# 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 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
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Conversion example of MMM
@@ -744,7 +725,7 @@
- - 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)
@@ -755,7 +736,7 @@
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GestureExample
@@ -769,7 +750,7 @@
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ImplementGestureARMARā
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@@ -783,7 +764,7 @@
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Modular Controller Architecture, a modular software framework
@@ -801,7 +782,7 @@
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Modular Controller Architecture, a modular software framework
@@ -815,7 +796,7 @@
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Implementation of words
@@ -836,7 +817,7 @@
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table of greeting words
@@ -850,7 +831,7 @@
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Implementation of words
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Experiment description
@@ -885,7 +866,7 @@
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Experiment description2
@@ -905,7 +886,7 @@
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Experiment description3
@@ -924,7 +905,7 @@
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Statistics of participants
@@ -946,7 +927,7 @@
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tatistics of participants
@@ -969,7 +950,7 @@
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The experiment protocol is as follows 1~5
@@ -989,7 +970,7 @@
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The experiment protocol is as follows 6~10
@@ -1009,7 +990,7 @@
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Results
@@ -1028,7 +1009,7 @@
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Results
@@ -1042,7 +1023,7 @@
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Results
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Results
@@ -1073,7 +1054,7 @@
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Limitations and improvements
@@ -1090,7 +1071,7 @@
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Limitations and improvements
@@ -1098,8 +1079,8 @@
+ - 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
@@ -1108,7 +1089,7 @@
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Limitations and improvements
@@ -1124,7 +1105,7 @@
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Different kinds of embodiment
@@ -1134,7 +1115,6 @@
- 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
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