robots are expected to interact and communicate with humans of different cultural background in a natural way. * It is there therefore important to study greeting interaction between robots and humans. @@ -39,7 +32,6 @@ # Introduction: Objectives of this paper * The robot should be trained with sociology data related to one country, and evolve its behaviour by engaging with people of another country in a small number of interactions. -* For the implementation of the gestures and the interaction experiment, we used the humanoid robot ARMAR-IIIb. * As the experiment is carried out in Germany, the interactions are with German participants, while preliminary training is done with Japanese data, which is culturally extremely different. # Introduction: ARMAR-IIIb @@ -159,8 +151,6 @@ * Thanks to this implementation, mappings can evolve quickly, without requiring hundreds or thousands of iterations * but rather a number comparable to the low number of interactions humans need to understand and adapt to social rules. -# TODO: Please Add slides over chapter (3. implementation of ARMAR-IIIb) - # Implementation on ARMAR-IIIb * ARMAR-III is designed for close cooperation with humans * ARMAR-III has a humanlike appearance @@ -182,7 +172,7 @@ # Master Motor Map -* The body model of MMM model can be seen in the left-hand illustration in Figure +* The body model of MMM model can be seen in the left-hand illustration in Figure * It contains some joints, such as the clavicula, which are usually not implemented in humanoid robots * A conversion module is necessary to perform a transformation between this kinematic model and ARMAR-IIIb kinematic model @@ -190,7 +180,7 @@ -# MMM support +# MMM support * The MMM framework has a high support for every kind of human-like robot * MMM can define the transfer rules * Using the conversion rules, it can be converted from the MMM Model to the movement of the robot @@ -284,7 +274,7 @@ # Results * It referred to how the change in the gesture of the experiment * It has become common Bowing is greatly reduced handshake -* It has appeared hug that does not exist in Japan of mapping +* It has appeared hug that does not exist in Japan of mapping * This is because the participants issued a feedback that hug is appropriate # Results