# HG changeset patch # User tatsuki # Date 1435279100 -32400 # Node ID 7104d522d2f0361b37513159a69130b662ed1c54 # Parent 62f384a20c2ca2ce0a49964912e6dd8844d7503f fix diff -r 62f384a20c2c -r 7104d522d2f0 slide.html --- a/slide.html Fri Jun 26 09:09:58 2015 +0900 +++ b/slide.html Fri Jun 26 09:38:20 2015 +0900 @@ -35,7 +35,7 @@ @@ -700,25 +700,6 @@
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converter

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  • converter given joint angles would consist in a one-to-one mapping between an observed human subject and the robot
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  • convert is addressed by applying a post-processing procedure in joint angle space
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  • the joint angles, given in the MMM format,are optimized concerning the tool centre point position
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  • solution is estimated by using the joint configuration of the MMM model on the robot
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MMM support

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Conversion example of MMM

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  • After programming the postures directly on the MMM model they were processed by the converter
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  • After programming the motion on the MMM model they were processed by the converter
  • the human model contains many joints, which are not present in the robot configuration
  • ARMAR is not bending the body when performing a bow
  • It was expressed using a portion present in the robot (e.g., the neck)
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GestureExample

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ImplementGestureARMARā…¢

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Modular Controller Architecture, a modular software framework

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Modular Controller Architecture, a modular software framework

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Implementation of words

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table of greeting words

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Implementation of words

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Experiment description

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Experiment description2

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Experiment description3

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Statistics of participants

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tatistics of participants

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The experiment protocol is as follows 1~5

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The experiment protocol is as follows 6~10

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Results

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Results

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Results

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Results

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Limitations and improvements

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Limitations and improvements

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  • Speech recognition system and cameras could also detect the human own greeting
  • Robot itself , to determine whether the greeting was correct
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  • Speech recognition system and cameras could also detect the human own greeting
  • The decision to check the distance to the partner , the timing of the greeting , head orientation , or to use other information , whether the response to a greeting is correct and what is expected
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Limitations and improvements

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Different kinds of embodiment

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  • Humanoid robot has a body similar to the human
  • robot can change shape , the size capability
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  • Type of greeting me to select the appropriate effect for each robot
  • By expanding this robot , depending on their physical characteristics , it is possible to start discovering interaction method with the best human yourself
diff -r 62f384a20c2c -r 7104d522d2f0 slide.md --- a/slide.md Fri Jun 26 09:09:58 2015 +0900 +++ b/slide.md Fri Jun 26 09:38:20 2015 +0900 @@ -189,11 +189,6 @@ # Master Motor Map -# converter -* converter given joint angles would consist in a one-to-one mapping between an observed human subject and the robot -* convert is addressed by applying a post-processing procedure in joint angle space -* the joint angles, given in the MMM format,are optimized concerning the tool centre point position -* solution is estimated by using the joint configuration of the MMM model on the robot # MMM support * The MMM framework has a high support for every kind of human-like robot @@ -203,7 +198,7 @@ * the motion representation parts of the MMM can be used nevertheless # Conversion example of MMM -* After programming the postures directly on the MMM model they were processed by the converter +* After programming the motion on the MMM model they were processed by the converter * the human model contains many joints, which are not present in the robot configuration * ARMAR is not bending the body when performing a bow * It was expressed using a portion present in the robot (e.g., the neck) @@ -307,8 +302,8 @@ * The integrated use of cameras would make it possible to determine features such as gender, age, and race of the human # Limitations and improvements +* Speech recognition system and cameras could also detect the human own greeting * Robot itself , to determine whether the greeting was correct -* Speech recognition system and cameras could also detect the human own greeting * The decision to check the distance to the partner , the timing of the greeting , head orientation , or to use other information , whether the response to a greeting is correct and what is expected #Limitations and improvements @@ -317,7 +312,6 @@ # Different kinds of embodiment * Humanoid robot has a body similar to the human * robot can change shape , the size capability -* Type of greeting me to select the appropriate effect for each robot * By expanding this robot , depending on their physical characteristics , it is possible to start discovering interaction method with the best human yourself